cardea.Cardea

class cardea.Cardea

An interface class that ties the end-to-end system together.

Parameters

• es_loader (EntitySetLoader) – An entityset loader.

• featurization (Featurization) – A featurization class.

• modeler (Modeler) – A modeling class.

• problems (list) – A list of currently available prediction problems.

• chosen_problem (str) – The selected prediction problem or regression.

• es (featuretools.EntitySet) – The loaded entityset.

• target_entity (str) – The target entity for featurization.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()	Initialize self.
download_demo(name[, data_path])
evaluate(X, y[, test_size, shuffle, tune, …])	Evaluate the cardea pipeline.
fit(X, y[, tune, max_evals, scoring, verbose])	Train the cardea pipeline.
fit_predict(X, y[, tune, max_evals, …])	Train a cardea pipeline then make predictions.
generate_features(cutoff)	Returns a the calculated feature matrix.
list_feature_primitives()	Returns built-in primitive in Featuretools.
list_problems()	Returns a list of the currently available problems.
load(path)	Load an Orion instance from a pickle file.
load_entityset(data[, fhir])	Returns an entityset loaded with .csv files in data.
predict(X)	Get predictions from the cardea pipeline.
save(path)	Save this object using pickle.
select_pipeline(pipeline)	Select a pipeline.
select_problem(selection[, parameter])	Select a prediction problem and extract information.
train_test_split(X, y, test_size, shuffle)	Split the training dataset and the testing dataset.

cardea cardea.Cardea.load_entityset