├── .gitignore ├── LICENSE ├── README.md ├── constants └── constants.go ├── controllers └── controller.go ├── datasets ├── dataset.csv ├── iris.csv ├── iris_train.csv ├── normalized.csv ├── test_normalized.csv ├── testing │ ├── dataStats.json │ ├── dummyDataset.csv │ └── dummyDataset.json └── train_normalized.csv ├── dto └── dataTransfer.go ├── go.mod ├── go.sum ├── main.go ├── models ├── classNames.go ├── modelConfig.go ├── modelStats.go ├── nn.go ├── stats.json └── test.json ├── routes └── router.go └── utils ├── helper ├── csvFileWriter.go └── helpers.go └── utils.go /.gitignore: -------------------------------------------------------------------------------- 1 | /build 2 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. By contrast, 15 | the GNU General Public License is intended to guarantee your freedom to 16 | share and change all versions of a program--to make sure it remains free 17 | software for all its users. We, the Free Software Foundation, use the 18 | GNU General Public License for most of our software; it applies also to 19 | any other work released this way by its authors. You can apply it to 20 | your programs, too. 21 | 22 | When we speak of free software, we are referring to freedom, not 23 | price. Our General Public Licenses are designed to make sure that you 24 | have the freedom to distribute copies of free software (and charge for 25 | them if you wish), that you receive source code or can get it if you 26 | want it, that you can change the software or use pieces of it in new 27 | free programs, and that you know you can do these things. 28 | 29 | To protect your rights, we need to prevent others from denying you 30 | these rights or asking you to surrender the rights. Therefore, you have 31 | certain responsibilities if you distribute copies of the software, or if 32 | you modify it: responsibilities to respect the freedom of others. 33 | 34 | For example, if you distribute copies of such a program, whether 35 | gratis or for a fee, you must pass on to the recipients the same 36 | freedoms that you received. You must make sure that they, too, receive 37 | or can get the source code. And you must show them these terms so they 38 | know their rights. 39 | 40 | Developers that use the GNU GPL protect your rights with two steps: 41 | (1) assert copyright on the software, and (2) offer you this License 42 | giving you legal permission to copy, distribute and/or modify it. 43 | 44 | For the developers' and authors' protection, the GPL clearly explains 45 | that there is no warranty for this free software. For both users' and 46 | authors' sake, the GPL requires that modified versions be marked as 47 | changed, so that their problems will not be attributed erroneously to 48 | authors of previous versions. 49 | 50 | Some devices are designed to deny users access to install or run 51 | modified versions of the software inside them, although the manufacturer 52 | can do so. This is fundamentally incompatible with the aim of 53 | protecting users' freedom to change the software. The systematic 54 | pattern of such abuse occurs in the area of products for individuals to 55 | use, which is precisely where it is most unacceptable. Therefore, we 56 | have designed this version of the GPL to prohibit the practice for those 57 | products. If such problems arise substantially in other domains, we 58 | stand ready to extend this provision to those domains in future versions 59 | of the GPL, as needed to protect the freedom of users. 60 | 61 | Finally, every program is threatened constantly by software patents. 62 | States should not allow patents to restrict development and use of 63 | software on general-purpose computers, but in those that do, we wish to 64 | avoid the special danger that patents applied to a free program could 65 | make it effectively proprietary. To prevent this, the GPL assures that 66 | patents cannot be used to render the program non-free. 67 | 68 | The precise terms and conditions for copying, distribution and 69 | modification follow. 70 | 71 | TERMS AND CONDITIONS 72 | 73 | 0. Definitions. 74 | 75 | "This License" refers to version 3 of the GNU General Public License. 76 | 77 | "Copyright" also means copyright-like laws that apply to other kinds of 78 | works, such as semiconductor masks. 79 | 80 | "The Program" refers to any copyrightable work licensed under this 81 | License. Each licensee is addressed as "you". "Licensees" and 82 | "recipients" may be individuals or organizations. 83 | 84 | To "modify" a work means to copy from or adapt all or part of the work 85 | in a fashion requiring copyright permission, other than the making of an 86 | exact copy. The resulting work is called a "modified version" of the 87 | earlier work or a work "based on" the earlier work. 88 | 89 | A "covered work" means either the unmodified Program or a work based 90 | on the Program. 91 | 92 | To "propagate" a work means to do anything with it that, without 93 | permission, would make you directly or secondarily liable for 94 | infringement under applicable copyright law, except executing it on a 95 | computer or modifying a private copy. Propagation includes copying, 96 | distribution (with or without modification), making available to the 97 | public, and in some countries other activities as well. 98 | 99 | To "convey" a work means any kind of propagation that enables other 100 | parties to make or receive copies. Mere interaction with a user through 101 | a computer network, with no transfer of a copy, is not conveying. 102 | 103 | An interactive user interface displays "Appropriate Legal Notices" 104 | to the extent that it includes a convenient and prominently visible 105 | feature that (1) displays an appropriate copyright notice, and (2) 106 | tells the user that there is no warranty for the work (except to the 107 | extent that warranties are provided), that licensees may convey the 108 | work under this License, and how to view a copy of this License. If 109 | the interface presents a list of user commands or options, such as a 110 | menu, a prominent item in the list meets this criterion. 111 | 112 | 1. Source Code. 113 | 114 | The "source code" for a work means the preferred form of the work 115 | for making modifications to it. "Object code" means any non-source 116 | form of a work. 117 | 118 | A "Standard Interface" means an interface that either is an official 119 | standard defined by a recognized standards body, or, in the case of 120 | interfaces specified for a particular programming language, one that 121 | is widely used among developers working in that language. 122 | 123 | The "System Libraries" of an executable work include anything, other 124 | than the work as a whole, that (a) is included in the normal form of 125 | packaging a Major Component, but which is not part of that Major 126 | Component, and (b) serves only to enable use of the work with that 127 | Major Component, or to implement a Standard Interface for which an 128 | implementation is available to the public in source code form. A 129 | "Major Component", in this context, means a major essential component 130 | (kernel, window system, and so on) of the specific operating system 131 | (if any) on which the executable work runs, or a compiler used to 132 | produce the work, or an object code interpreter used to run it. 133 | 134 | The "Corresponding Source" for a work in object code form means all 135 | the source code needed to generate, install, and (for an executable 136 | work) run the object code and to modify the work, including scripts to 137 | control those activities. However, it does not include the work's 138 | System Libraries, or general-purpose tools or generally available free 139 | programs which are used unmodified in performing those activities but 140 | which are not part of the work. For example, Corresponding Source 141 | includes interface definition files associated with source files for 142 | the work, and the source code for shared libraries and dynamically 143 | linked subprograms that the work is specifically designed to require, 144 | such as by intimate data communication or control flow between those 145 | subprograms and other parts of the work. 146 | 147 | The Corresponding Source need not include anything that users 148 | can regenerate automatically from other parts of the Corresponding 149 | Source. 150 | 151 | The Corresponding Source for a work in source code form is that 152 | same work. 153 | 154 | 2. Basic Permissions. 155 | 156 | All rights granted under this License are granted for the term of 157 | copyright on the Program, and are irrevocable provided the stated 158 | conditions are met. This License explicitly affirms your unlimited 159 | permission to run the unmodified Program. The output from running a 160 | covered work is covered by this License only if the output, given its 161 | content, constitutes a covered work. This License acknowledges your 162 | rights of fair use or other equivalent, as provided by copyright law. 163 | 164 | You may make, run and propagate covered works that you do not 165 | convey, without conditions so long as your license otherwise remains 166 | in force. You may convey covered works to others for the sole purpose 167 | of having them make modifications exclusively for you, or provide you 168 | with facilities for running those works, provided that you comply with 169 | the terms of this License in conveying all material for which you do 170 | not control copyright. Those thus making or running the covered works 171 | for you must do so exclusively on your behalf, under your direction 172 | and control, on terms that prohibit them from making any copies of 173 | your copyrighted material outside their relationship with you. 174 | 175 | Conveying under any other circumstances is permitted solely under 176 | the conditions stated below. Sublicensing is not allowed; section 10 177 | makes it unnecessary. 178 | 179 | 3. Protecting Users' Legal Rights From Anti-Circumvention Law. 180 | 181 | No covered work shall be deemed part of an effective technological 182 | measure under any applicable law fulfilling obligations under article 183 | 11 of the WIPO copyright treaty adopted on 20 December 1996, or 184 | similar laws prohibiting or restricting circumvention of such 185 | measures. 186 | 187 | When you convey a covered work, you waive any legal power to forbid 188 | circumvention of technological measures to the extent such circumvention 189 | is effected by exercising rights under this License with respect to 190 | the covered work, and you disclaim any intention to limit operation or 191 | modification of the work as a means of enforcing, against the work's 192 | users, your or third parties' legal rights to forbid circumvention of 193 | technological measures. 194 | 195 | 4. Conveying Verbatim Copies. 196 | 197 | You may convey verbatim copies of the Program's source code as you 198 | receive it, in any medium, provided that you conspicuously and 199 | appropriately publish on each copy an appropriate copyright notice; 200 | keep intact all notices stating that this License and any 201 | non-permissive terms added in accord with section 7 apply to the code; 202 | keep intact all notices of the absence of any warranty; and give all 203 | recipients a copy of this License along with the Program. 204 | 205 | You may charge any price or no price for each copy that you convey, 206 | and you may offer support or warranty protection for a fee. 207 | 208 | 5. Conveying Modified Source Versions. 