Tools to streamline the machine learning process.
Utilizes sklearn and its estimator API to fit multiple regression models to the provided data. It also includes an evaluate method that provides a dictionary of metrics where you can access the particular score of a model. The following code would give me the f1_score of the supportVectorRegressor model.
modelEvaluations = MultiEstimatorRegressor.evaluate()
print(modelEvaluations["supportVectorRegressor"]["f1_score"])
And if I wanted to output a dictionary containing all evaluation metrics of the supportVectorRegressor model, I would simply use the "supportVectorRegressor" key.
print(modelEvaluations["supportVectorRegressor"])