cardea.modeling¶

Modeler¶

`Modeler`(pipeline, problem_type)	A class responsible for executing various Machine Learning Pipelines using MLBlocks.
`Modeler.train_test_split`(X, y[, test_size, …])	Split the training dataset and the testing dataset.
`Modeler.fit`(X, y[, tune, max_evals, …])	Fit and select the pipelines.
`Modeler.predict`(X)	Predict the input data
`Modeler.fit_predict`(X, y[, tune, max_evals, …])	Fit the pipeline and make predictions
`Modeler.evaluate`(X, y[, test_size, shuffle, …])	Evaluate the pipelines.
`Modeler.save`(path)	Save the object in a pickle file.
`Modeler.load`(path)	Load a Modeler object from a pickle file