AlphaPy：使用Python，scikit-learn，Keras，XGBoost，LightGBM和CatBoost的自动化机器学习[AutoML] （115个子文件） 
make.bat 811B ncaab_game_scores_1g.csv 164KB train.csv 60KB test.csv 28KB gender_submission.csv 3KB amzn_intraday.csv 3KB ncaa.csv 2KB ncaa.csv 2KB amzn_daily.csv 1KB .gitignore 291B A Trading Model.ipynb 13KB A Trading System.ipynb 12KB
titanic.jpg 10KB LICENSE 11KB alphapy.log 21KB Makefile 604B CODE_OF_CONDUCT.md 3KB CONTRIBUTING.md 2KB bug_report.md 834B feature_request.md 595B custom.md 126B
pyfolio.png 485KB kaggle.png 85KB plot_calibration.png 68KB rrover_calibration.png 57KB rrover_learning_curve.png 47KB ncaab_roc_curve.png 42KB plot_roc_curve.png 41KB plot_learning_curve.png 41KB system_pipeline.png 41KB system_pipeline.png 41KB rrover_roc_curve.png 36KB amzn.png 32KB plot_confusion_matrix.png 28KB returns.png 25KB plot_feature_importances.png 23KB model_pipeline.png 20KB model_pipeline.png 20KB model_blend.png 20KB sports_pipeline.png 18KB sports_pipeline.png 18KB features.png 16KB model_best.png 14KB market_pipeline.png 12KB market_pipeline.png 12KB alphapy_pipeline.png 11KB model.py 43KB features.py 41KB transforms.py 37KB plots.py 33KB portfolio.py 30KB sport_flow.py 29KB data.py 25KB calendrical.py 24KB variables.py 15KB __main__.py 14KB market_flow.py 13KB estimators.py 12KB system.py 11KB frame.py 10KB optimize.py 9KB analysis.py 8KB utilities.py 5KB conf.py 5KB group.py 5KB globals.py 4KB alias.py 4KB setup.py 2KB space.py 2KB __init__.py 0B project.rst 13KB market_flow.rst 9KB pipelines.rst 9KB market.rst 6KB ncaab.rst 5KB introduction.rst 4KB sport_flow.rst 3KB system.rst 3KB README.rst 3KB kaggle.rst 3KB alphapy.rst 3KB install.rst 1KB command.rst 1006B support.rst 905B quickstart.rst 707B index.rst 682B modules.rst 58B algos.yml 10KB algos.yml 10KB algos.yml 10KB algos.yml 10KB algos.yml 9KB market.yml 7KB rrover_market.yml 7KB market.yml 7KB model.yml 4KB market_model.yml 4KB rrover_model.yml 4KB sport_model.yml 3KB ncaab_model.yml 3KB共 115 条
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