├── .gitignore
├── LICENSE
├── README.md
├── README_build_pdf.md
├── build.sh
├── build
    └── build1
    │   └── ml-project-checklist.pdf
├── ml-project-checklist.pdf
├── package-lock.json
├── package.json
└── style.css


/.gitignore:
--------------------------------------------------------------------------------
1 | node_modules
2 | 


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2020 Lars Sjösund
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/README.md:
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 1 | # Machine Learning Project Checklist
 2 | The items on this checklist come from various sources, such as <a href="https://www.deeplearning.ai/machine-learning-yearning/"> Machine Learning Yearning</a>, <a href="https://fullstackdeeplearning.com/">Full Stack Deep Learning</a>, <a href="https://mlpowered.com/book/"> Building Machine Learning Powered Applications</a>, and also from my own personal experience. This is work in progress, and contributions are welcome. If you have any additions, please submit a PR to <a href="https://github.com/sjosund/ml-project-checklist">this repo</a>.
 3 | 
 4 | ## Before modelling
 5 | ### Project
 6 | - [ ] The project has a clear, codified business goal/metric
 7 | - [ ] There is a person who is ultimately responsible for the success/failure of the project
 8 | - [ ] We have a plan for how to reach a first deployed end product as fast as possible
 9 | - [ ] We have decided on how and when to keep the team in sync (daily/weekly standups, retrospectives, planning meetings, etc)
10 | - [ ] We have assessed how the product will impact stakeholders (e.g. people, society, world)
11 | - [ ] We have identified relevant regulation and translated it to requirements
12 | - [ ] We have identified requirements related to fairness, accountability, and transparency
13 | 
14 | ### Problem understanding
15 | - [ ] We have decided on one single metric on which to rank our models
16 | - [ ] We have clarified the costs of the different kinds of erroneous predictions
17 | - [ ] We have an understanding of how good performance is "good enough"
18 | - [ ] We know the constraints in serving time w.r.t. memory usage
19 | - [ ] We know the constraints in serving time w.r.t. latency
20 | - [ ] We know the constraints in serving time w.r.t. throughput
21 | - [ ] We know if we’re doing streaming- or batch prediction
22 | - [ ] We understand the current state of ML applied to the problem we’re trying to solve
23 | - [ ] We have an idea of how important freshness is. How often will we need to change the model?
24 | - [ ] We have domain experts who can help us understand the problem and error modes
25 | - [ ] We know where the model will be deployed (server / client, browser / on device)
26 | 
27 | ### Data
28 | - [ ] We have selected a dev- and test set that are reflective of the real task we're trying to solve
29 | - [ ] Our dev- and test sets are from the same distribution
30 | - [ ] Our dev set is large enough, so that we can detect improvements to the desired accuracy
31 | - [ ] We understand how to split the data into train/val/test to avoid data leakage
32 | - [ ] If we need to collect data, we know how difficult and costly it will be to collect and annotate
33 | - [ ] We have a plan for how to store and version our data, dataset splits, models, and change in annotations
34 | - [ ] We get a reasonable <a href="https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/aad9f93b86b7addfea4c419b9100c6cdd26cacea.pdf">“ML Test Score”</a>, table 1
35 | 
36 | ## Modelling
37 | - [ ] We have one or several well thought out baselines in place. These are not good enough, so there’s an actual need to use ML
38 | - [ ] There’s a metrics webpage where we can compare runs and the url is ___________________
39 | - [ ] We can (approximately) reproduce a model if needed
40 | - [ ] We get a reasonable <a href="https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/aad9f93b86b7addfea4c419b9100c6cdd26cacea.pdf">“ML Test Score”</a>, table 2
41 | 
42 | ## Deployment
43 | - [ ] We have CI in place
44 | - [ ] We have tests for the full training pipeline
45 | - [ ] We have validation tests
46 | - [ ] We have functionality tests
47 | - [ ] We have unit tests
48 | - [ ] We have CD in place
49 | - [ ] We have CT in place
50 | - [ ] Blue/green deployment in place
51 | - [ ] We can deploy a model in shadow mode
52 | - [ ] Monitoring in place for memory consumption
53 | - [ ] Monitoring in place for CPU consumption
54 | - [ ] Monitoring in place for latency
55 | - [ ] Monitoring in place for downtime
56 | - [ ] Monitoring in place for requests per second
57 | - [ ] Monitoring in place for prediction confidence over time
58 | - [ ] We have a way of detecting if a model will fail on a given datapoint, and a corresponding fallback
59 | - [ ] We get a reasonable <a href="https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/aad9f93b86b7addfea4c419b9100c6cdd26cacea.pdf">“ML Test Score”</a>, table 3-4
60 | 
61 | </div>
62 | 


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/README_build_pdf.md:
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 1 | # ML Project Checklist
 2 | ## Installation
 3 | Clone repo
 4 | ```bash
 5 | git clone git@github.com:sjosund/ml-project-checklist.git
 6 | ```
 7 | Install dependencies
 8 | ```bash
 9 | cd ml-project-checklist
10 | npm install
11 | ```
12 | ## Edit and build the checklist
13 | To edit items, change [README.md](README.md). To build the pdf, open a terminal and run `./build.sh`, and the pdf will be available at [ml-project-checklist.pdf](ml-project-checklist.pdf). Print it out and stick it to the wall next to you for your next project.
14 | This is a work in progress, and will be continually updated. Feedback and PRs are more than welcome!
15 | 
16 | ## Licence
17 | MIT
18 | 


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2 | cat README.md | md-to-pdf --stylesheet style.css > ml-project-checklist.pdf
3 | 


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1193 | 


--------------------------------------------------------------------------------
/package.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "name": "ml-project-checklist",
 3 |   "version": "1.0.0",
 4 |   "repository": {
 5 |     "type": "git",
 6 |     "url": "git+https://github.com/sjosund/ml-project-checklist.git"
 7 |   },
 8 |   "author": "Lars Lowe Sjösund",
 9 |   "license": "MIT",
10 |   "bugs": {
11 |     "url": "https://github.com/sjosund/ml-project-checklist/issues"
12 |   },
13 |   "homepage": "https://github.com/sjosund/ml-project-checklist#readme",
14 |   "dependencies": {
15 |     "md-to-pdf": "^5.0.0"
16 |   }
17 | }
18 | 


--------------------------------------------------------------------------------
/style.css:
--------------------------------------------------------------------------------
 1 | body {
 2 |     font: "Times New Roman"
 3 | }
 4 | 
 5 | ol,ul {
 6 |     list-style: none;
 7 | }
 8 | 
 9 | li {
10 |     margin: 0 0 7px -35px;
11 |     max-width: 500px;
12 | }
13 | 
14 | h2, h3 {
15 |     margin: 10px 0 0 0;
16 | }
17 | 


--------------------------------------------------------------------------------