AutoML_Alex:用于表格数据的最先进的自动机器学习python库
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2021-04-01
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AutoML_Alex-master.zip （64个子文件） 
AutoML_Alex-master 
setup.py 2KB .gitignore 2KB Dockerfile 569B
requirements.txt 272B .devcontainer devcontainer.json 1KB LICENSE 1KB CHANGELOG.md 4KB _config.yml 25B examples 03_Models.ipynb 403KB prod_sample Dockerfile 569B fit_model.ipynb 15KB requirements.txt 6B model AutoML_tmp 
DataPrepare_1_dump.zip 13KB model_5.zip 1.84MB DataPrepare_2_dump.zip 408KB AutoML_model.zip 4.77MB dataset openml_id_543_train.csv 3.55MB openml_id_543_test.csv 1.16MB docker-compose.yaml 164B main.py 1KB 04_ModelsReview.ipynb 14KB 02_Data_Cleaning_and_Encoding_(DataPrepare).ipynb 137KB 01_Quick_Start.ipynb 15KB 05_BestSingleModel.ipynb 25KB img 
shema.png 31KB cv.png 256KB
magic.gif 661KB data-cleaning.png 22KB dashboard.gif 2.05MB boxplot.png 58KB dashboard_2.gif 2.08MB .deepsource.toml 106B automl_alex automl_alex.py 23KB __init__.py 239B _logger.py 751B __version__.py 22B cross_validation.py 17KB models __init__.py 636B model_lightgbm.py 9KB sklearn_models.py 17KB model_catboost.py 6KB model_xgboost.py 7KB _base.py 12KB _encoders.py 1KB optimizer.py 29KB data_prepare.py 47KB README.md 5KB tests test_optimizer.py 3KB test_data_prepare.py 5KB __init__.py 0B test_models.py 3KB test_automlalex_benchmark.py 4KB test_cross_validation.py 3KB test_alexautoml.py 3KB docs 
optimizer.html 89KB data_prepare.html 159KB cross_validation.html 56KB models model_catboost.html 34KB model_xgboost.html 34KB index.html 8KB sklearn_models.html 85KB model_lightgbm.html 41KB index.html 8KB automl_alex.html 96KB资源评论
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