209 | 210 | You may convey a work based on the Program, or the modifications to 211 | produce it from the Program, in the form of source code under the 212 | terms of section 4, provided that you also meet all of these conditions: 213 | 214 | a) The work must carry prominent notices stating that you modified 215 | it, and giving a relevant date. 216 | 217 | b) The work must carry prominent notices stating that it is 218 | released under this License and any conditions added under section 219 | 7. This requirement modifies the requirement in section 4 to 220 | "keep intact all notices". 221 | 222 | c) You must license the entire work, as a whole, under this 223 | License to anyone who comes into possession of a copy. This 224 | License will therefore apply, along with any applicable section 7 225 | additional terms, to the whole of the work, and all its parts, 226 | regardless of how they are packaged. This License gives no 227 | permission to license the work in any other way, but it does not 228 | invalidate such permission if you have separately received it. 229 | 230 | d) If the work has interactive user interfaces, each must display 231 | Appropriate Legal Notices; however, if the Program has interactive 232 | interfaces that do not display Appropriate Legal Notices, your 233 | work need not make them do so. 234 | 235 | A compilation of a covered work with other separate and independent 236 | works, which are not by their nature extensions of the covered work, 237 | and which are not combined with it such as to form a larger program, 238 | in or on a volume of a storage or distribution medium, is called an 239 | "aggregate" if the compilation and its resulting copyright are not 240 | used to limit the access or legal rights of the compilation's users 241 | beyond what the individual works permit. Inclusion of a covered work 242 | in an aggregate does not cause this License to apply to the other 243 | parts of the aggregate. 244 | 245 | 6. Conveying Non-Source Forms. 246 | 247 | You may convey a covered work in object code form under the terms 248 | of sections 4 and 5, provided that you also convey the 249 | machine-readable Corresponding Source under the terms of this License, 250 | in one of these ways: 251 | 252 | a) Convey the object code in, or embodied in, a physical product 253 | (including a physical distribution medium), accompanied by the 254 | Corresponding Source fixed on a durable physical medium 255 | customarily used for software interchange. 256 | 257 | b) Convey the object code in, or embodied in, a physical product 258 | (including a physical distribution medium), accompanied by a 259 | written offer, valid for at least three years and valid for as 260 | long as you offer spare parts or customer support for that product 261 | model, to give anyone who possesses the object code either (1) a 262 | copy of the Corresponding Source for all the software in the 263 | product that is covered by this License, on a durable physical 264 | medium customarily used for software interchange, for a price no 265 | more than your reasonable cost of physically performing this 266 | conveying of source, or (2) access to copy the 267 | Corresponding Source from a network server at no charge. 268 | 269 | c) Convey individual copies of the object code with a copy of the 270 | written offer to provide the Corresponding Source. This 271 | alternative is allowed only occasionally and noncommercially, and 272 | only if you received the object code with such an offer, in accord 273 | with subsection 6b. 274 | 275 | d) Convey the object code by offering access from a designated 276 | place (gratis or for a charge), and offer equivalent access to the 277 | Corresponding Source in the same way through the same place at no 278 | further charge. You need not require recipients to copy the 279 | Corresponding Source along with the object code. If the place to 280 | copy the object code is a network server, the Corresponding Source 281 | may be on a different server (operated by you or a third party) 282 | that supports equivalent copying facilities, provided you maintain 283 | clear directions next to the object code saying where to find the 284 | Corresponding Source. Regardless of what server hosts the 285 | Corresponding Source, you remain obligated to ensure that it is 286 | available for as long as needed to satisfy these requirements. 287 | 288 | e) Convey the object code using peer-to-peer transmission, provided 289 | you inform other peers where the object code and Corresponding 290 | Source of the work are being offered to the general public at no 291 | charge under subsection 6d. 292 | 293 | A separable portion of the object code, whose source code is excluded 294 | from the Corresponding Source as a System Library, need not be 295 | included in conveying the object code work. 296 | 297 | A "User Product" is either (1) a "consumer product", which means any 298 | tangible personal property which is normally used for personal, family, 299 | or household purposes, or (2) anything designed or sold for incorporation 300 | into a dwelling. In determining whether a product is a consumer product, 301 | doubtful cases shall be resolved in favor of coverage. For a particular 302 | product received by a particular user, "normally used" refers to a 303 | typical or common use of that class of product, regardless of the status 304 | of the particular user or of the way in which the particular user 305 | actually uses, or expects or is expected to use, the product. A product 306 | is a consumer product regardless of whether the product has substantial 307 | commercial, industrial or non-consumer uses, unless such uses represent 308 | the only significant mode of use of the product. 309 | 310 | "Installation Information" for a User Product means any methods, 311 | procedures, authorization keys, or other information required to install 312 | and execute modified versions of a covered work in that User Product from 313 | a modified version of its Corresponding Source. The information must 314 | suffice to ensure that the continued functioning of the modified object 315 | code is in no case prevented or interfered with solely because 316 | modification has been made. 317 | 318 | If you convey an object code work under this section in, or with, or 319 | specifically for use in, a User Product, and the conveying occurs as 320 | part of a transaction in which the right of possession and use of the 321 | User Product is transferred to the recipient in perpetuity or for a 322 | fixed term (regardless of how the transaction is characterized), the 323 | Corresponding Source conveyed under this section must be accompanied 324 | by the Installation Information. But this requirement does not apply 325 | if neither you nor any third party retains the ability to install 326 | modified object code on the User Product (for example, the work has 327 | been installed in ROM). 328 | 329 | The requirement to provide Installation Information does not include a 330 | requirement to continue to provide support service, warranty, or updates 331 | for a work that has been modified or installed by the recipient, or for 332 | the User Product in which it has been modified or installed. Access to a 333 | network may be denied when the modification itself materially and 334 | adversely affects the operation of the network or violates the rules and 335 | protocols for communication across the network. 336 | 337 | Corresponding Source conveyed, and Installation Information provided, 338 | in accord with this section must be in a format that is publicly 339 | documented (and with an implementation available to the public in 340 | source code form), and must require no special password or key for 341 | unpacking, reading or copying. 342 | 343 | 7. Additional Terms. 344 | 345 | "Additional permissions" are terms that supplement the terms of this 346 | License by making exceptions from one or more of its conditions. 347 | Additional permissions that are applicable to the entire Program shall 348 | be treated as though they were included in this License, to the extent 349 | that they are valid under applicable law. If additional permissions 350 | apply only to part of the Program, that part may be used separately 351 | under those permissions, but the entire Program remains governed by 352 | this License without regard to the additional permissions. 353 | 354 | When you convey a copy of a covered work, you may at your option 355 | remove any additional permissions from that copy, or from any part of 356 | it. (Additional permissions may be written to require their own 357 | removal in certain cases when you modify the work.) You may place 358 | additional permissions on material, added by you to a covered work, 359 | for which you have or can give appropriate copyright permission. 360 | 361 | Notwithstanding any other provision of this License, for material you 362 | add to a covered work, you may (if authorized by the copyright holders of 363 | that material) supplement the terms of this License with terms: 364 | 365 | a) Disclaiming warranty or limiting liability differently from the 366 | terms of sections 15 and 16 of this License; or 367 | 368 | b) Requiring preservation of specified reasonable legal notices or 369 | author attributions in that material or in the Appropriate Legal 370 | Notices displayed by works containing it; or 371 | 372 | c) Prohibiting misrepresentation of the origin of that material, or 373 | requiring that modified versions of such material be marked in 374 | reasonable ways as different from the original version; or 375 | 376 | d) Limiting the use for publicity purposes of names of licensors or 377 | authors of the material; or 378 | 379 | e) Declining to grant rights under trademark law for use of some 380 | trade names, trademarks, or service marks; or 381 | 382 | f) Requiring indemnification of licensors and authors of that 383 | material by anyone who conveys the material (or modified versions of 384 | it) with contractual assumptions of liability to the recipient, for 385 | any liability that these contractual assumptions directly impose on 386 | those licensors and authors. 387 | 388 | All other non-permissive additional terms are considered "further 389 | restrictions" within the meaning of section 10. If the Program as you 390 | received it, or any part of it, contains a notice stating that it is 391 | governed by this License along with a term that is a further 392 | restriction, you may remove that term. If a license document contains 393 | a further restriction but permits relicensing or conveying under this 394 | License, you may add to a covered work material governed by the terms 395 | of that license document, provided that the further restriction does 396 | not survive such relicensing or conveying. 397 | 398 | If you add terms to a covered work in accord with this section, you 399 | must place, in the relevant source files, a statement of the 400 | additional terms that apply to those files, or a notice indicating 401 | where to find the applicable terms. 402 | 403 | Additional terms, permissive or non-permissive, may be stated in the 404 | form of a separately written license, or stated as exceptions; 405 | the above requirements apply either way. 406 | 407 | 8. Termination. 408 | 409 | You may not propagate or modify a covered work except as expressly 410 | provided under this License. Any attempt otherwise to propagate or 411 | modify it is void, and will automatically terminate your rights under 412 | this License (including any patent licenses granted under the third 413 | paragraph of section 11). 414 | 415 | However, if you cease all violation of this License, then your 416 | license from a particular copyright holder is reinstated (a) 417 | provisionally, unless and until the copyright holder explicitly and 418 | finally terminates your license, and (b) permanently, if the copyright 419 | holder fails to notify you of the violation by some reasonable means 420 | prior to 60 days after the cessation. 