ostatslib.actions.regressors.ensembles

Ensembles regression actions module

Classes

AdaBoostExponentialLossRegression()	AdaBoost regression action with exponential loss.
AdaBoostRegression()	AdaBoost regression action with linear loss.
AdaBoostSquareLossRegression()	AdaBoost regression action with square loss.
BaggingRegression()	Bagging regression action.
ExtraTreesRegression()	ExtraTrees regression action.
GradientBoostingRegression()	Gradient Boosting regression action.
N100EstimatorsGradientBoostingRegression()	Gradient Boosting with 100 estimators regression action.
N100EstimatorsRandomForestRegression()	Random Forest regression with 100 trees in the forest action.
RandomForestRegression()	Random Forest regression action.

class AdaBoostExponentialLossRegression

AdaBoost regression action with exponential loss. Fits a Scikit-Learn AdaBoostRegressor https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html

class AdaBoostRegression

AdaBoost regression action with linear loss. Fits a Scikit-Learn AdaBoostRegressor https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html

class AdaBoostSquareLossRegression

AdaBoost regression action with square loss. Fits a Scikit-Learn AdaBoostRegressor https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html

class BaggingRegression

Bagging regression action. Fits a Scikit-Learn BaggingRegressor https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html

class ExtraTreesRegression

ExtraTrees regression action. Fits a Scikit-Learn ExtraTreesRegressor https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html

class GradientBoostingRegression

Gradient Boosting regression action. Fits a XGBoostClassfier https://xgboost.readthedocs.io/en/stable/python/examples/basic_walkthrough.html

class N100EstimatorsGradientBoostingRegression

Gradient Boosting with 100 estimators regression action. Fits a XGBRegressor with parameter n_estimators=100 https://xgboost.readthedocs.io/en/stable/python/examples/basic_walkthrough.html

class N100EstimatorsRandomForestRegression

Random Forest regression with 100 trees in the forest action. Fits a Scikit-Learn RandomForestRegressor with parameter n_estimators=100 https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html

class RandomForestRegression

Random Forest regression action. Fits a Scikit-Learn RandomForestRegressor https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html