org.apache.spark.ml.classification
Returns the documentation of all params.
Returns the documentation of all params.
param for features column name
param for features column name
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 label column name
param for label column name
param for max number of iterations
param for max number of iterations
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.
param for prediction column name
param for prediction column name
param for regularization parameter
param for regularization parameter
param for score column name
param for score column name
param for threshold in (binary) prediction
param for threshold in (binary) prediction
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.
Validates and transforms the input schema with the provided param map.
Validates and transforms the input schema with the provided param map.
input schema
additional parameters
whether this is in fitting
output schema
:: AlphaComponent :: