ostatslib.actions.classifiers.ensembles#
Ensembles classification actions module
Classes
AdaBoost classification action. |
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Bagging classification action. |
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ExtraTrees classification action. |
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Gradient Boosting classification action. |
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Gradient Boosting with 100 estimators classification action. |
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Random Forest classification with 100 trees in the forest action. |
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Random Forest classification action. |
- class AdaBoostClassification[source]#
AdaBoost classification action. Fits a Scikit-Learn AdaBoostClassifier https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html
- class BaggingClassification[source]#
Bagging classification action. Fits a Scikit-Learn BaggingClassifier https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html
- class ExtraTreesClassification[source]#
ExtraTrees classification action. Fits a Scikit-Learn ExtraTreesClassifier https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html
- class GradientBoostingClassification[source]#
Gradient Boosting classification action. Fits a XGBoostClassfier https://xgboost.readthedocs.io/en/stable/python/examples/basic_walkthrough.html
- class N100GradientBoostingClassification[source]#
Gradient Boosting with 100 estimators classification action. Fits a XGBoostClassfier with parameter n_estimators=100 https://xgboost.readthedocs.io/en/stable/python/examples/basic_walkthrough.html
- class N100RandomForestClassification[source]#
Random Forest classification with 100 trees in the forest action. Fits a Scikit-Learn RandomForestClassifier with parameter n_estimators=100 https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
- class RandomForestClassification[source]#
Random Forest classification action. Fits a Scikit-Learn RandomForestClassifier https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html