mlproject.corr_analysis.dependency_graph

mlproject.corr_analysis.dependency_graph#

Functions for evaluating dependencies between feature sets and target variables using RandomForestRegressor and K-Fold cross-validation.

Functions

`evaluate_feature_set_relationships`	Computes cross-validated regression metrics (mean ± std) between two feature sets and a target.
`evaluate_feature_set_to_feature`	Train RandomForestRegressor models to predict each column in Y_targets from X_source using K-Fold cross-validation.
`evaluate_features_to_target`	Predict a target from features using KFold cross-validation.

Classes