├── .gitignore ├── .readthedocs.yaml ├── LICENSE ├── README.md ├── app ├── X_airquality_clustering_tobodeleted.py ├── clustering_app1.py ├── clustering_app_CDM.py ├── data_manipulation.py ├── data_preprocessing.py ├── integration_app1.py ├── numpy_encoder.py └── pipeline_test │ ├── param_case.py │ ├── param_data_airquality.py │ ├── pipeline_ml_train_test.py │ └── test_interface.py ├── clust ├── ML │ ├── README.md │ ├── anomaly_detection │ │ ├── clust_models │ │ │ ├── AT_clust.py │ │ │ ├── beatgan_clust.py │ │ │ ├── lstm_clust.py │ │ │ └── rnn_predictor_clust.py │ │ ├── dataset │ │ │ ├── AT_data_loader.py │ │ │ └── beatgan_dataset.py │ │ ├── inference.py │ │ ├── interface.py │ │ ├── models │ │ │ ├── AnomalyTransformer.py │ │ │ ├── attn.py │ │ │ ├── beatgan.py │ │ │ ├── embed.py │ │ │ ├── lstm_vae.py │ │ │ └── rnn_predictor.py │ │ ├── test.py │ │ └── train.py │ ├── classification │ │ ├── app.py │ │ ├── classification_model │ │ │ ├── cnn_1d_model.py │ │ │ ├── lstm_fcns_model.py │ │ │ └── rnn_model.py │ │ ├── inference.py │ │ ├── interface.py │ │ ├── models │ │ │ ├── cnn_1d.py │ │ │ ├── lstm_fcns.py │ │ │ └── rnn.py │ │ ├── test.py │ │ └── train.py │ ├── clustering │ │ ├── .DS_Store │ │ ├── __init__.py │ │ ├── clustering.py │ │ ├── etc.py │ │ ├── interface.py │ │ ├── kMeans.py │ │ └── som.py │ ├── common │ │ ├── AD_api.py │ │ ├── AD_pipeline.py │ │ ├── ML_api.py │ │ ├── ML_pipeline.py │ │ ├── common │ │ │ └── p1_integratedDataSaving.py │ │ ├── echart.py │ │ ├── model_parameter_setting.py │ │ ├── model_path_setting.py │ │ └── tool.py │ ├── forecasting │ │ ├── app.py │ │ ├── inference.py │ │ ├── models │ │ │ ├── gru_model.py │ │ │ ├── lstm_model.py │ │ │ └── rnn_model.py │ │ ├── optimizer.py │ │ ├── test.py │ │ └── train.py │ ├── regression │ │ ├── clust_models │ │ │ ├── cnn1d_clust.py │ │ │ ├── lstm_fcns_clust.py │ │ │ └── rnn_clust.py │ │ ├── inference.py │ │ ├── interface.py │ │ ├── models │ │ │ ├── cnn_1d.py │ │ │ ├── lstm_fcns.py │ │ │ └── rnn.py │ │ ├── test.py │ │ └── train.py │ └── tool │ │ ├── clean.py │ │ ├── data.py │ │ ├── meta.py │ │ ├── model.py │ │ ├── scaler.py │ │ └── util.py ├── README.md ├── analysis │ ├── analysis_interface.py │ ├── bucketReport.py │ ├── dataAnalysis.py │ ├── dataSetAnalysis.py │ ├── statisticAnalyzer │ │ ├── __init__.py │ │ └── statistics.py │ └── timeAnalyzer │ │ ├── __init__.py │ │ ├── mean_by_holiday.py │ │ ├── mean_by_timeStep.py │ │ └── mean_by_working.py ├── data │ ├── data_interface.py │ ├── df_data.py │ ├── df_set_data.py │ └── store_data.py ├── ingestion │ ├── CSVtoInflux │ │ ├── 0-2-1. ingestion.CSVtoInflux.BasicData.ipynb │ │ ├── 0-2-2. ingestion.CSVtoInflux.SelectedData.ipynb │ │ ├── 0-2-3. ingestion.CSVtoInflux.TimeDuplicationData.ipynb │ │ ├── 0-2-4. ingestion.CSVtoInflux.Folder.ipynb │ │ ├── cleanDataByType.py │ │ └── csvCollector.py │ ├── DataToCSV │ │ ├── __init__.py │ │ └── dfToCSV.py │ ├── __init__.py │ ├── influx │ │ ├── config.ini │ │ ├── influx_client.py │ │ └── influx_client_v2.py │ ├── interface │ │ └── data_from_to_multisource.py │ └── mongo │ │ ├── custom_modules.py │ │ └── mongo_client.py ├── integration │ ├── ML │ │ ├── RNNAEAlignment.py │ │ ├── RNN_AE │ │ │ ├── __init__.py │ │ │ ├── model.py │ │ │ └── train_model.py │ │ ├── Test.ipynb │ │ └── __init__.py │ ├── integration_by_method.py │ ├── integration_interface.py │ ├── meta │ │ ├── __init__.py │ │ ├── data_integration.py │ │ └── partialDataInfo.py │ └── utils │ │ ├── __init__.py │ │ └── param.py ├── meta │ ├── __init__.py │ ├── ingestion_meta_exploration.py │ ├── metaDataManager │ │ ├── __init__.py │ │ ├── bucketMeta.py │ │ ├── collector.py │ │ ├── descriptor.py │ │ └── wizMongoDbApi.py │ ├── metaFormatCheck │ │ └── metaInfo.py │ └── metaGenerator │ │ ├── analysisDBMetaGenerator.py │ │ ├── analysisMSMetaGenerator.py │ │ └── fileMetaGenerator.py ├── pipeline │ ├── data_pipeline.py │ └── param.py ├── preprocessing │ ├── dataPreprocessing.py │ ├── errorDetection │ │ ├── README.md │ │ ├── certainError.py │ │ ├── dataOutlier.py │ │ ├── dataRangeInfo_manager.py │ │ ├── errorToNaN.py │ │ └── unCertainError.py │ ├── imputation │ │ ├── DLMethod.py │ │ ├── Imputation.py │ │ ├── __init__.py │ │ ├── basicMethod.py │ │ └── nanMasking.py │ ├── processing_interface.py │ ├── refinement │ │ ├── __init__.py │ │ ├── frequency.py │ │ └── redundancy.py │ └── sampleData │ │ ├── data_miss_original.csv │ │ ├── imputated_data.csv │ │ ├── original_data.csv │ │ ├── result.csv │ │ ├── test_imputed_data.csv │ │ └── test_original_data.csv ├── quality │ ├── NaN │ │ ├── __init__.py │ │ ├── clean_feature_data.py │ │ └── data_remove_byNaN.py │ └── quality_interface.py ├── tool │ ├── file_module │ │ └── file_common.py │ ├── plot │ │ ├── __init__.py │ │ ├── plot_echart.py │ │ ├── plot_features.py │ │ ├── plot_image.py │ │ ├── plot_interface.py │ │ ├── plot_plt.py │ │ └── plot_two_data.py │ └── stats_table │ │ ├── __init__.py │ │ ├── correlation.py │ │ ├── metrics.py │ │ └── timelagCorr.py └── transformation │ ├── entropy │ ├── LICENSE │ ├── README.md │ ├── entropy │ │ ├── DisEn_NCDF.py │ │ ├── DisEn_NCDF_ms.py │ │ ├── MCRDE │ │ │ ├── MCRDE.py │ │ │ └── cumulativeFunc.py │ │ ├── MDE │ │ │ └── MDE.py │ │ └── Multi.py │ ├── main.py │ ├── requirement.txt │ ├── results │ │ ├── avg_mcrde_chf.txt │ │ ├── avg_mcrde_healthy.txt │ │ ├── std_mcrde_chf.txt │ │ └── std_mcrde_healthy.txt │ ├── sample_data │ │ ├── RRIs_AF_1000.mat │ │ ├── RRIs_CHF_1000.mat │ │ └── RRIs_HEALTHY_1000.mat │ ├── test_keti.ipynb │ ├── test_kw.ipynb │ ├── test_old.ipynb │ └── utils │ │ ├── plot_Entropy.py │ │ └── write_txt.py │ ├── featureExtension │ ├── __init__.py │ ├── encodedFeatureExtension.py │ ├── etcFeatureExtension.py │ ├── periodicFeatureExtension.py │ ├── timeFeatureExtension.py │ └── timeLagFeatureExtension.py │ ├── featureReduction │ ├── __init__.py │ ├── featureExtraction.py │ └── pca.py │ ├── general │ ├── __init__.py │ ├── basicTransform.py │ ├── dataScaler.py │ ├── data_scaling.py │ ├── flatten_interface.py │ ├── select_interface.py │ └── split_interface.py │ ├── purpose │ ├── __init__.py │ ├── machineLearning.py │ ├── trans_for_LSTMLearning.py │ └── transformForDataSplit.py │ ├── sampling │ ├── __init__.py │ └── data_up_down.py │ ├── splitDataByCondition │ ├── holiday.py │ ├── timeStep.py │ └── working.py │ ├── splitDataByCycle │ ├── __init__.py │ ├── cycleModule_tobedeleted.py │ └── dataByCycle.py │ └── type │ ├── DFToNPArray.py │ ├── DFToSeries.py │ └── NPArrayToDF.py ├── docs ├── Makefile ├── image │ ├── analysis │ │ ├── docs_analysis_img_1.png │ │ ├── docs_analysis_img_2.png │ │ ├── docs_analysis_img_3.png │ │ ├── docs_dataSet_analysis_img.png │ │ ├── docs_data_analysis_img.png │ │ └── docs_feature_exp_img.png │ ├── data │ │ ├── data_dict_output.png │ │ ├── data_ingestion_structure.png │ │ ├── data_interface.png │ │ ├── data_multiple.png │ │ ├── data_multiple_type.png │ │ └── data_single_type.png │ ├── index │ │ ├── clust_img.png │ │ ├── clust_main.png │ │ ├── clust_platform.png │ │ ├── clust_server_structure.png │ │ ├── clust_server_structure_2.png │ │ ├── clust_total.png │ │ ├── meta_server.png │ │ └── p1.png │ ├── ingestion │ │ ├── custom_table.PNG │ │ ├── influx_structure.png │ │ ├── ingestion_influx_mongo_db.png │ │ ├── ingestion_influx_mongo_save.png │ │ ├── mongo_structure.png │ │ └── original_table.PNG │ ├── integration │ │ ├── integration_column_feature.png │ │ ├── integration_dataset_integrator.png │ │ └── integration_set.png │ ├── machine_learning │ │ ├── classification_test_result.PNG │ │ ├── ml_1.png │ │ ├── ml_2.png │ │ ├── ml_entry.png │ │ ├── ml_inference.png │ │ ├── ml_interface.png │ │ ├── ml_parameter.png │ │ ├── ml_pipeline.png │ │ ├── ml_regression_test_result.png │ │ ├── ml_test.png │ │ └── ml_training.png │ ├── meta │ │ ├── docs_meta_img.png │ │ ├── docs_meta_structure_img.png │ │ └── docs_meta_view_img.png │ ├── pipeline │ │ ├── manipulation_pipeline.PNG │ │ ├── pipeline_format.png │ │ ├── pipeline_in_out.png │ │ ├── pipeline_module.png │ │ └── pipeline_optimization_module.png │ ├── preprocessing │ │ ├── preprocessing_module.png │ │ └── preprocessing_pipeline.png │ ├── tool │ │ ├── docs_plot_graph_img.png │ │ ├── docs_plot_img.png │ │ ├── docs_plot_interface_img_1.png │ │ └── docs_plot_interface_img_2.png │ └── transformation │ │ ├── transformation_1.png │ │ └── transformation_2.png ├── make.bat ├── requirements.txt └── source │ ├── ML.rst │ ├── ML │ ├── ML.anomaly_detection.rst │ ├── ML.classification.rst │ ├── ML.clustering.rst │ ├── ML.common.rst │ ├── ML.regression.rst │ ├── ML.tool.rst │ ├── anomaly_detection │ │ ├── anomaly_detection.anomaly_detection_py.rst │ │ ├── anomaly_detection.clust_models.rst │ │ ├── anomaly_detection.dataset.rst │ │ └── anomaly_detection.models.rst │ ├── classification │ │ ├── classification.classification_model.rst │ │ ├── classification.classification_py.rst │ │ └── classification.models.rst │ └── regression │ │ ├── regression.models.rst │ │ ├── regression.regression_model.rst │ │ └── regression.regression_py.rst │ ├── analysis.rst │ ├── analysis │ ├── analysis.analysis_py.rst │ ├── analysis.statisticAnalyzer.rst │ ├── analysis.timeAnalyzer.rst │ ├── statisticAnalyzer │ │ └── analysis.statisticAnalyzer_py.rst │ └── timeAnalyzer │ │ └── analysis.timeAnalyzer_py.rst │ ├── conf.py │ ├── data.rst │ ├── data │ └── data.rst │ ├── index.rst │ ├── ingestion.rst │ ├── ingestion │ ├── ingestion.CSVtoInflux.rst │ ├── ingestion.DataToCSV.rst │ ├── ingestion.influx.rst │ ├── ingestion.interface.rst │ └── ingestion.mongo.rst │ ├── integration.rst │ ├── integration │ ├── ML │ │ ├── integration.ML.RNN_AE.rst │ │ └── integration.ML_py.rst │ ├── integration.ML.rst │ ├── integration.integration_py.rst │ ├── integration.meta.rst │ └── integration.utils.rst │ ├── meta.rst │ ├── meta │ ├── meta.ingestion_meta_exploration.rst │ ├── meta.metaDataManager.rst │ ├── meta.metaFormatCheck.rst │ └── meta.metaGenerator.rst │ ├── pipeline.rst │ ├── pipeline │ └── pipeline.pipeline_py.rst │ ├── preprocessing.rst │ ├── preprocessing │ ├── preprocessing.errorDetection.rst │ ├── preprocessing.imputation.rst │ ├── preprocessing.preprocessing_py.rst │ └── preprocessing.refinement.rst │ ├── quality.rst │ ├── quality │ ├── quality.NaN.rst │ └── quality.quality_interface.rst │ ├── tool.rst │ ├── tool │ ├── tool.file_module.rst │ ├── tool.plot.rst │ └── tool.stats_table.rst │ ├── transformation.rst │ └── transformation │ ├── entropy │ ├── entropy.entropy.rst │ ├── entropy.entropy_py.rst │ ├── entropy.utils.rst │ └── entropy │ │ ├── entropy.MCRDE.rst │ │ └── entropy.MDE.rst │ ├── transformation.entropy.rst │ ├── transformation.featureExtension.rst │ ├── transformation.featureReduction.rst │ ├── transformation.general.rst │ ├── transformation.purpose.rst │ ├── transformation.sampling.rst │ ├── transformation.splitDataByCondition.rst │ ├── transformation.splitDataByCycle.rst │ └── transformation.type.rst ├── examples ├── 1. ML │ ├── 1-0. test data │ │ ├── 0-1. transformBetweenNumpyAndDF.ipynb │ │ └── 0-2. NumpyToInflux.ipynb │ ├── 1-1. Classification │ │ ├── 1. classification.dataSaving.ipynb │ │ ├── 2. classification.Training.ipynb │ │ ├── 3. classification.Testing.ipynb │ │ ├── 4. classification.Inference.ipynb │ │ ├── Models │ │ │ └── LSTM_cf │ │ │ │ ├── ActionClassificationLSTMCF │ │ │ │ └── trainX_ActionPatternData │ │ │ │ │ └── 2e9c4621b7536f7cda6354a674c5d77a │ │ │ │ │ └── model.pkl │ │ │ │ ├── ClassificationNocleanLSTM_cf │ │ │ │ └── trainX_ActionPatternData │ │ │ │ │ ├── 2c4ed4d8c401715309eb2ae4bcf85d8a │ │ │ │ │ └── model.pkl │ │ │ │ │ └── 2e9c4621b7536f7cda6354a674c5d77a │ │ │ │ │ └── model.pkl │ │ │ │ ├── New_ClassificationNocleanLSTM_cf │ │ │ │ └── trainX_ActionPatternData │ │ │ │ │ └── 2c4ed4d8c401715309eb2ae4bcf85d8a │ │ │ │ │ └── model.pkl │ │ │ │ ├── actionPattern_LSTM_cf_False │ │ │ │ └── classification_actionPattern_cleanLevel0_trainX │ │ │ │ │ ├── 035b06e2d9df4a58aa1dd8622746dd1f │ │ │ │ │ └── model.pkl │ │ │ │ │ └── 5047520731b0a365ac0d5de8a395a813 │ │ │ │ │ └── model.pkl │ │ │ │ ├── classification_actionPattern_LSTM_cf_cleanLevel0 │ │ │ │ └── classification_actionPattern_trainX_cleanLevel0 │ │ │ │ │ └── 5047520731b0a365ac0d5de8a395a813 │ │ │ │ │ └── model.pkl │ │ │ │ ├── classification_meta_test │ │ │ │ └── trainX_ActionPatternData │ │ │ │ │ └── 2c4ed4d8c401715309eb2ae4bcf85d8a │ │ │ │ │ └── model.pkl │ │ │ │ ├── test_classification_meta │ │ │ │ └── model.pkl │ │ │ │ └── test_meta_classification │ │ │ │ └── trainX_ActionPatternData │ │ │ │ └── 2c4ed4d8c401715309eb2ae4bcf85d8a │ │ │ │ └── model.pkl │ │ └── scaler │ │ │ ├── classification_actionPattern_cleanLevel0_trainX │ │ │ ├── minmax │ │ │ │ └── 2b219d77d5b069971addb3d7c728ec0d │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── classification_actionPattern_cleanLevel0_trainy │ │ │ ├── minmax │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── classification_actionPattern_trainX_cleanLevel0 │ │ │ └── 0 │ │ │ │ ├── minmax │ │ │ │ └── 2b219d77d5b069971addb3d7c728ec0d │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── classification_actionPattern_trainy_cleanLevel0 │ │ │ └── 0 │ │ │ │ ├── minmax │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ └── trainX_ActionPatternData │ │ │ └── NoClean │ │ │ ├── minmax │ │ │ └── 2b219d77d5b069971addb3d7c728ec0d │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ ├── 1-2. Regression │ │ ├── 1. regression.dataSaving.ipynb │ │ ├── 2. regression.Training.ipynb │ │ ├── 3. regression.Testing.ipynb │ │ ├── 4. regression.Inference.ipynb │ │ ├── JH_TEST_file_load.ipynb │ │ ├── JH_TEST_file_save.ipynb │ │ ├── Models │ │ │ ├── CNN_1D_rg │ │ │ │ └── CLUST │ │ │ │ │ └── Electronics │ │ │ │ │ └── 91bdf62f28aed66ed66131a647714e06_3923db46bf38313b935c61b7e06ee186 │ │ │ │ │ └── ca7a9c037e3472a21d16c0d9333203c4 │ │ │ │ │ └── model.pt │ │ │ ├── GRU_rg │ │ │ │ ├── CLUST │ │ │ │ │ └── Electronics │ │ │ │ │ │ ├── 917091dcce1d40d60de86fe14b814dd4_50e8c293ba54f07b0da892b5312e5bd5 │ │ │ │ │ │ └── ff29d441f0e3495200ba5ab86124700a │ │ │ │ │ │ │ └── model.pt │ │ │ │ │ │ └── 91bdf62f28aed66ed66131a647714e06_3923db46bf38313b935c61b7e06ee186 │ │ │ │ │ │ └── ff29d441f0e3495200ba5ab86124700a │ │ │ │ │ │ └── model.pt │ │ │ │ ├── Hs2SwineFarmWithWeatherTime_GRU_rg_False │ │ │ │ │ └── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainX │ │ │ │ │ │ └── c6f2ca56e27be1937ecf1e173440959e │ │ │ │ │ │ └── model.pkl │ │ │ │ ├── Hs2SwineFarmWithWeatherTime_GRU_rg_True │ │ │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel0_trainX │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ │ └── model.pkl │ │ │ │ │ └── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainX │ │ │ │ │ │ └── e0c69926ea63923d2dbafa434a27060e │ │ │ │ │ │ └── model.pkl │ │ │ │ ├── TestGRU_rg │ │ │ │ │ ├── ActionPatternData_trainX_NoClean │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ │ └── model.pkl │ │ │ │ │ └── IntegraionTrainX │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ └── model.pkl │ │ │ │ ├── energy_GRU_rg_False │ │ │ │ │ └── regression_energy_cleanLevel4_trainX │ │ │ │ │ │ ├── c6f2ca56e27be1937ecf1e173440959e │ │ │ │ │ │ └── model.pkl │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ └── model.pkl │ │ │ │ ├── energy_GRU_rg_True │ │ │ │ │ ├── regression_energy_cleanLevel0_trainX │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ │ └── model.pkl │ │ │ │ │ └── regression_energy_cleanLevel4_trainX │ │ │ │ │ │ ├── c6f2ca56e27be1937ecf1e173440959e │ │ │ │ │ │ └── model.pkl │ │ │ │ │ │ └── e0c69926ea63923d2dbafa434a27060e │ │ │ │ │ │ └── model.pkl │ │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_GRU_rg_modelCleanLevelTrue │ │ │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel0_trainX │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ │ └── model.pkl │ │ │ │ │ └── forecasting_Hs2SwineFarmWithWeatherTime_train_cleanLevel0 │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ └── model.pkl │ │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel0_trainX_GRU_rg_modelCleanLevelTrue │ │ │ │ │ └── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel0_trainX │ │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ │ └── model.pkl │ │ │ │ └── regression_energy_GRU_rg_modelCleanLevelTrue │ │ │ │ │ └── regression_energy_cleanLevel0_trainX │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ └── model.pkl │ │ │ ├── LSTM_FCNs_rg │ │ │ │ └── CLUST │ │ │ │ │ └── Electronics │ │ │ │ │ └── 91bdf62f28aed66ed66131a647714e06_3923db46bf38313b935c61b7e06ee186 │ │ │ │ │ └── 38bf821f4b6b6ca14d9086365efa82f7 │ │ │ │ │ └── model.pt │ │ │ └── LSTM_rg │ │ │ │ ├── CLUST │ │ │ │ └── Electronics │ │ │ │ │ └── 91bdf62f28aed66ed66131a647714e06_3923db46bf38313b935c61b7e06ee186 │ │ │ │ │ ├── 618f2ca7c380b25efe12bee2a2ab1869 │ │ │ │ │ └── model.pkl │ │ │ │ │ └── ff29d441f0e3495200ba5ab86124700a │ │ │ │ │ └── model.pt │ │ │ │ ├── EnergyLSTMRegression │ │ │ │ └── IntegraionTrainX │ │ │ │ │ ├── 0b43e233c1af48608573201c5d7c6859 │ │ │ │ │ └── model.pkl │ │ │ │ │ └── 618f2ca7c380b25efe12bee2a2ab1869 │ │ │ │ │ └── model.pkl │ │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_LSTM_rg_NoClean │ │ │ │ └── forecasting_Hs2SwineFarmWithWeatherTime_train_NoClean │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ └── model.pkl │ │ │ │ ├── regression_energy_LSTM_rg_cleanLevel0 │ │ │ │ └── regression_energy_trainX_cleanLevel0 │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ └── model.pkl │ │ │ │ └── regression_energy_LSTM_rg_modelCleanLevelTrue │ │ │ │ └── regression_energy_trainX_cleanLevel0 │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ └── model.pkl │ │ ├── infer_regression_array.npy │ │ ├── np_trans_text.txt │ │ └── scaler │ │ │ ├── 917091dcce1d40d60de86fe14b814dd4_50e8c293ba54f07b0da892b5312e5bd5 │ │ │ └── NoClean │ │ │ │ ├── minmax │ │ │ │ ├── 44e77c5a60a148deb89c5ef9a221a365 │ │ │ │ │ └── scaler.pkl │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── 91bdf62f28aed66ed66131a647714e06_3923db46bf38313b935c61b7e06ee186 │ │ │ ├── Clean │ │ │ │ ├── minmax │ │ │ │ │ ├── 44e77c5a60a148deb89c5ef9a221a365 │ │ │ │ │ │ └── scaler.pkl │ │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ └── NoClean │ │ │ │ ├── minmax │ │ │ │ ├── 44e77c5a60a148deb89c5ef9a221a365 │ │ │ │ │ └── scaler.pkl │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── ActionPatternData │ │ │ └── NoClean │ │ │ │ ├── minmax │ │ │ │ ├── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ │ │ └── scaler.pkl │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── IntegraionTrainX │ │ │ └── NoClean │ │ │ │ ├── minmax │ │ │ │ ├── 44e77c5a60a148deb89c5ef9a221a365 │ │ │ │ │ └── scaler.pkl │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel0_trainX │ │ │ ├── minmax │ │ │ │ └── c1b524a5c854f6e561c4764b1dfb4e6f │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel0_trainy │ │ │ ├── minmax │ │ │ │ └── 2ef658edf359871df2a5d6f044a18200 │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainX │ │ │ ├── minmax │ │ │ │ └── c1b524a5c854f6e561c4764b1dfb4e6f │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainy │ │ │ ├── minmax │ │ │ │ └── 2ef658edf359871df2a5d6f044a18200 │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_train_NoClean │ │ │ └── NoClean │ │ │ │ ├── robust │ │ │ │ └── c1b524a5c854f6e561c4764b1dfb4e6f │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_train_cleanLevel0 │ │ │ ├── minmax │ │ │ │ └── c1b524a5c854f6e561c4764b1dfb4e6f │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_trainy_cleanLevel0 │ │ │ ├── minmax │ │ │ │ └── 2ef658edf359871df2a5d6f044a18200 │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_trainy_cleanLevel0trainy │ │ │ ├── minmax │ │ │ │ └── 2ef658edf359871df2a5d6f044a18200 │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── regression_energy_cleanLevel0_trainX │ │ │ ├── minmax │ │ │ │ └── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── regression_energy_cleanLevel0_trainy │ │ │ ├── minmax │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── regression_energy_cleanLevel4_trainX │ │ │ ├── minmax │ │ │ │ └── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── regression_energy_cleanLevel4_trainy │ │ │ ├── minmax │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── regression_energy_trainX_cleanLevel0 │ │ │ ├── 0 │ │ │ │ ├── minmax │ │ │ │ │ └── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── minmax │ │ │ │ ├── 64abf548be708b102bc7d2457f6ef050 │ │ │ │ │ └── scaler.pkl │ │ │ │ └── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── regression_energy_trainy_cleanLevel0 │ │ │ ├── 0 │ │ │ │ ├── minmax │ │ │ │ │ ├── 0c1cba3029caf86203ea0692e8627069 │ │ │ │ │ │ └── scaler.pkl │ │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ │ └── scaler.pkl │ │ │ │ └── scaler_list.json │ │ │ ├── minmax │ │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ │ └── scaler.pkl │ │ │ └── scaler_list.json │ │ │ ├── regression_energy_trainy_cleanLevel0_trainy │ │ │ └── scaler_list.json │ │ │ └── regression_energy_trainy_cleanLevel0trainy │ │ │ └── scaler_list.json │ └── 2-1. KU_ModelTest │ │ └── ML_TestCode.ipynb ├── AD_API │ ├── 1.API_train.ipynb │ ├── 2.API_test.ipynb │ ├── 3.API_inference.ipynb │ └── data │ │ ├── inference_ver2.csv │ │ ├── test_ver2.csv │ │ └── train_ver2.csv ├── ML_API │ ├── 1-1.API_train.ipynb │ ├── 1-2.API_test.ipynb │ ├── 1-3.API_inference.ipynb │ ├── Models │ │ ├── GRU_cf │ │ │ └── classification_actionPattern_cleanLevel0_trainX_classification_GRU_cf_ │ │ │ │ └── classification_actionPattern_cleanLevel0_trainX │ │ │ │ └── model.pkl │ │ ├── GRU_rg │ │ │ └── regression_energy_cleanLevel4_trainX_regression_GRU_rg_ │ │ │ │ └── regression_energy_cleanLevel4_trainX │ │ │ │ └── model.pkl │ │ ├── LSTM_cf │ │ │ ├── Classification_API_TEST │ │ │ │ └── classification_actionPattern_cleanLevel0_trainX │ │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ │ └── model.pkl │ │ │ └── classification_actionPattern_cleanLevel0_trainX_classification_LSTM_cf_ │ │ │ │ └── classification_actionPattern_cleanLevel0_trainX │ │ │ │ └── model.pkl │ │ └── LSTM_rg │ │ │ ├── Forecasting_API_TEST │ │ │ └── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainX │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ └── model.pkl │ │ │ ├── Regression_API_TEST │ │ │ └── regression_energy_cleanLevel0_trainX │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ └── model.pkl │ │ │ ├── Test_regression_energy_cleanLevel0_trainX_LSTM_rg │ │ │ └── regression_energy_cleanLevel0_trainX │ │ │ │ └── model.pkl │ │ │ ├── api_test_regression_version │ │ │ └── regression_energy_cleanLevel0_trainX │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ └── model.pkl │ │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainX_regression_LSTM_rg_ │ │ │ └── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainX │ │ │ │ └── model.pkl │ │ │ ├── regression_api_test_code_test │ │ │ └── regression_energy_cleanLevel0_trainX │ │ │ │ └── d531eec11664669cff1f6a3ad9639012 │ │ │ │ └── model.pkl │ │ │ ├── regression_energy_cleanLevel0_trainX_regression_LSTM_rg_ │ │ │ └── regression_energy_cleanLevel0_trainX │ │ │ │ └── model.pkl │ │ │ ├── regression_energy_cleanLevel4_trainX_regression_LSTM_rg_ │ │ │ └── regression_energy_cleanLevel4_trainX │ │ │ │ └── model.pkl │ │ │ ├── temp_strawberry_test1 │ │ │ └── environment │ │ │ │ └── model.pkl │ │ │ └── test_cleanLevel4_trainX_regression_LSTM_rg_ │ │ │ └── regression_energy_cleanLevel4_trainX │ │ │ └── model.pkl │ ├── infer_classification_array.npy │ ├── infer_forecasting_array.npy │ ├── infer_regression_array.npy │ ├── meta.json │ └── scaler │ │ ├── classification_actionPattern_cleanLevel0_trainX │ │ ├── minmax │ │ │ ├── 079872eda84f909342ebe26284f50ecc │ │ │ │ └── scaler.pkl │ │ │ └── 2b219d77d5b069971addb3d7c728ec0d │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ ├── classification_actionPattern_cleanLevel0_trainy │ │ ├── minmax │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ ├── environment │ │ ├── minmax │ │ │ ├── 94a9486e0cb863994ed96c568358106a │ │ │ │ └── scaler.pkl │ │ │ └── c1a91a8e55d3f2ca71572dd197e6b292 │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainX │ │ ├── minmax │ │ │ ├── 2ef658edf359871df2a5d6f044a18200 │ │ │ │ └── scaler.pkl │ │ │ └── c1b524a5c854f6e561c4764b1dfb4e6f │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ ├── forecasting_Hs2SwineFarmWithWeatherTime_cleanLevel4_trainy │ │ ├── minmax │ │ │ └── 2ef658edf359871df2a5d6f044a18200 │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ ├── regression_energy_cleanLevel0_trainX │ │ ├── minmax │ │ │ └── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ ├── regression_energy_cleanLevel0_trainy │ │ ├── minmax │ │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ ├── regression_energy_cleanLevel4_trainX │ │ ├── minmax │ │ │ └── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ │ └── scaler.pkl │ │ └── scaler_list.json │ │ └── regression_energy_cleanLevel4_trainy │ │ ├── minmax │ │ └── f69156750a210491ffd4a67b605bc88b │ │ │ └── scaler.pkl │ │ └── scaler_list.json └── ML_Example │ ├── 1.training.ipynb │ ├── 2.test.ipynb │ ├── 3.inference.ipynb │ ├── Models │ └── LSTM_rg │ │ └── model │ │ └── regression_model_test │ │ └── model.pkl │ ├── infer_classification_array.npy │ ├── infer_forecasting_array.npy │ ├── infer_regression_array.npy │ └── scaler │ ├── regression_energy_cleanLevel4_trainX │ ├── minmax │ │ └── 900878d7bba6f2a4017d1c3399909ea7 │ │ │ └── scaler.pkl │ └── scaler_list.json │ └── regression_energy_cleanLevel4_trainy │ ├── minmax │ └── f69156750a210491ffd4a67b605bc88b │ │ └── scaler.pkl │ └── scaler_list.json ├── model.pkl ├── requirements.txt ├── setting └── __init__.py └── setup.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ClustProject/Clust/HEAD/.gitignore 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