sktime.benchmarking.base

class sktime.benchmarking.base.BaseDataset(name)[source]

Bases: object

load()[source]
property name[source]
class sktime.benchmarking.base.BaseResults[source]

Bases: object

check_fitted_strategy_exists(strategy, dataset_name, cv_fold)[source]
check_predictions_exist(strategy, dataset_name, cv_fold, train_or_test)[source]
load_fitted_strategy(strategy_name, dataset_name, cv_fold)[source]

Load fitted strategies for all datasets and strategies iteratively

load_predictions(cv_fold, train_or_test)[source]

Loads predictions for all datasets and strategies iteratively

save()[source]

Save results object as master file

save_fitted_strategy(strategy, dataset_name, cv_fold)[source]
save_predictions(strategy_name, dataset_name, y_true, y_pred, y_proba, index, cv_fold, train_or_test)[source]
class sktime.benchmarking.base.HDDBaseDataset(path, name)[source]

Bases: sktime.benchmarking.base.BaseDataset

property path[source]
class sktime.benchmarking.base.HDDBaseResults(path)[source]

Bases: sktime.benchmarking.base.BaseResults

property path[source]
save()[source]

Save results object as master file