421 | 422 | Moreover, your license from a particular copyright holder is 423 | reinstated permanently if the copyright holder notifies you of the 424 | violation by some reasonable means, this is the first time you have 425 | received notice of violation of this License (for any work) from that 426 | copyright holder, and you cure the violation prior to 30 days after 427 | your receipt of the notice. 428 | 429 | Termination of your rights under this section does not terminate the 430 | licenses of parties who have received copies or rights from you under 431 | this License. If your rights have been terminated and not permanently 432 | reinstated, you do not qualify to receive new licenses for the same 433 | material under section 10. 434 | 435 | 9. Acceptance Not Required for Having Copies. 436 | 437 | You are not required to accept this License in order to receive or 438 | run a copy of the Program. Ancillary propagation of a covered work 439 | occurring solely as a consequence of using peer-to-peer transmission 440 | to receive a copy likewise does not require acceptance. However, 441 | nothing other than this License grants you permission to propagate or 442 | modify any covered work. These actions infringe copyright if you do 443 | not accept this License. Therefore, by modifying or propagating a 444 | covered work, you indicate your acceptance of this License to do so. 445 | 446 | 10. Automatic Licensing of Downstream Recipients. 447 | 448 | Each time you convey a covered work, the recipient automatically 449 | receives a license from the original licensors, to run, modify and 450 | propagate that work, subject to this License. You are not responsible 451 | for enforcing compliance by third parties with this License. 452 | 453 | An "entity transaction" is a transaction transferring control of an 454 | organization, or substantially all assets of one, or subdividing an 455 | organization, or merging organizations. If propagation of a covered 456 | work results from an entity transaction, each party to that 457 | transaction who receives a copy of the work also receives whatever 458 | licenses to the work the party's predecessor in interest had or could 459 | give under the previous paragraph, plus a right to possession of the 460 | Corresponding Source of the work from the predecessor in interest, if 461 | the predecessor has it or can get it with reasonable efforts. 462 | 463 | You may not impose any further restrictions on the exercise of the 464 | rights granted or affirmed under this License. For example, you may 465 | not impose a license fee, royalty, or other charge for exercise of 466 | rights granted under this License, and you may not initiate litigation 467 | (including a cross-claim or counterclaim in a lawsuit) alleging that 468 | any patent claim is infringed by making, using, selling, offering for 469 | sale, or importing the Program or any portion of it. 470 | 471 | 11. Patents. 472 | 473 | A "contributor" is a copyright holder who authorizes use under this 474 | License of the Program or a work on which the Program is based. The 475 | work thus licensed is called the contributor's "contributor version". 476 | 477 | A contributor's "essential patent claims" are all patent claims 478 | owned or controlled by the contributor, whether already acquired or 479 | hereafter acquired, that would be infringed by some manner, permitted 480 | by this License, of making, using, or selling its contributor version, 481 | but do not include claims that would be infringed only as a 482 | consequence of further modification of the contributor version. For 483 | purposes of this definition, "control" includes the right to grant 484 | patent sublicenses in a manner consistent with the requirements of 485 | this License. 486 | 487 | Each contributor grants you a non-exclusive, worldwide, royalty-free 488 | patent license under the contributor's essential patent claims, to 489 | make, use, sell, offer for sale, import and otherwise run, modify and 490 | propagate the contents of its contributor version. 491 | 492 | In the following three paragraphs, a "patent license" is any express 493 | agreement or commitment, however denominated, not to enforce a patent 494 | (such as an express permission to practice a patent or covenant not to 495 | sue for patent infringement). To "grant" such a patent license to a 496 | party means to make such an agreement or commitment not to enforce a 497 | patent against the party. 498 | 499 | If you convey a covered work, knowingly relying on a patent license, 500 | and the Corresponding Source of the work is not available for anyone 501 | to copy, free of charge and under the terms of this License, through a 502 | publicly available network server or other readily accessible means, 503 | then you must either (1) cause the Corresponding Source to be so 504 | available, or (2) arrange to deprive yourself of the benefit of the 505 | patent license for this particular work, or (3) arrange, in a manner 506 | consistent with the requirements of this License, to extend the patent 507 | license to downstream recipients. "Knowingly relying" means you have 508 | actual knowledge that, but for the patent license, your conveying the 509 | covered work in a country, or your recipient's use of the covered work 510 | in a country, would infringe one or more identifiable patents in that 511 | country that you have reason to believe are valid. 512 | 513 | If, pursuant to or in connection with a single transaction or 514 | arrangement, you convey, or propagate by procuring conveyance of, a 515 | covered work, and grant a patent license to some of the parties 516 | receiving the covered work authorizing them to use, propagate, modify 517 | or convey a specific copy of the covered work, then the patent license 518 | you grant is automatically extended to all recipients of the covered 519 | work and works based on it. 520 | 521 | A patent license is "discriminatory" if it does not include within 522 | the scope of its coverage, prohibits the exercise of, or is 523 | conditioned on the non-exercise of one or more of the rights that are 524 | specifically granted under this License. You may not convey a covered 525 | work if you are a party to an arrangement with a third party that is 526 | in the business of distributing software, under which you make payment 527 | to the third party based on the extent of your activity of conveying 528 | the work, and under which the third party grants, to any of the 529 | parties who would receive the covered work from you, a discriminatory 530 | patent license (a) in connection with copies of the covered work 531 | conveyed by you (or copies made from those copies), or (b) primarily 532 | for and in connection with specific products or compilations that 533 | contain the covered work, unless you entered into that arrangement, 534 | or that patent license was granted, prior to 28 March 2007. 535 | 536 | Nothing in this License shall be construed as excluding or limiting 537 | any implied license or other defenses to infringement that may 538 | otherwise be available to you under applicable patent law. 539 | 540 | 12. No Surrender of Others' Freedom. 541 | 542 | If conditions are imposed on you (whether by court order, agreement or 543 | otherwise) that contradict the conditions of this License, they do not 544 | excuse you from the conditions of this License. If you cannot convey a 545 | covered work so as to satisfy simultaneously your obligations under this 546 | License and any other pertinent obligations, then as a consequence you may 547 | not convey it at all. For example, if you agree to terms that obligate you 548 | to collect a royalty for further conveying from those to whom you convey 549 | the Program, the only way you could satisfy both those terms and this 550 | License would be to refrain entirely from conveying the Program. 551 | 552 | 13. Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | This repo contains the implementation of the data extraction module of libonomy daemon. 4 | The implementation covers the specifications that enables the daemon to extract the data from the node and feed it into the classification agent. 5 | >Note: The initial release covers the module release which is under heavy development and has not reached the beta release in this repository 6 | 7 | > Warning: The current module will be submerged with the daemon release of libonomy fully node implementation on goLang. 8 | 9 | ## Pre-requisites 10 | Ensure that `$GOPATH` is set correctly and that the `$GOPATH/bin` directory appears in `$PATH`. 11 | > OS X, Ubuntu , Windows Support included 12 | - [git](https://git-scm.com/) 13 | - [go lang v1.14+](https://golang.org/) 14 | - Docker. (Next Release) 15 | 16 | 17 | ## Developers Community ? 18 | - Libonomy [discord community](https://libonomy.com/discord) 19 | #### Upcoming Release 20 | - We will be releasing the AI neural network agent for our mainnet daemon 21 | - Support of agent with libonomy Software for macOS,Linux and windows 22 | --- 23 | 24 | -------------------------------------------------------------------------------- /constants/constants.go: -------------------------------------------------------------------------------- 1 | package constants 2 | 3 | import "crypto/rsa" 4 | 5 | // PublicKey comment 6 | var PublicKey rsa.PublicKey 7 | 8 | // PrivateKey comment 9 | var PrivateKey *rsa.PrivateKey 10 | -------------------------------------------------------------------------------- /controllers/controller.go: -------------------------------------------------------------------------------- 1 | package controllers 2 | 3 | import ( 4 | "crypto/rsa" 5 | "encoding/csv" 6 | "encoding/json" 7 | "fmt" 8 | "io/ioutil" 9 | "log" 10 | "math" 11 | "net/http" 12 | "os" 13 | "sort" 14 | "strconv" 15 | 16 | "github.com/libonomy/node-extract/constants" 17 | "github.com/libonomy/node-extract/utils/helper" 18 | 19 | "github.com/libonomy/libonomy-gota/dataframe" 20 | "github.com/libonomy/node-extract/dto" 21 | "github.com/libonomy/node-extract/models" 22 | "github.com/libonomy/node-extract/utils" 23 | "gonum.org/v1/gonum/floats" 24 | "gonum.org/v1/gonum/mat" 25 | ) 26 | 27 | type bodyVariables struct { 28 | MachineID string `json:"machineId"` 29 | ComputerPower float64 `json:"computerPower"` 30 | DownloadSpeed float64 `json:"downSpeed"` 31 | Ylabels string `json:"yLabels"` 32 | } 33 | 34 | type check1 struct { 35 | Name string 36 | } 37 | 38 | type check2 struct { 39 | Name string 40 | } 41 | 42 | type check3 struct { 43 | Name string 44 | } 45 | 46 | type fileStats struct { 47 | LabelIndex int `json:"labelIndex"` 48 | } 49 | 50 | //Testing Function To Test its working 51 | func Testing(w http.ResponseWriter, r *http.Request) { 52 | s := "This is for testing function only" 53 | 54 | dto.SendResponse(w, r, http.StatusOK, "Success", map[string]interface{}{"testing": s}) 55 | } 56 | 57 | //GenerateCSV function to generate csv file from json data. 58 | func GenerateCSV(w http.ResponseWriter, r *http.Request) { 59 | body, _ := ioutil.ReadAll(r.Body) 60 | data := []byte(body) 61 | fmt.Println(string(body)) 62 | decData := helper.DecryptDatafromClient(data) 63 | 64 | //variables := []bodyVariables{} 65 | fileVariables := []bodyVariables{} 66 | var variables []bodyVariables 67 | json.Unmarshal(decData, &variables) 68 | filename := "./datasets/testing/dummyDataset.json" 69 | csvFilename := "./datasets/testing/dummyDataset.csv" 70 | 71 | /* err := json.NewDecoder(r.Body).Decode(&variables) 