HDDResults#

class HDDResults(path)[source]#

HDD results.

Attributes:

path: Path for results on HDD.

Methods

`check_fitted_strategy_exists`(strategy_name, ...)	Check that fitted strategy exists.
`check_predictions_exist`(strategy_name, ...)	Check that predictions exist.
`load_fitted_strategy`(strategy_name, ...)	Load saved (fitted) strategy.
`load_predictions`(cv_fold, train_or_test)	Load saved predictions.
`save`()	Save results object as master file.
`save_fitted_strategy`(strategy, dataset_name, ...)	Save fitted strategy.
`save_predictions`(strategy_name, ...[, ...])	Save the predictions of trained estimators.

save_predictions(strategy_name, dataset_name, y_true, y_pred, y_proba, index, cv_fold, train_or_test, fit_estimator_start_time=None, fit_estimator_end_time=None, predict_estimator_start_time=None, predict_estimator_end_time=None)[source]#

Save the predictions of trained estimators.

Parameters:

strategy_namestring: Name of fitted strategy
dataset_name: string: Name of dataset on which the strategy is fitted
y_truenumpy array: array with true labels
y_prednumpy array: array of predicted labels
y_probanumpy array: array of probabilities associated with the predicted values
indexnumpy array: dataset indices of the y_true data points
fit_estimator_start_timepandas timestamp (default=None): timestamp when fitting the estimator began
fit_estimator_end_timepandas timestamp (default=None): timestamp when fitting the estimator ended
predict_estimator_start_timepandas timestamp (default=None): timestamp when the estimator began making predictions
predict_estimator_end_timepandas timestamp (default=None): timestamp when the estimator finished making predictions

load_predictions(cv_fold, train_or_test)[source]#: Load saved predictions.

save_fitted_strategy(strategy, dataset_name, cv_fold)[source]#: Save fitted strategy.

load_fitted_strategy(strategy_name, dataset_name, cv_fold)[source]#: Load saved (fitted) strategy.

check_fitted_strategy_exists(strategy_name, dataset_name, cv_fold)[source]#: Check that fitted strategy exists.

check_predictions_exist(strategy_name, dataset_name, cv_fold, train_or_test)[source]#: Check that predictions exist.

property path[source]#: Path for results on HDD.

save()[source]#: Save results object as master file.