param for the estimator to be cross-validated
param for the estimator to be cross-validated
param for estimator param maps
param for estimator param maps
param for the evaluator for selection
param for the evaluator for selection
Returns the documentation of all params.
Returns the documentation of all params.
Fitting parameters, such that parent.
Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.
Checks whether a param is explicitly set.
Checks whether a param is explicitly set.
param for number of folds for cross validation
param for number of folds for cross validation
Internal param map.
Internal param map.
Returns all params.
Returns all params.
The parent estimator that produced this model.
The parent estimator that produced this model.
Transforms the dataset with provided parameter map as additional parameters.
Transforms the dataset with provided parameter map as additional parameters.
input dataset
additional parameters, overwrite embedded params
transformed dataset
Transforms the dataset with provided parameter map as additional parameters.
Transforms the dataset with provided parameter map as additional parameters.
input dataset
additional parameters, overwrite embedded params
transformed dataset
Transforms the dataset with optional parameters.
Transforms the dataset with optional parameters.
input datset
optional list of param pairs, overwrite embedded params
transformed dataset
Transforms the dataset with optional parameters
Transforms the dataset with optional parameters
input dataset
optional list of param pairs, overwrite embedded params
transformed dataset
Derives the output schema from the input schema and parameters, optionally with logging.
Derives the output schema from the input schema and parameters, optionally with logging.
Validates parameter values stored internally.
Validates parameter values stored internally. Raise an exception if any parameter value is invalid.
Validates parameter values stored internally plus the input parameter map.
Validates parameter values stored internally plus the input parameter map. Raises an exception if any parameter is invalid.
:: AlphaComponent :: Model from k-fold cross validation.