72 | if err != nil { 73 | fmt.Println("There is some Error in Decoding Body Request", err.Error()) 74 | dto.SendResponse(w, r, http.StatusInternalServerError, "Bad", map[string]interface{}{"Error": err.Error()}) 75 | return 76 | } */ 77 | 78 | //fmt.Println(variables) 79 | _, err := os.Stat(filename) 80 | 81 | if err != nil { 82 | //checking if file does not exists 83 | fmt.Println("Error is os.stat", err.Error()) 84 | //fmt.Println("File Info ", fileInfo) 85 | 86 | jsonFile, _ := os.Create(filename) 87 | csvFile, _ := os.Create(csvFilename) 88 | 89 | defer jsonFile.Close() 90 | file, _ := json.MarshalIndent(variables, "", " ") 91 | _ = ioutil.WriteFile(filename, file, 0644) 92 | 93 | fileOpened, _ := os.Open(filename) 94 | dataFrame := dataframe.ReadJSON(fileOpened) 95 | csvWriter := csv.NewWriter(csvFile) 96 | csvWriter.WriteAll(dataFrame.Records()) 97 | // csvData := dataframe.ReadJSON(jsonFile) 98 | // csvData.WriteCSV(csvFile) 99 | dto.SendResponse(w, r, http.StatusOK, "Successfully Created CSV File From JSON", nil) 100 | return 101 | } 102 | 103 | file, err := os.Open(filename) 104 | if err != nil { 105 | dto.SendResponse(w, r, http.StatusBadRequest, "Cannot create file", nil) 106 | } 107 | fileBytes, _ := ioutil.ReadAll(file) 108 | json.Unmarshal(fileBytes, &fileVariables) 109 | var alreadyExistsCheck bool = false 110 | // fmt.Println("Already Exists Check ", alreadyExistsCheck) 111 | 112 | for index, element := range fileVariables { 113 | if element.MachineID == variables[0].MachineID { 114 | alreadyExistsCheck = true 115 | // fmt.Println("Machine Id Already Exists") 116 | fileVariables[index].ComputerPower = variables[0].ComputerPower 117 | fileVariables[index].DownloadSpeed = variables[0].DownloadSpeed 118 | fileVariables[index].Ylabels = variables[0].Ylabels 119 | } 120 | // fmt.Println("Index", index, "Data", element) 121 | } 122 | 123 | if alreadyExistsCheck == true { 124 | alreadyExistsCheck = false 125 | writeF, _ := json.MarshalIndent(fileVariables, "", " ") 126 | _ = ioutil.WriteFile(filename, writeF, 0644) 127 | 128 | csvFile, _ := os.Create(csvFilename) 129 | fileOpened, _ := os.Open(filename) 130 | dataFrame := dataframe.ReadJSON(fileOpened) 131 | csvWriter := csv.NewWriter(csvFile) 132 | csvWriter.WriteAll(dataFrame.Records()) 133 | 134 | dto.SendResponse(w, r, http.StatusOK, "Successfully Updated CSV File", nil) 135 | return 136 | 137 | } 138 | fileVariables = append(fileVariables, variables[0]) 139 | writeF, _ := json.MarshalIndent(fileVariables, "", " ") 140 | _ = ioutil.WriteFile(filename, writeF, 0644) 141 | 142 | csvFile, _ := os.Create(csvFilename) 143 | fileOpened, _ := os.Open(filename) 144 | dataFrame := dataframe.ReadJSON(fileOpened) 145 | csvWriter := csv.NewWriter(csvFile) 146 | csvWriter.WriteAll(dataFrame.Records()) 147 | 148 | dto.SendResponse(w, r, http.StatusOK, "Successfully Created CSV File From JSON", nil) 149 | } 150 | 151 | //CleanData function to clean data and convert data to specific format 152 | func CleanData(w http.ResponseWriter, r *http.Request) { 153 | filename := "./datasets/testing/dummyDataset.csv" 154 | fileSetStat := "./datasets/testing/dataStats.json" 155 | 156 | f, err := os.Open(filename) 157 | newFile := f 158 | defer newFile.Close() 159 | if err != nil { 160 | fmt.Println("Error in opening file", f.Name(), err.Error()) 161 | dto.SendResponse(w, r, http.StatusInternalServerError, "Error in opening file "+filename+" Error is \n"+err.Error(), nil) 162 | return 163 | } 164 | reader := csv.NewReader(f) 165 | rawData, err := reader.ReadAll() 166 | if err != nil { 167 | dto.SendResponse(w, r, http.StatusInternalServerError, "Error in opening file 2"+err.Error(), nil) 168 | return 169 | } 170 | var dataWithoutID [][]string 171 | var machineID int 172 | // fmt.Println(dataWithoutID, machineID) 173 | for index, row := range rawData { 174 | var rowRawData []string 175 | if index == 0 { 176 | for rowIndex, rowValues := range row { 177 | if rowValues != "machineId" { 178 | rowRawData = append(rowRawData, rowValues) 179 | } else { 180 | machineID = rowIndex 181 | } 182 | } 183 | dataWithoutID = append(dataWithoutID, rowRawData) 184 | continue 185 | } 186 | for rowIndex, rowValues := range row { 187 | if rowIndex != machineID { 188 | rowRawData = append(rowRawData, rowValues) 189 | } 190 | } 191 | dataWithoutID = append(dataWithoutID, rowRawData) 192 | } 193 | rawData = dataWithoutID 194 | // fmt.Println("Data Without Machine Id", dataWithoutID) 195 | 196 | data := dataframe.LoadRecords(dataWithoutID) 197 | // fmt.Println("Printing Data Before Cleaning", data.String()) 198 | // fmt.Println(data) 199 | 200 | // check := []int{1, 1, 1, 1, 1, 1} 201 | 202 | labelExtraction := []string{} 203 | 204 | labels := data.Col("yLabels").Records() 205 | 206 | var index int 207 | dataRecords := data.Records() 208 | for i, record := range dataRecords[0] { 209 | // fmt.Println("Index ", i, "Value", record) 210 | if record == "yLabels" { 211 | index = i 212 | } 213 | } 214 | // fmt.Println(fileSetStat) 215 | stats := fileStats{ 216 | LabelIndex: index, 217 | } 218 | statsBytes, err := json.MarshalIndent(stats, "", "") 219 | if err != nil { 220 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error": err.Error()}) 221 | return 222 | } 223 | err = ioutil.WriteFile(fileSetStat, statsBytes, 0644) 224 | if err != nil { 225 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error": err.Error()}) 226 | return 227 | } 228 | // fmt.Println("Index Is", index) 229 | 230 | // fmt.Println("Labels From Dataset", labels) 231 | //Loop for extracting Labels 232 | for _, label := range labels { 233 | result := helper.StringContains(labelExtraction, label) 234 | if result == false { 235 | labelExtraction = append(labelExtraction, label) 236 | } 237 | // fmt.Println("String Contains", result) 238 | } 239 | // fmt.Println("Extracted Labels", labelExtraction) 240 | // fmt.Println(rawData) 241 | sort.Strings(labelExtraction) 242 | 243 | var newRecords [][]string 244 | // fmt.Println(labelExtraction) 245 | length := len(rawData[0]) 246 | for i, record := range rawData { 247 | 248 | // fmt.Println("Length", length) 249 | if i == 0 { 250 | for _, label := range labelExtraction { 251 | record = append(record, label) 252 | } 253 | newRecords = append(newRecords, record) 254 | 255 | continue 256 | } 257 | for _, label := range labelExtraction { 258 | _ = label 259 | // fmt.Println(label) 260 | record = append(record, "0.0") 261 | 262 | } 263 | 264 | for index, label := range labelExtraction { 265 | if record[length-1] == label { 266 | record[index+length] = "1.0" 267 | } 268 | 269 | // fmt.Println("Record", record[len(record)-(length)]) 270 | } 271 | newRecords = append(newRecords, record) 272 | 273 | } 274 | 275 | // fmt.Println(newRecords) 276 | var finalRecords [][]string 277 | for _, record := range newRecords { 278 | // fmt.Println(record[:length-1]) 279 | // fmt.Println(record[length:]) 280 | 281 | modified := append(record[:length-1], record[length:]...) 282 | finalRecords = append(finalRecords, modified) 283 | // finalRecords = append(finalRecords, record[length:]) 284 | } 285 | 286 | // fmt.Println("After Cleaning Dataset", finalRecords) 287 | writer, _ := os.Create("./datasets/dataset.csv") 288 | wr := csv.NewWriter(writer) 289 | wr.WriteAll(finalRecords) 290 | wr.Flush() 291 | dto.SendResponse(w, r, http.StatusOK, "Success", map[string]interface{}{"raw csv data": finalRecords, "Index ": index, "Length": len(newRecords)}) 292 | } 293 | 294 | //NormalizeData function for data normalization from 0-1 295 | func NormalizeData(w http.ResponseWriter, r *http.Request) { 296 | f, err := os.Open("./datasets/dataset.csv") 297 | 298 | if err != nil { 299 | 300 | dto.SendResponse(w, r, http.StatusBadRequest, err.Error(), nil) 301 | return 302 | } 303 | 304 | csvReader := csv.NewReader(f) 305 | rawCSVdata, err := csvReader.ReadAll() 306 | if err != nil { 307 | dto.SendResponse(w, r, http.StatusBadRequest, err.Error(), nil) 308 | return 309 | } 310 | dataFrame := dataframe.LoadRecords(rawCSVdata) 311 | normalize := [][]string{} 312 | // fmt.Println("Data Name ", dataFrame.Col(string(rawCSVdata[0][0]))) 313 | for i, record := range rawCSVdata { 314 | if i == 0 { 315 | normalize = append(normalize, record) 316 | continue 317 | } 318 | noVal := []string{} 319 | for x, values := range record { 320 | // fmt.Println("Type ", reflect.TypeOf(values)) 321 | 322 | val, err := strconv.ParseFloat(values, 64) 323 | if err != nil { 324 | dto.SendResponse(w, r, http.StatusBadRequest, err.Error(), nil) 325 | return 326 | } 327 | // fmt.Println("x", x, "Values", values) 328 | // fmt.Println("val", val) 329 | // fmt.Println("Min", dataFrame.Col(rawCSVdata[0][x]).Min()) 330 | // fmt.Println("Max", dataFrame.Col(rawCSVdata[0][x]).Max()) 331 | nVal := (val - dataFrame.Col(rawCSVdata[0][x]).Min()) / (dataFrame.Col(rawCSVdata[0][x]).Max() - dataFrame.Col(rawCSVdata[0][x]).Min()) 332 | // fmt.Println("Number Value", nVal) 333 | sVal := strconv.FormatFloat(nVal, 'f', 6, 64) 334 | noVal = append(noVal, sVal) 335 | // fmt.Println(nVal) 336 | } 337 | normalize = append(normalize, noVal) 338 | } 339 | 340 | headers := rawCSVdata[0] 341 | wr, err := os.Create("./datasets/normalized.csv") 342 | if err != nil { 343 | dto.SendResponse(w, r, http.StatusBadRequest, err.Error(), nil) 344 | return 345 | } 346 | csvWriter := csv.NewWriter(wr) 347 | csvWriter.WriteAll(normalize) 348 | dto.SendResponse(w, r, http.StatusOK, "Everthings Fine", map[string]interface{}{"data": rawCSVdata, "summary": dataFrame.Describe().Records(), 349 | "Headers": headers, "Normalixe": normalize, "Original": rawCSVdata}) 350 | } 351 | 352 | //SplitAndShuffle to split and shuffle data 353 | func SplitAndShuffle(w http.ResponseWriter, r *http.Request) { 354 | percentage := r.FormValue("trainPercentage") 355 | percent, err := strconv.ParseFloat(percentage, 64) 356 | if err != nil { 357 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 358 | return 359 | } 360 | filePath := "./datasets/normalized.csv" 361 | trainFilePath := "./datasets/train_normalized.csv" 362 | testFilePath := "./datasets/test_normalized.csv" 363 | 364 | percent = percent / 100 365 | fmt.Println("Percent", percent) 366 | normalizedFile, err := os.Open(filePath) 367 | if err != nil { 368 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 369 | return 370 | } 371 | 372 | normalizedFileReader := csv.NewReader(normalizedFile) 373 | normalizedFileData, err := normalizedFileReader.ReadAll() 374 | if err != nil { 375 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 376 | return 377 | } 378 | 379 | headers := normalizedFileData[0] 380 | fmt.Println("Headers Of Normalized Data", headers) 381 | 382 | splittingLength := int(math.Floor(float64(len(normalizedFileData)) * percent)) 383 | fmt.Println("Splitting Length", splittingLength) 384 | 385 | var trainRawData [][]string 386 | var testRawData [][]string 387 | trainRawData = append(trainRawData, headers) 388 | testRawData = append(testRawData, headers) 389 | for i := 1; i < splittingLength; i++ { 390 | trainRawData = append(trainRawData, normalizedFileData[i]) 391 | } 392 | for i := splittingLength; i < len(normalizedFileData); i++ { 393 | testRawData = append(testRawData, normalizedFileData[i]) 394 | } 395 | // fmt.Println("Train Raw Data", trainRawData) 396 | // fmt.Println("Test Raw Data", testRawData) 397 | 398 | err = helper.WriteCSVFile(trainFilePath, trainRawData) 399 | if err != nil { 400 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 401 | return 402 | } 403 | 404 | err = helper.WriteCSVFile(testFilePath, testRawData) 405 | if err != nil { 406 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 407 | return 408 | } 409 | // trainPercent := percent / 100 410 | // testPercent := ((100 - percent) / 100) / 2 411 | // var validatePercent int 412 | // var even bool 413 | // fmt.Println("Train Percent", trainPercent) 414 | // fmt.Println("Test Percent", testPercent) 415 | 416 | // f, _ := os.Open("./datasets/normalized.csv") 417 | // reader := csv.NewReader(f) 418 | // rawCSV, _ := reader.ReadAll() 419 | // headers := rawCSV[0] 420 | // // length := len(rawCSV) / 2 421 | // fmt.Println("Train Data Length With Mat", math.Ceil(float64(len(rawCSV))*testPercent)) 422 | // fmt.Println("Train Data Length", float64(len(rawCSV))*testPercent) 423 | // // fmt.Println("Length", length) 424 | // fmt.Println("Headers", headers) 425 | // fmt.Println(len(rawCSV)) 426 | // if int(float64(len(rawCSV))*testPercent)%2 == 0 { 427 | // fmt.Println("Yes its even") 428 | // even = true 429 | // } else { 430 | // fmt.Println("No ") 431 | // even = false 432 | // } 433 | 434 | // csvPath := "./datasets/train_normalized.csv" 435 | // fmt.Println(csvPath) 436 | // if even == true { 437 | // // for i := 0; i < length; i++ { 438 | // // fmt.Println(csvPath) 439 | // // } 440 | // } 441 | 442 | // fmt.Println(testPercent, even, validatePercent, trainPercent) 443 | dto.SendResponse(w, r, http.StatusOK, "Successfully Splitted Data", map[string]interface{}{}) 444 | } 445 | 446 | //Train funciton for training Neural Network 447 | func Train(w http.ResponseWriter, r *http.Request) { 448 | rateString := r.URL.Query().Get("rate") 449 | epochsString := r.URL.Query().Get("epochs") 450 | hiddenString := r.URL.Query().Get("hidden") 451 | 452 | rate, _ := strconv.ParseFloat(rateString, 64) 453 | epochs, _ := strconv.ParseFloat(epochsString, 64) 454 | hidden, _ := strconv.ParseFloat(hiddenString, 64) 455 | 456 | // if rate == 0 || epochs == 0 || hidden == 0 { 457 | // dto.SendResponse(w, r, http.StatusBadGateway, "Rate,Epochs & hidden Cannot be Empty", nil) 458 | // return 459 | // } 460 | if rate == 0 { 461 | rate = 0.2 462 | } 463 | if epochs == 0 { 464 | epochs = 10000 465 | } 466 | if hidden == 0 { 467 | hidden = 5 468 | } 469 | // fmt.Println("Rate is :\t", rate) 470 | // fmt.Println("Type of Rate is :\t", reflect.TypeOf(rate)) 471 | 472 | // fmt.Println("Epochs is :\t", epochs) 473 | // fmt.Println("hidden", hidden) 474 | 475 | // f, err := os.Open("./datasets/normalized.csv") 476 | labelIndexStruct := fileStats{} 477 | labelIndexFile, err := os.Open("./datasets/testing/dataStats.json") 478 | if err != nil { 479 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 480 | return 481 | } 482 | labelIndexBytes, err := ioutil.ReadAll(labelIndexFile) 483 | if err != nil { 484 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 485 | return 486 | } 487 | err = json.Unmarshal(labelIndexBytes, &labelIndexStruct) 488 | fmt.Println("Label Structure", labelIndexStruct) 489 | if err != nil { 490 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 491 | return 492 | } 493 | 494 | // f, err := os.Open("./datasets/iris_train.csv") 495 | if err != nil { 496 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 497 | return 498 | } 499 | 500 | //normalized train file for training 501 | normalizedFile, err := os.Open("./datasets/train_normalized.csv") 502 | if err != nil { 503 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 504 | return 505 | } 506 | fileReader := csv.NewReader(normalizedFile) 507 | rawNormalizedData, err := fileReader.ReadAll() 508 | if err != nil { 509 | dto.SendResponse(w, r, http.StatusBadRequest, "Contact Support", map[string]interface{}{"Error Message": err.Error()}) 510 | return 511 | } 512 | 513 | _ = rawNormalizedData 514 | // reader := csv.NewReader(f) 515 | // rawCSVdata, err := reader.ReadAll() 516 | featuresLength := len(rawNormalizedData[0]) - labelIndexStruct.LabelIndex 517 | // fmt.Println("Features Length", featuresLength, "Labels Length", labelIndexStruct.LabelIndex) 518 | inputsData := make([]float64, featuresLength*len(rawNormalizedData)) 519 | labelsData := make([]float64, labelIndexStruct.LabelIndex*len(rawNormalizedData)) 520 | fmt.Println("Features Data Length", len(inputsData), "Labels Data Length", len(labelsData)) 521 | 522 | // inputsData := make([]float64, 4*len(rawCSVdata)) 523 | // labelsData := make([]float64, 3*len(rawCSVdata)) 524 | 525 | var inputIdx int 526 | var labelIdx int 527 | 528 | for idx, record := range rawNormalizedData { 529 | if idx == 0 { 530 | continue 531 | } 532 | 533 | for i, val := range record { 534 | parsedVal, err := strconv.ParseFloat(val, 64) 535 | if err != nil { 536 | // fmt.Println("Error in Parsing Float Value", err.Error()) 537 | return 538 | } 539 | 540 | //if i >= labelIndex. This Condition Is Should be Implemented 541 | if i >= labelIndexStruct.LabelIndex { 542 | labelsData[labelIdx] = parsedVal 543 | labelIdx++ 544 | } else { 545 | inputsData[inputIdx] = parsedVal 546 | inputIdx++ 547 | } 548 | } 549 | } 550 | 551 | // inputs := mat.NewDense(len(rawCSVdata), 4, inputsData) 552 | // labels := mat.NewDense(len(rawCSVdata), 3, labelsData) 553 | 554 | inputs := mat.NewDense(len(rawNormalizedData), featuresLength, inputsData) 555 | labels := mat.NewDense(len(rawNormalizedData), labelIndexStruct.LabelIndex, labelsData) 556 | 557 | // config := models.NeuralNetConfig{ 558 | // InputNeurons: 4, 559 | // OutputNeurons: 3, 560 | // HiddenNeurons: 5, 561 | // NumEpochs: int(epochs), 562 | // LearningRate: rate, 563 | // } 564 | config := models.NeuralNetConfig{ 565 | InputNeurons: featuresLength, 566 | OutputNeurons: labelIndexStruct.LabelIndex, 567 | HiddenNeurons: 5, 568 | NumEpochs: int(epochs), 569 | LearningRate: rate, 570 | } 571 | 572 | network := utils.NewNetwork(config) 573 | // fmt.Println("Printing Network Before Training", network) 574 | 575 | trainOutput, err := utils.Train(inputs, labels, network) 576 | if err != nil { 577 | log.Fatal(err) 578 | } 579 | // fmt.Println("Printing Network After Training", network) 580 | 581 | // fmt.Println(trainOutput) 582 | // fmt.Println(network.BHidden.RawMatrix()) 583 | // fmt.Print("Printing B hidden \t") 584 | // fmt.Println(network.BHidden.Dims()) 585 | rowsBHidden, colsBHidden := network.BHidden.Dims() 586 | 587 | // fmt.Print("Printing W hidden \t") 588 | // fmt.Println(network.WHidden.Dims()) 589 | rowsWHidden, colsWHidden := network.WHidden.Dims() 590 | 591 | // fmt.Print("Printing W out \t") 592 | // fmt.Println(network.WOut.Dims()) 593 | rowsWOut, colsWOut := network.WOut.Dims() 594 | 595 | // fmt.Print("Printing B out \t") 596 | // fmt.Println(network.BOut.Dims()) 597 | rowsBOut, colsBOut := network.BOut.Dims() 598 | 599 | configuration := models.ModelConfig{} 600 | 601 | for i := 0; i < rowsBHidden; i++ { 602 | configuration.BHidden = append(configuration.BHidden, network.BHidden.RawRowView(i)) 603 | } 604 | for i := 0; i < rowsWHidden; i++ { 605 | configuration.WHidden = append(configuration.WHidden, network.WHidden.RawRowView(i)) 606 | } 607 | for i := 0; i < rowsWOut; i++ { 608 | configuration.WOut = append(configuration.WOut, network.WOut.RawRowView(i)) 609 | } 610 | for i := 0; i < rowsBOut; i++ { 611 | configuration.BOut = append(configuration.BOut, network.BOut.RawRowView(i)) 612 | } 613 | 614 | configuration.BHiddenDims = append(configuration.BHiddenDims, rowsBHidden) 615 | configuration.BHiddenDims = append(configuration.BHiddenDims, colsBHidden) 616 | configuration.WHiddenDims = append(configuration.WHiddenDims, rowsWHidden) 617 | configuration.WHiddenDims = append(configuration.WHiddenDims, colsWHidden) 618 | configuration.WOutDims = append(configuration.WOutDims, rowsWOut) 619 | configuration.WOutDims = append(configuration.WOutDims, colsWOut) 620 | configuration.BOutDims = append(configuration.BOutDims, rowsBOut) 621 | configuration.BOutDims = append(configuration.BOutDims, colsBOut) 622 | configuration.InputNeurons = network.Config.InputNeurons 623 | configuration.HiddenNeurons = network.Config.HiddenNeurons 624 | configuration.LearningRate = network.Config.LearningRate 625 | configuration.NumEpochs = network.Config.NumEpochs 626 | configuration.OutputNeurons = network.Config.OutputNeurons 627 | 628 | // fmt.Println("Configuration Values ", configuration) 629 | 630 | var truePosNeg int 631 | numPreds, _ := trainOutput.Dims() 632 | for i := 0; i < numPreds; i++ { 633 | // fmt.Println("Prediction Index ", i, "\t", trainOutput.RowView(i)) 634 | // Get the label. 635 | labelRow := mat.Row(nil, i, labels) 636 | var species int 637 | for idx, label := range labelRow { 638 | if label == 1.0 { 639 | species = idx 640 | break 641 | } 642 | } 643 | 644 | // Accumulate the true positive/negative count. 645 | if trainOutput.At(i, species) == floats.Max(mat.Row(nil, i, trainOutput)) { 646 | truePosNeg++ 647 | } 648 | } 649 | 650 | // Calculate the accuracy (subset accuracy). 651 | accuracy := float64(truePosNeg) / float64(numPreds) 652 | 653 | // Output the Accuracy value to standard out. 654 | fmt.Printf("\nAccuracy of Testing = %0.2f %%\n", accuracy*100) 655 | stats := models.ModelStats{} 656 | stats.TrainAccuracy = accuracy * 100 657 | 658 | file, _ := json.MarshalIndent(configuration, "", " ") 659 | 660 | _ = ioutil.WriteFile("./models/test.json", file, 0644) 661 | 662 | file, _ = json.MarshalIndent(stats, "", " ") 663 | 664 | _ = ioutil.WriteFile("./models/stats.json", file, 0644) 665 | 666 | dto.SendResponse(w, r, http.StatusOK, "Training Result ", map[string]interface{}{"output": configuration, "Accuracy": accuracy * 100}) 667 | 668 | } 669 | 670 | //Predict Function for prediction 671 | func Predict(w http.ResponseWriter, r *http.Request) { 672 | w.Header().Set("Content-Type", "application/x-www-form-urlencoded") 673 | stringf1 := r.FormValue("f1") 674 | stringf2 := r.FormValue("f2") 675 | stringf3 := r.FormValue("f3") 676 | stringf4 := r.FormValue("f4") 677 | 678 | f1, _ := strconv.ParseFloat(stringf1, 64) 679 | f2, _ := strconv.ParseFloat(stringf2, 64) 680 | f3, _ := strconv.ParseFloat(stringf3, 64) 681 | f4, _ := strconv.ParseFloat(stringf4, 64) 682 | 683 | input := []float64{f1, f2, f3, f4} 684 | configuration := models.ModelConfig{} 685 | file, _ := ioutil.ReadFile("./models/test.json") 686 | _ = json.Unmarshal([]byte(file), &configuration) 687 | 688 | // fmt.Println("Printing Configurations", configuration) 689 | config := models.NeuralNetConfig{ 690 | InputNeurons: configuration.InputNeurons, 691 | OutputNeurons: configuration.OutputNeurons, 692 | HiddenNeurons: configuration.HiddenNeurons, 693 | NumEpochs: configuration.NumEpochs, 694 | LearningRate: configuration.LearningRate, 695 | } 696 | 697 | network := utils.NewNetwork(config) 698 | 699 | network.BHidden = mat.NewDense(configuration.BHiddenDims[0], configuration.BHiddenDims[1], nil) 700 | for i := 0; i < configuration.BHiddenDims[0]; i++ { 701 | fmt.Println(i) 702 | network.BHidden.SetRow(i, configuration.BHidden[i]) 703 | } 704 | 705 | network.WHidden = mat.NewDense(configuration.WHiddenDims[0], configuration.WHiddenDims[1], nil) 706 | for i := 0; i < configuration.WHiddenDims[0]; i++ { 707 | network.WHidden.SetRow(i, configuration.WHidden[i]) 708 | } 709 | 710 | network.BOut = mat.NewDense(configuration.BOutDims[0], configuration.BOutDims[1], nil) 711 | for i := 0; i < configuration.BOutDims[0]; i++ { 712 | network.BOut.SetRow(i, configuration.BOut[i]) 713 | } 714 | 715 | network.WOut = mat.NewDense(configuration.WOutDims[0], configuration.WOutDims[1], nil) 716 | for i := 0; i < configuration.WOutDims[0]; i++ { 717 | network.WOut.SetRow(i, configuration.WOut[i]) 718 | } 719 | 720 | // fmt.Println("Printing Configurations", configuration) 721 | features := mat.NewDense(1, 4, input) 722 | predictions, err := utils.Predict(features, network) 723 | 724 | if err != nil { 725 | fmt.Println("Error in something", err.Error()) 726 | dto.SendResponse(w, r, http.StatusInternalServerError, "Error in Prediction", map[string]interface{}{"Error": err.Error()}) 727 | } 728 | 729 | fmt.Println(predictions) 730 | fmt.Println(floats.MaxIdx(mat.Row(nil, 0, predictions))) 731 | 732 | dto.SendResponse(w, r, http.StatusOK, "Success ", map[string]interface{}{"Class Name": models.ClassNames[floats.MaxIdx(mat.Row(nil, 0, predictions))], "Prediction": predictions.RawMatrix(), "Max Index": floats.MaxIdx(mat.Row(nil, 0, predictions)) + 1}) 733 | 734 | } 735 | 736 | type proResponse struct { 737 | Code int `json:"code"` 738 | Msg string `json:"message"` 739 | Key rsa.PublicKey `json:"key"` 740 | } 741 | 742 | //GettingPublicKey server 743 | func GettingPublicKey(w http.ResponseWriter, r *http.Request) { 744 | 745 | publicKey := constants.PublicKey 746 | fmt.Println("showing key", publicKey) 747 | objResp := proResponse{ 748 | Msg: "Success", 749 | Code: 200, 750 | Key: publicKey, 751 | } 752 | userJSON, _ := json.Marshal(objResp) 753 | w.Header().Set("Content-Type", "application/json") 754 | w.WriteHeader(http.StatusOK) 755 | w.Write(userJSON) 756 | return 757 | } 758 | -------------------------------------------------------------------------------- /datasets/dataset.csv: -------------------------------------------------------------------------------- 1 | computerPower,downSpeed,Label1,Label2 2 | 30.240000,4.240000,1.0,0.0 3 | 33.240000,44.240000,1.0,0.0 4 | 33.240000,44.240000,0.0,1.0 5 | -------------------------------------------------------------------------------- /datasets/iris.