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Improve models generation #96

Merged
merged 34 commits into from
Apr 15, 2021
Merged

Improve models generation #96

merged 34 commits into from
Apr 15, 2021

Commits on Jan 25, 2021

  1. Refactor model script I/O

    @HealthyPear
    HealthyPear committed Jan 25, 2021
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  2. Improve input features and add missing CTAMARS ones

    @HealthyPear
    HealthyPear committed Jan 25, 2021
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  3. Started improving model script (see complete commit message for details) 

    - refactored I/O from protopipe.mva.io
- add Random Forest energy regressor
- explicit all class options from scikit-learn
- better organized information
- smaller fixes
    @HealthyPear
    HealthyPear committed Jan 25, 2021
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Commits on Apr 12, 2021

  1. Update from master and solve conflicts

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  2. clarify CLI help

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  3. small format changes to protopipe.mva.utils.prepare_data

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  4. simplify a condition in TrainModel

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  5. Test improvement of models initialization

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  6. allow fit of single model (no GridSearchCV)

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  7. small formatting change

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  8. Add example configuration file for RandomForestRegressor

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  9. Add example configuration file for RandomForestClassifier

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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  10. fix input signal file name key

    @HealthyPear
    HealthyPear committed Apr 12, 2021
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Commits on Apr 14, 2021

  1. Add testing files for RandomForestClassifier and RandomForestRegressor

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  2. Add test configuration file for AdaBoostRegressor (replaces regressor)

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  3. Add AdaBoostRegressor configuration file

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  4. Update model output

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  5. Update example config files for RandomForest-based algorithms

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  6. Improve protopipe.mva.utils.prepare_data

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  7. Improve and simplify protopipe-MODEL

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  8. Modify protopipe-TRAINING according to new version of protopipe-MODEL

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  9. Modify protopipe-DL2 according to modification to protopipe-MODEL

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  10. Update test configuration files

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  11. Update test pipeline

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  12. Remove obsolete MVA example/test configuration files

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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  13. Update documentation

    @HealthyPear
    HealthyPear committed Apr 14, 2021
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Commits on Apr 15, 2021

  1. Rename some regressor features

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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  2. Remove code leftovers from DL2 script

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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  3. Fix check for classification features

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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  4. Improve check for model type

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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  5. Remove old test configuration files for regressor and classifier

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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  6. Fix comment/description in configuration files

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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  7. Fix names of energy-releated features

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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  8. Check if label is explicitly None because it can be also 0

    @HealthyPear
    HealthyPear committed Apr 15, 2021
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