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/libonomy/node-extract/d22bfdd87bf5084116f51abbd765dfeeccf513cd/datasets/iris.csv -------------------------------------------------------------------------------- /datasets/iris_train.csv: -------------------------------------------------------------------------------- 1 | sepal_length,sepal_width,petal_length,petal_width,Iris-setosa,Iris-versicolor,Iris-virginica 2 | 0.583333,0.333333,0.779661,0.875000,0.000000,0.000000,1.000000 3 | 0.583333,0.500000,0.593220,0.583333,0.000000,1.000000,0.000000 4 | 0.194444,0.625000,0.101695,0.208333,1.000000,0.000000,0.000000 5 | 0.666667,0.458333,0.627119,0.583333,0.000000,1.000000,0.000000 6 | 0.194444,0.583333,0.084746,0.041667,1.000000,0.000000,0.000000 7 | 0.555556,0.125000,0.576271,0.500000,0.000000,1.000000,0.000000 8 | 0.333333,0.250000,0.576271,0.458333,0.000000,1.000000,0.000000 9 | 0.638889,0.416667,0.576271,0.541667,0.000000,1.000000,0.000000 10 | 0.222222,0.750000,0.084746,0.083333,1.000000,0.000000,0.000000 11 | 0.305556,0.583333,0.118644,0.041667,1.000000,0.000000,0.000000 12 | 0.222222,0.208333,0.338983,0.416667,0.000000,1.000000,0.000000 13 | 0.416667,0.291667,0.694915,0.750000,0.000000,0.000000,1.000000 14 | 0.194444,0.583333,0.101695,0.125000,1.000000,0.000000,0.000000 15 | 0.583333,0.458333,0.762712,0.708333,0.000000,0.000000,1.000000 16 | 0.666667,0.541667,0.796610,1.000000,0.000000,0.000000,1.000000 17 | 0.444444,0.500000,0.644068,0.708333,0.000000,1.000000,0.000000 18 | 0.694444,0.500000,0.830508,0.916667,0.000000,0.000000,1.000000 19 | 0.722222,0.458333,0.694915,0.916667,0.000000,0.000000,1.000000 20 | 0.166667,0.458333,0.084746,0.000000,1.000000,0.000000,0.000000 21 | 0.027778,0.416667,0.050847,0.041667,1.000000,0.000000,0.000000 22 | 0.416667,0.291667,0.525424,0.375000,0.000000,1.000000,0.000000 23 | 0.666667,0.208333,0.813559,0.708333,0.000000,0.000000,1.000000 24 | 0.444444,0.416667,0.542373,0.583333,0.000000,1.000000,0.000000 25 | 0.250000,0.583333,0.067797,0.041667,1.000000,0.000000,0.000000 26 | 0.777778,0.416667,0.830508,0.833333,0.000000,0.000000,1.000000 27 | 0.388889,0.333333,0.593220,0.500000,0.000000,1.000000,0.000000 28 | 0.194444,0.625000,0.050847,0.083333,1.000000,0.000000,0.000000 29 | 0.944444,0.416667,0.864407,0.916667,0.000000,0.000000,1.000000 30 | 0.944444,0.250000,1.000000,0.916667,0.000000,0.000000,1.000000 31 | 0.555556,0.208333,0.677966,0.750000,0.000000,0.000000,1.000000 32 | 0.222222,0.750000,0.152542,0.125000,1.000000,0.000000,0.000000 33 | 0.388889,0.333333,0.525424,0.500000,0.000000,1.000000,0.000000 34 | 0.500000,0.375000,0.627119,0.541667,0.000000,1.000000,0.000000 35 | 0.194444,0.125000,0.389831,0.375000,0.000000,1.000000,0.000000 36 | 0.638889,0.375000,0.610169,0.500000,0.000000,1.000000,0.000000 37 | 0.666667,0.541667,0.796610,0.833333,0.000000,0.000000,1.000000 38 | 0.361111,0.416667,0.525424,0.500000,0.000000,1.000000,0.000000 39 | 0.555556,0.583333,0.779661,0.958333,0.000000,0.000000,1.000000 40 | 0.666667,0.458333,0.576271,0.541667,0.000000,1.000000,0.000000 41 | 0.527778,0.583333,0.745763,0.916667,0.000000,0.000000,1.000000 42 | 0.361111,0.333333,0.661017,0.791667,0.000000,0.000000,1.000000 43 | 0.500000,0.333333,0.627119,0.458333,0.000000,1.000000,0.000000 44 | 0.083333,0.666667,0.000000,0.041667,1.000000,0.000000,0.000000 45 | 0.222222,0.708333,0.084746,0.125000,1.000000,0.000000,0.000000 46 | 0.166667,0.416667,0.067797,0.041667,1.000000,0.000000,0.000000 47 | 0.333333,0.125000,0.508475,0.500000,0.000000,1.000000,0.000000 48 | 0.472222,0.083333,0.508475,0.375000,0.000000,1.000000,0.000000 49 | 1.000000,0.750000,0.915254,0.791667,0.000000,0.000000,1.000000 50 | 0.388889,0.750000,0.118644,0.083333,1.000000,0.000000,0.000000 51 | 0.611111,0.333333,0.610169,0.583333,0.000000,1.000000,0.000000 52 | 0.583333,0.500000,0.728814,0.916667,0.000000,0.000000,1.000000 53 | 0.416667,0.333333,0.694915,0.958333,0.000000,0.000000,1.000000 54 | 0.250000,0.291667,0.491525,0.541667,0.000000,1.000000,0.000000 55 | 0.750000,0.500000,0.627119,0.541667,0.000000,1.000000,0.000000 56 | 0.250000,0.875000,0.084746,0.000000,1.000000,0.000000,0.000000 57 | 0.583333,0.333333,0.779661,0.833333,0.000000,0.000000,1.000000 58 | 0.194444,0.416667,0.101695,0.041667,1.000000,0.000000,0.000000 59 | 0.694444,0.416667,0.762712,0.833333,0.000000,0.000000,1.000000 60 | 0.194444,0.666667,0.067797,0.041667,1.000000,0.000000,0.000000 61 | 0.027778,0.375000,0.067797,0.041667,1.000000,0.000000,0.000000 62 | 0.416667,0.833333,0.033898,0.041667,1.000000,0.000000,0.000000 63 | 0.472222,0.083333,0.677966,0.583333,0.000000,0.000000,1.000000 64 | 0.555556,0.541667,0.627119,0.625000,0.000000,1.000000,0.000000 65 | 0.611111,0.416667,0.711864,0.791667,0.000000,0.000000,1.000000 66 | 0.472222,0.375000,0.593220,0.583333,0.000000,1.000000,0.000000 67 | 0.194444,0.000000,0.423729,0.375000,0.000000,1.000000,0.000000 68 | 0.555556,0.541667,0.847458,1.000000,0.000000,0.000000,1.000000 69 | 0.833333,0.375000,0.898305,0.708333,0.000000,0.000000,1.000000 70 | 0.388889,0.250000,0.423729,0.375000,0.000000,1.000000,0.000000 71 | 0.611111,0.500000,0.694915,0.791667,0.000000,0.000000,1.000000 72 | 0.527778,0.375000,0.559322,0.500000,0.000000,1.000000,0.000000 73 | 0.611111,0.416667,0.762712,0.708333,0.000000,0.000000,1.000000 74 | 0.333333,0.916667,0.067797,0.041667,1.000000,0.000000,0.000000 75 | 0.083333,0.500000,0.067797,0.041667,1.000000,0.000000,0.000000 76 | 0.416667,0.291667,0.491525,0.458333,0.000000,1.000000,0.000000 77 | 0.500000,0.250000,0.779661,0.541667,0.000000,0.000000,1.000000 78 | 0.527778,0.083333,0.593220,0.583333,0.000000,1.000000,0.000000 79 | 0.472222,0.291667,0.694915,0.625000,0.000000,1.000000,0.000000 80 | 0.361111,0.208333,0.491525,0.416667,0.000000,1.000000,0.000000 81 | 0.555556,0.375000,0.779661,0.708333,0.000000,0.000000,1.000000 82 | 0.805556,0.416667,0.813559,0.625000,0.000000,0.000000,1.000000 83 | 0.944444,0.750000,0.966102,0.875000,0.000000,0.000000,1.000000 84 | 0.000000,0.416667,0.016949,0.000000,1.000000,0.000000,0.000000 85 | 0.166667,0.458333,0.084746,0.000000,1.000000,0.000000,0.000000 86 | 0.805556,0.500000,0.847458,0.708333,0.000000,0.000000,1.000000 87 | 0.083333,0.583333,0.067797,0.083333,1.000000,0.000000,0.000000 88 | 0.194444,0.500000,0.033898,0.041667,1.000000,0.000000,0.000000 89 | 0.138889,0.458333,0.101695,0.041667,1.000000,0.000000,0.000000 90 | 0.222222,0.541667,0.118644,0.166667,1.000000,0.000000,0.000000 91 | 0.555556,0.333333,0.694915,0.583333,0.000000,0.000000,1.000000 92 | 0.083333,0.458333,0.084746,0.041667,1.000000,0.000000,0.000000 93 | 0.194444,0.541667,0.067797,0.041667,1.000000,0.000000,0.000000 94 | 0.111111,0.500000,0.101695,0.041667,1.000000,0.000000,0.000000 95 | 0.916667,0.416667,0.949153,0.833333,0.000000,0.000000,1.000000 96 | 0.666667,0.416667,0.711864,0.916667,0.000000,0.000000,1.000000 97 | 0.250000,0.625000,0.084746,0.041667,1.000000,0.000000,0.000000 98 | 0.388889,0.208333,0.677966,0.791667,0.000000,0.000000,1.000000 99 | 0.111111,0.500000,0.050847,0.041667,1.000000,0.000000,0.000000 100 | 0.722222,0.458333,0.745763,0.833333,0.000000,0.000000,1.000000 101 | 0.500000,0.333333,0.508475,0.500000,0.000000,1.000000,0.000000 102 | 0.222222,0.750000,0.101695,0.041667,1.000000,0.000000,0.000000 103 | 0.333333,0.166667,0.474576,0.416667,0.000000,1.000000,0.000000 104 | 0.944444,0.333333,0.966102,0.791667,0.000000,0.000000,1.000000 105 | 0.805556,0.666667,0.864407,1.000000,0.000000,0.000000,1.000000 106 | 0.305556,0.416667,0.593220,0.583333,0.000000,1.000000,0.000000 107 | 0.722222,0.500000,0.796610,0.916667,0.000000,0.000000,1.000000 108 | 0.027778,0.500000,0.050847,0.041667,1.000000,0.000000,0.000000 109 | 0.166667,0.166667,0.389831,0.375000,0.000000,1.000000,0.000000 110 | 0.222222,0.625000,0.067797,0.041667,1.000000,0.000000,0.000000 111 | 0.666667,0.458333,0.779661,0.958333,0.000000,0.000000,1.000000 112 | 0.583333,0.291667,0.728814,0.750000,0.000000,0.000000,1.000000 113 | 0.222222,0.625000,0.067797,0.083333,1.000000,0.000000,0.000000 114 | 0.472222,0.583333,0.593220,0.625000,0.000000,1.000000,0.000000 115 | 0.138889,0.583333,0.152542,0.041667,1.000000,0.000000,0.000000 116 | 0.555556,0.291667,0.661017,0.708333,0.000000,0.000000,1.000000 117 | 0.305556,0.583333,0.084746,0.125000,1.000000,0.000000,0.000000 118 | 0.333333,0.166667,0.457627,0.375000,0.000000,1.000000,0.000000 119 | 0.527778,0.333333,0.644068,0.708333,0.000000,0.000000,1.000000 120 | 0.138889,0.583333,0.101695,0.041667,1.000000,0.000000,0.000000 121 | 0.500000,0.416667,0.661017,0.708333,0.000000,0.000000,1.000000 122 | -------------------------------------------------------------------------------- /datasets/normalized.csv: -------------------------------------------------------------------------------- 1 | computerPower,downSpeed,Label1,Label2 2 | 0.000000,0.000000,1.000000,0.000000 3 | 1.000000,1.000000,1.000000,0.000000 4 | 1.000000,1.000000,0.000000,1.000000 5 | -------------------------------------------------------------------------------- /datasets/test_normalized.csv: -------------------------------------------------------------------------------- 1 | computerPower,downSpeed,Label1,Label2 2 | 1.000000,1.000000,0.000000,1.000000 3 | -------------------------------------------------------------------------------- /datasets/testing/dataStats.json: -------------------------------------------------------------------------------- 1 | { 2 | "labelIndex": 2 3 | } -------------------------------------------------------------------------------- /datasets/testing/dummyDataset.csv: -------------------------------------------------------------------------------- 1 | computerPower,downSpeed,machineId,yLabels 2 | 30.240000,4.240000,1,Label1 3 | 33.240000,44.240000,2,Label1 4 | 33.240000,44.240000,3,Label2 5 | 13223.142378,1.560000,3bb1b72aec1a44e1802ed42fd8b0e287,Useless 6 | 332276.536437,4.470000,09d5d877da7c4c28a56b59d7e1efb0d1,Useless 7 | -------------------------------------------------------------------------------- /datasets/testing/dummyDataset.json: -------------------------------------------------------------------------------- 1 | [ 2 | { 3 | "machineId": "1", 4 | "computerPower": 30.24, 5 | "downSpeed": 4.24, 6 | "yLabels": "Label1" 7 | }, 8 | { 9 | "machineId": "2", 10 | "computerPower": 33.24, 11 | "downSpeed": 44.24, 12 | "yLabels": "Label1" 13 | }, 14 | { 15 | "machineId": "3", 16 | "computerPower": 33.24, 17 | "downSpeed": 44.24, 18 | "yLabels": "Label2" 19 | }, 20 | { 21 | "machineId": "3bb1b72aec1a44e1802ed42fd8b0e287", 22 | "computerPower": 13223.142377722432, 23 | "downSpeed": 1.56, 24 | "yLabels": "Useless" 25 | }, 26 | { 27 | "machineId": "09d5d877da7c4c28a56b59d7e1efb0d1", 28 | "computerPower": 332276.5364368132, 29 | "downSpeed": 4.47, 30 | "yLabels": "Useless" 31 | } 32 | ] -------------------------------------------------------------------------------- /datasets/train_normalized.csv: -------------------------------------------------------------------------------- 1 | computerPower,downSpeed,Label1,Label2 2 | 0.000000,0.000000,1.000000,0.000000 3 | 1.000000,1.000000,1.000000,0.000000 4 | 0.000000,0.000000,1.000000,0.000000 5 | 1.000000,1.000000,1.000000,0.000000 6 | 0.000000,0.000000,1.000000,0.000000 7 | 1.000000,1.000000,1.000000,0.000000 8 | 0.000000,0.000000,1.000000,0.000000 9 | 1.000000,1.000000,1.000000,0.000000 10 | 0.000000,0.000000,1.000000,0.000000 11 | 1.000000,1.000000,1.000000,0.000000 12 | 0.000000,0.000000,1.000000,0.000000 13 | 1.000000,1.000000,1.000000,0.000000 14 | 0.000000,0.000000,1.000000,0.000000 15 | 1.000000,1.000000,1.000000,0.000000 16 | 0.000000,0.000000,1.000000,0.000000 17 | 1.000000,1.000000,1.000000,0.000000 18 | 0.000000,0.000000,1.000000,0.000000 19 | 1.000000,1.000000,1.000000,0.000000 20 | 0.000000,0.000000,1.000000,0.000000 21 | 1.000000,1.000000,1.000000,0.000000 22 | 0.000000,0.000000,1.000000,0.000000 23 | 1.000000,1.000000,1.000000,0.000000 24 | 0.000000,0.000000,1.000000,0.000000 25 | 1.000000,1.000000,1.000000,0.000000 26 | 0.000000,0.000000,1.000000,0.000000 27 | 1.000000,1.000000,1.000000,0.000000 28 | 0.000000,0.000000,1.000000,0.000000 29 | 1.000000,1.000000,1.000000,0.000000 30 | 0.000000,0.000000,1.000000,0.000000 31 | 1.000000,1.000000,1.000000,0.000000 32 | 0.000000,0.000000,1.000000,0.000000 33 | 1.000000,1.000000,1.000000,0.000000 34 | 0.000000,0.000000,1.000000,0.000000 35 | 1.000000,1.000000,1.000000,0.000000 36 | 0.000000,0.000000,1.000000,0.000000 37 | 1.000000,1.000000,1.000000,0.000000 38 | 0.000000,0.000000,1.000000,0.000000 39 | 1.000000,1.000000,1.000000,0.000000 40 | 0.000000,0.000000,1.000000,0.000000 41 | 1.000000,1.000000,0.000000,1.000000 42 | 0.000000,0.000000,0.000000,1.000000 43 | 1.000000,1.000000,0.000000,1.000000 44 | 0.000000,0.000000,0.000000,1.000000 45 | 1.000000,1.000000,0.000000,1.000000 46 | 0.000000,0.000000,0.000000,1.000000 47 | 1.000000,1.000000,1.000000,0.000000 48 | 0.000000,0.000000,1.000000,0.000000 49 | 1.000000,1.000000,1.000000,0.000000 50 | 51 | -------------------------------------------------------------------------------- /dto/dataTransfer.go: -------------------------------------------------------------------------------- 1 | package dto 2 | 3 | import ( 4 | "encoding/json" 5 | "net/http" 6 | ) 7 | 8 | type response struct { 9 | Msg string `json:"message"` 10 | Code int `json:"code"` 11 | Data interface{} `json:"data"` 12 | } 13 | 14 | //SendResponse function for sending response 15 | func SendResponse(w http.ResponseWriter, r *http.Request, code int, message string, data interface{}) { 16 | 17 | w.Header().Set("Content-Type", "application/json") 18 | w.WriteHeader(code) 19 | res := response{ 20 | Msg: message, 21 | Code: code, 22 | Data: data, 23 | } 24 | 25 | json.NewEncoder(w).Encode(res) 26 | 27 | } 28 | -------------------------------------------------------------------------------- /go.mod: -------------------------------------------------------------------------------- 1 | module github.com/libonomy/node-extract 2 | 3 | go 1.14 4 | 5 | require ( 6 | github.com/Workiva/go-datastructures v1.0.52 7 | github.com/gorilla/mux v1.8.0 8 | github.com/libonomy/libonomy-gota v0.0.0-20200608155116-2b8b0b965097 9 | gonum.org/v1/gonum v0.8.1 10 | ) 11 | -------------------------------------------------------------------------------- /go.sum: -------------------------------------------------------------------------------- 1 | github.com/Workiva/go-datastructures v1.0.52 h1:PLSK6pwn8mYdaoaCZEMsXBpBotr4HHn9abU0yMQt0NI= 2 | github.com/Workiva/go-datastructures v1.0.52/go.mod h1:Z+F2Rca0qCsVYDS8z7bAGm8f3UkzuWYS/oBZz5a7VVA= 3 | github.com/ajstarks/svgo v0.0.0-20180226025133-644b8db467af/go.mod h1:K08gAheRH3/J6wwsYMMT4xOr94bZjxIelGM0+d/wbFw= 4 | github.com/fogleman/gg v1.2.1-0.20190220221249-0403632d5b90/go.mod h1:R/bRT+9gY/C5z7JzPU0zXsXHKM4/ayA+zqcVNZzPa1k= 5 | github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0/go.mod h1:E/TSTwGwJL78qG/PmXZO1EjYhfJinVAhrmmHX6Z8B9k= 6 | github.com/gorilla/mux v1.8.0 h1:i40aqfkR1h2SlN9hojwV5ZA91wcXFOvkdNIeFDP5koI= 7 | github.com/gorilla/mux v1.8.0/go.mod h1:DVbg23sWSpFRCP0SfiEN6jmj59UnW/n46BH5rLB71So= 8 | github.com/jung-kurt/gofpdf v1.0.3-0.20190309125859-24315acbbda5/go.mod h1:7Id9E/uU8ce6rXgefFLlgrJj/GYY22cpxn+r32jIOes= 9 | github.com/libonomy/libonomy-gota v0.0.0-20200608144345-72810edc40bb h1:bG0i60odD9sKNwieJbzgKGj7JeKmqkJ4ZOJHfZliAS4= 10 | github.com/libonomy/libonomy-gota v0.0.0-20200608144345-72810edc40bb/go.mod h1:pvTr7apSnCvzXMxHbbgyzUtq0rZXrXcXoMPzQZlZv+E= 11 | github.com/libonomy/libonomy-gota v0.0.0-20200608155116-2b8b0b965097 h1:/GpRT+uQ17xALnLJg6eao6LFLeo4e3Eq+2CHhlQ0E3E= 12 | github.com/libonomy/libonomy-gota v0.0.0-20200608155116-2b8b0b965097/go.mod h1:fgyDbO2k3ZpH0yCNlIddDsYwGGDq/mLRwF0hqYNWNr0= 13 | golang.org/x/exp v0.0.0-20180321215751-8460e604b9de/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA= 14 | golang.org/x/exp v0.0.0-20180807140117-3d87b88a115f/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA= 15 | golang.org/x/exp v0.0.0-20190125153040-c74c464bbbf2 h1:y102fOLFqhV41b+4GPiJoa0k/x+pJcEi2/HB1Y5T6fU= 16 | golang.org/x/exp v0.0.0-20190125153040-c74c464bbbf2/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA= 17 | golang.org/x/image v0.0.0-20180708004352-c73c2afc3b81/go.mod h1:ux5Hcp/YLpHSI86hEcLt0YII63i6oz57MZXIpbrjZUs= 18 | golang.org/x/tools v0.0.0-20180525024113-a5b4c53f6e8b/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ= 19 | golang.org/x/tools v0.0.0-20190206041539-40960b6deb8e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ= 20 | gonum.org/v1/gonum v0.0.0-20180816165407-929014505bf4/go.mod h1:Y+Yx5eoAFn32cQvJDxZx5Dpnq+c3wtXuadVZAcxbbBo= 21 | gonum.org/v1/gonum v0.8.1 h1:wGtP3yGpc5mCLOLeTeBdjeui9oZSz5De0eOjMLC/QuQ= 22 | gonum.org/v1/gonum v0.8.1/go.mod h1:oe/vMfY3deqTw+1EZJhuvEW2iwGF1bW9wwu7XCu0+v0= 23 | gonum.org/v1/netlib v0.0.0-20190313105609-8cb42192e0e0 h1:OE9mWmgKkjJyEmDAAtGMPjXu+YNeGvK9VTSHY6+Qihc= 24 | gonum.org/v1/netlib v0.0.0-20190313105609-8cb42192e0e0/go.mod h1:wa6Ws7BG/ESfp6dHfk7C6KdzKA7wR7u/rKwOGE66zvw= 25 | gonum.org/v1/plot v0.0.0-20190515093506-e2840ee46a6b/go.mod h1:Wt8AAjI+ypCyYX3nZBvf6cAIx93T+c/OS2HFAYskSZc= 26 | rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4= 27 | -------------------------------------------------------------------------------- /main.go: -------------------------------------------------------------------------------- 1 | package main 2 | 3 | import ( 4 | "fmt" 5 | 6 | "github.com/libonomy/node-extract/routes" 7 | ) 8 | 9 | func main() { 10 | fmt.Println("AI training Server Is Running...") 11 | routes.StartRoutes() 12 | } 13 | -------------------------------------------------------------------------------- /models/classNames.go: -------------------------------------------------------------------------------- 1 | package models 2 | 3 | //ClassNames to storeClass Names 4 | var ClassNames = []string{"CLASS 1", "CLASS 2", "CLASS 3"} 5 | -------------------------------------------------------------------------------- /models/modelConfig.go: -------------------------------------------------------------------------------- 1 | package models 2 | 3 | //ModelConfig structure for saving model details 4 | type ModelConfig struct { 5 | InputNeurons int `json:"inputNeurons"` 6 | OutputNeurons int `json:"outputNeurons"` 7 | HiddenNeurons int `json:"hiddenNeurons"` 8 | NumEpochs int `json:"numEpochs"` 9 | LearningRate float64 `json:"learningRate"` 10 | BHidden [][]float64 `json:"bHidden"` 11 | BHiddenDims []int `json:"bHiddenDims"` 12 | WHidden [][]float64 `json:"wHidden"` 13 | WHiddenDims []int `json:"wHiddenDims"` 14 | BOut [][]float64 `json:"bOut"` 15 | BOutDims []int `json:"bOutDims"` 16 | WOut [][]float64 `json:"wOut"` 17 | WOutDims []int `json:"wOutDims"` 18 | } 19 | -------------------------------------------------------------------------------- /models/modelStats.go: -------------------------------------------------------------------------------- 1 | package models 2 | 3 | //ModelStats structure for model statistics 4 | type ModelStats struct { 5 | TestAccuracy float64 `json:"testAccuracy"` 6 | TrainAccuracy float64 `json:"trainAccuracy"` 7 | PredictAccuracy float64 `json:"predictAccuracy"` 8 | } 9 | -------------------------------------------------------------------------------- /models/nn.go: -------------------------------------------------------------------------------- 1 | package models 2 | 3 | import "gonum.org/v1/gonum/mat" 4 | 5 | //NeuralNet structure 6 | type NeuralNet struct { 7 | Config NeuralNetConfig 8 | WHidden *mat.Dense 9 | BHidden *mat.Dense 10 | WOut *mat.Dense 11 | BOut *mat.Dense 12 | } 13 | 14 | //NeuralNetConfig structure 15 | type NeuralNetConfig struct { 16 | InputNeurons int 17 | OutputNeurons int 18 | HiddenNeurons int 19 | NumEpochs int 20 | LearningRate float64 21 | } 22 | -------------------------------------------------------------------------------- /models/stats.json: -------------------------------------------------------------------------------- 1 | { 2 | "testAccuracy": 0, 3 | "trainAccuracy": 87.75510204081633, 4 | "predictAccuracy": 0 5 | } -------------------------------------------------------------------------------- /models/test.json: -------------------------------------------------------------------------------- 1 | { 2 | "inputNeurons": 2, 3 | "outputNeurons": 2, 4 | "hiddenNeurons": 5, 5 | "numEpochs": 5000, 6 | "learningRate": 0.02, 7 | "bHidden": [ 8 | [ 9 | 0.9353095973436067, 10 | 0.9900387261784357, 11 | 0.850923029763354, 12 | 0.9315110226193309, 13 | 0.4042517334833132 14 | ] 15 | ], 16 | "bHiddenDims": [ 17 | 1, 18 | 5 19 | ], 20 | "wHidden": [ 21 | [ 22 | -0.08474319763195065, 23 | 0.3100130201168171, 24 | 0.5974656601590075, 25 | 0.49839105073530965, 26 | 0.20263733856116947 27 | ], 28 | [ 29 | -0.27255062967165533, 30 | 0.08550870365683617, 31 | 0.44630281189411847, 32 | 0.2769921496356301, 33 | 0.18023206730734556 34 | ] 35 | ], 36 | "wHiddenDims": [ 37 | 2, 38 | 5 39 | ], 40 | "bOut": [ 41 | [ 42 | 0.2850400910788978, 43 | -0.5867013233136081 44 | ] 45 | ], 46 | "bOutDims": [ 47 | 1, 48 | 2 49 | ], 50 | "wOut": [ 51 | [ 52 | -0.15882854248545028, 53 | -0.840530234053065 54 | ], 55 | [ 56 | 0.7510319695104988, 57 | -0.49457111842021495 58 | ], 59 | [ 60 | 0.529992472925581, 61 | -0.06325522625286654 62 | ], 63 | [ 64 | 0.4071973452446177, 65 | -0.3262052558866998 66 | ], 67 | [ 68 | 0.48680075386398747, 69 | -0.19917666555617833 70 | ] 71 | ], 72 | "wOutDims": [ 73 | 5, 74 | 2 75 | ] 76 | } -------------------------------------------------------------------------------- /routes/router.go: -------------------------------------------------------------------------------- 1 | package routes 2 | 3 | import ( 4 | "log" 5 | "net/http" 6 | 7 | "github.com/libonomy/node-extract/utils/helper" 8 | 9 | "github.com/gorilla/mux" 10 | "github.com/libonomy/node-extract/controllers" 11 | ) 12 | 13 | //StartRoutes listening 14 | func StartRoutes() { 15 | helper.ServerGenerateKey() 16 | router := mux.NewRouter().StrictSlash(true) 17 | 18 | dev := router.PathPrefix("/api/dev").Subrouter() 19 | 20 | dev.HandleFunc("/testing", controllers.Testing).Methods("POST") 21 | dev.HandleFunc("/generateCSVfromJSON", controllers.GenerateCSV).Methods("POST") 22 | dev.HandleFunc("/cleanData", controllers.CleanData).Methods("GET") 23 | dev.HandleFunc("/normalizeCSVData", controllers.NormalizeData).Methods("GET") 24 | dev.HandleFunc("/splitData", controllers.SplitAndShuffle).Methods("POST") 25 | //dev.HandleFunc("/train", controllers.GenerateCSV).Methods("GET") 26 | //dev.HandleFunc("/test", controllers.GenerateCSV).Methods("GET") 27 | //dev.HandleFunc("/validate", controllers.GenerateCSV).Methods("GET") 28 | dev.HandleFunc("/predict", controllers.Predict).Methods("POST") 29 | dev.HandleFunc("/trainComplete", controllers.Train).Methods("GET") 30 | dev.HandleFunc("/getKey", controllers.GettingPublicKey).Methods("GET") 31 | //dev.HandleFunc("/gettingData", controllers.GettingData).Methods("POST") 32 | 33 | log.Fatal(http.ListenAndServe(":4400", router)) 34 | } 35 | -------------------------------------------------------------------------------- /utils/helper/csvFileWriter.go: -------------------------------------------------------------------------------- 1 | package helper 2 | 3 | import ( 4 | "encoding/csv" 5 | "os" 6 | ) 7 | 8 | //WriteCSVFile function for writing CSV Files 9 | //It will check if file exists then Write to File 10 | //If not then it will create file and then Write To File 11 | func WriteCSVFile(path string, data [][]string) error { 12 | 13 | fileDescriptor, err := os.Create(path) 14 | if err != nil { 15 | return err 16 | } 17 | 18 | csvWriter := csv.NewWriter(fileDescriptor) 19 | csvWriter.WriteAll(data) 20 | csvWriter.Flush() 21 | return nil 22 | } 23 | -------------------------------------------------------------------------------- /utils/helper/helpers.go: -------------------------------------------------------------------------------- 1 | package helper 2 | 3 | import ( 4 | "crypto" 5 | "crypto/rand" 6 | "crypto/rsa" 7 | "fmt" 8 | 9 | "github.com/libonomy/node-extract/constants" 10 | ) 11 | 12 | //StringContains Funtion for Checking if slice of array (a) contains string (x) 13 | func StringContains(a []string, x string) bool { 14 | for _, n := range a { 15 | if x == n { 16 | return true 17 | } 18 | } 19 | return false 20 | } 21 | 22 | //DecryptDatafromClient decryption of data coming from client 23 | func DecryptDatafromClient(encryptedBytes []byte) []byte { 24 | 25 | decryptedBytes, err := constants.PrivateKey.Decrypt(nil, encryptedBytes, &rsa.OAEPOptions{Hash: crypto.SHA256}) 26 | if err != nil { 27 | panic(err) 28 | } 29 | 30 | fmt.Println("decrypted message: ", string(decryptedBytes)) 31 | return decryptedBytes 32 | } 33 | 34 | // ServerGenerateKey server keys 35 | func ServerGenerateKey() { 36 | privateKey, err := rsa.GenerateKey(rand.Reader, 2048) 37 | if err != nil { 38 | panic(err) 39 | } 40 | 41 | /* modulusBytes := base64.StdEncoding.EncodeToString(privateKey.N.Bytes()) 42 | privateExponentBytes := base64.StdEncoding.EncodeToString(privateKey.D.Bytes()) */ 43 | /* fmt.Println("showing modules", modulusBytes) 44 | fmt.Println("showing private key", privateExponentBytes) */ 45 | constants.PublicKey = privateKey.PublicKey 46 | constants.PrivateKey = privateKey 47 | fmt.Println("keys Registered") 48 | } 49 | -------------------------------------------------------------------------------- /utils/utils.go: -------------------------------------------------------------------------------- 1 | package utils 2 | 3 | import ( 4 | "bufio" 5 | "errors" 6 | "fmt" 7 | "log" 8 | "math" 9 | "math/rand" 10 | "os" 11 | "time" 12 | 13 | "github.com/libonomy/libonomy-gota/dataframe" 14 | "github.com/libonomy/node-extract/models" 15 | "gonum.org/v1/gonum/floats" 16 | "gonum.org/v1/gonum/mat" 17 | ) 18 | 19 | //Sigmoid Activation Function 20 | func Sigmoid(x float64) float64 { 21 | return 1.0 / (1.0 + math.Exp(-x)) 22 | // if x < 0 { 23 | // return 0.0 24 | // } 25 | // return x 26 | } 27 | 28 | //SigmoidPrime Derivative of Sigmoid Function 29 | func SigmoidPrime(x float64) float64 { 30 | return x * (1.0 - x) 31 | // if x < 0 { 32 | // return 0.0 33 | // } 34 | 35 | // return 1.0 36 | } 37 | 38 | //NewNetwork for obtaining new network 39 | func NewNetwork(Config models.NeuralNetConfig) *models.NeuralNet { 40 | return &models.NeuralNet{Config: Config} 41 | } 42 | 43 | //SumAlongAxis function for sum 44 | func SumAlongAxis(axis int, m *mat.Dense) (*mat.Dense, error) { 45 | numRows, numCols := m.Dims() 46 | var output *mat.Dense 47 | switch axis { 48 | case 0: 49 | data := make([]float64, numCols) 50 | for i := 0; i < numCols; i++ { 51 | col := mat.Col(nil, i, m) 52 | data[i] = floats.Sum(col) 53 | } 54 | output = mat.NewDense(1, numCols, data) 55 | case 1: 56 | data := make([]float64, numRows) 57 | for i := 0; i < numRows; i++ { 58 | row := mat.Row(nil, i, m) 59 | data[i] = floats.Sum(row) 60 | } 61 | output = mat.NewDense(numRows, 1, data) 62 | default: 63 | return nil, errors.New("invalid axis, must be 0 or 1") 64 | } 65 | return output, nil 66 | } 67 | 68 | //SplitData function for spliting data set 69 | func SplitData(data dataframe.DataFrame) { 70 | 71 | trainingNum := (data.Nrow() * 4) / 5 72 | testNum := data.Nrow() / 5 73 | 74 | fmt.Println("Training ", trainingNum, "Testing", testNum) 75 | trainingIndex := make([]int, trainingNum) 76 | testingIndex := make([]int, testNum) 77 | 78 | for i := 0; i < trainingNum; i++ { 79 | trainingIndex[i] = i 80 | } 81 | for i := 0; i < testNum; i++ { 82 | testingIndex[i] = trainingNum + i 83 | } 84 | 85 | trainingDF := data.Subset(trainingIndex) 86 | testDF := data.Subset(testingIndex) 87 | 88 | setMap := map[int]dataframe.DataFrame{ 89 | 0: trainingDF, 90 | 1: testDF, 91 | } 92 | 93 | for i, nameDF := range []string{"iris_train.csv", "iris_test.csv"} { 94 | f, err := os.Create(nameDF) 95 | if err != nil { 96 | log.Fatal(err) 97 | } 98 | 99 | // Create a buffered writer. 100 | w := bufio.NewWriter(f) 101 | 102 | setMap[i].WriteCSV(w) 103 | } 104 | 105 | } 106 | 107 | //ShuffleRawCSVdata function for shuffling dataset 108 | func ShuffleRawCSVdata(data [][]string) [][]string { 109 | 110 | rand.Shuffle(len(data), func(i, j int) { 111 | data[i], data[j] = data[j], data[i] 112 | }) 113 | return data 114 | } 115 | 116 | //Train functions 117 | func Train(x, y *mat.Dense, nn *models.NeuralNet) (*mat.Dense, error) { 118 | randSource := rand.NewSource(time.Now().UnixNano()) 119 | randGen := rand.New(randSource) 120 | 121 | wHiddenRaw := make([]float64, nn.Config.HiddenNeurons*nn.Config.InputNeurons) 122 | bHiddenRaw := make([]float64, nn.Config.HiddenNeurons) 123 | wOutRaw := make([]float64, nn.Config.HiddenNeurons*nn.Config.OutputNeurons) 124 | bOutRaw := make([]float64, nn.Config.OutputNeurons) 125 | 126 | for _, param := range [][]float64{wHiddenRaw, bHiddenRaw, wOutRaw, bOutRaw} { 127 | for i := range param { 128 | param[i] = randGen.Float64() 129 | //fmt.Println(param[i]) 130 | } 131 | } 132 | 133 | wHidden := mat.NewDense(nn.Config.InputNeurons, nn.Config.HiddenNeurons, wHiddenRaw) 134 | bHidden := mat.NewDense(1, nn.Config.HiddenNeurons, bHiddenRaw) 135 | wOut := mat.NewDense(nn.Config.HiddenNeurons, nn.Config.OutputNeurons, wOutRaw) 136 | bOut := mat.NewDense(1, nn.Config.OutputNeurons, bOutRaw) 137 | var output mat.Dense 138 | 139 | for i := 0; i < nn.Config.NumEpochs; i++ { 140 | // Feed Forward Process 141 | var hiddenLayerInput mat.Dense 142 | //hiddenLayerInput := mat.NewDense(0, 0, nil) 143 | hiddenLayerInput.Mul(x, wHidden) 144 | addBHidden := func(_, col int, v float64) float64 { return v + bHidden.At(0, col) } 145 | hiddenLayerInput.Apply(addBHidden, &hiddenLayerInput) 146 | // hiddenLayerActivations := mat.NewDense(0, 0, nil) 147 | var hiddenLayerActivations mat.Dense 148 | applySigmoid := func(_, _ int, v float64) float64 { return Sigmoid(v) } 149 | hiddenLayerActivations.Apply(applySigmoid, &hiddenLayerInput) 150 | 151 | //outputLayerInput := mat.NewDense(0, 0, nil) 152 | var outputLayerInput mat.Dense 153 | outputLayerInput.Mul(&hiddenLayerActivations, wOut) 154 | addBOut := func(_, col int, v float64) float64 { return v + bOut.At(0, col) } 155 | outputLayerInput.Apply(addBOut, &outputLayerInput) 156 | output.Apply(applySigmoid, &outputLayerInput) 157 | 158 | // Back Propogation Process 159 | // networkError := mat.NewDense(0, 0, nil) 160 | var networkError mat.Dense 161 | networkError.Sub(y, &output) 162 | 163 | // slopeOutputLayer := mat.NewDense(0, 0, nil) 164 | var slopeOutputLayer mat.Dense 165 | applySigmoidPrime := func(_, _ int, v float64) float64 { return SigmoidPrime(v) } 166 | slopeOutputLayer.Apply(applySigmoidPrime, &output) 167 | // slopeHiddenLayer := mat.NewDense(0, 0, nil) 168 | var slopeHiddenLayer mat.Dense 169 | slopeHiddenLayer.Apply(applySigmoidPrime, &hiddenLayerActivations) 170 | 171 | // dOutput := mat.NewDense(0, 0, nil) 172 | var dOutput mat.Dense 173 | dOutput.MulElem(&networkError, &slopeOutputLayer) 174 | // errorAtHiddenLayer := mat.NewDense(0, 0, nil) 175 | var errorAtHiddenLayer mat.Dense 176 | errorAtHiddenLayer.Mul(&dOutput, wOut.T()) 177 | 178 | // dHiddenLayer := mat.NewDense(0, 0, nil) 179 | var dHiddenLayer mat.Dense 180 | dHiddenLayer.MulElem(&errorAtHiddenLayer, &slopeHiddenLayer) 181 | 182 | // Adjust The Parameters 183 | // wOutAdj := mat.NewDense(0, 0, nil) 184 | var wOutAdj mat.Dense 185 | wOutAdj.Mul(hiddenLayerActivations.T(), &dOutput) 186 | wOutAdj.Scale(nn.Config.LearningRate, &wOutAdj) 187 | wOut.Add(wOut, &wOutAdj) 188 | 189 | bOutAdj, err := SumAlongAxis(0, &dOutput) 190 | if err != nil { 191 | return nil, err 192 | } 193 | bOutAdj.Scale(nn.Config.LearningRate, bOutAdj) 194 | bOut.Add(bOut, bOutAdj) 195 | 196 | // wHiddenAdj := mat.NewDense(0, 0, nil) 197 | var wHiddenAdj mat.Dense 198 | wHiddenAdj.Mul(x.T(), &dHiddenLayer) 199 | wHiddenAdj.Scale(nn.Config.LearningRate, &wHiddenAdj) 200 | wHidden.Add(wHidden, &wHiddenAdj) 201 | 202 | bHiddenAdj, err := SumAlongAxis(0, &dHiddenLayer) 203 | if err != nil { 204 | return nil, err 205 | } 206 | bHiddenAdj.Scale(nn.Config.LearningRate, bHiddenAdj) 207 | bHidden.Add(bHidden, bHiddenAdj) 208 | 209 | } 210 | 211 | nn.WHidden = wHidden 212 | nn.BHidden = bHidden 213 | nn.WOut = wOut 214 | nn.BOut = bOut 215 | 216 | return &output, nil 217 | } 218 | 219 | //Predict for prediction 220 | func Predict(x *mat.Dense, nn *models.NeuralNet) (*mat.Dense, error) { 221 | 222 | // Check to make sure that our neuralNet value 223 | // represents a trained model. 224 | if nn.WHidden == nil || nn.WOut == nil || nn.BHidden == nil || nn.BOut == nil { 225 | return nil, errors.New("the supplied neurnal net weights and biases are empty") 226 | } 227 | 228 | // Define the output of the neural network. 229 | var output mat.Dense 230 | 231 | // Complete the feed forward process. 232 | var hiddenLayerInput mat.Dense 233 | hiddenLayerInput.Mul(x, nn.WHidden) 234 | addBHidden := func(_, col int, v float64) float64 { return v + nn.BHidden.At(0, col) } 235 | hiddenLayerInput.Apply(addBHidden, &hiddenLayerInput) 236 | 237 | var hiddenLayerActivations mat.Dense 238 | applySigmoid := func(_, _ int, v float64) float64 { return Sigmoid(v) } 239 | hiddenLayerActivations.Apply(applySigmoid, &hiddenLayerInput) 240 | 241 | var outputLayerInput mat.Dense 242 | outputLayerInput.Mul(&hiddenLayerActivations, nn.WOut) 243 | addBOut := func(_, col int, v float64) float64 { return v + nn.BOut.At(0, col) } 244 | outputLayerInput.Apply(addBOut, &outputLayerInput) 245 | output.Apply(applySigmoid, &outputLayerInput) 246 | 247 | return &output, nil 248 | } 249 | --------------------------------------------------------------------------------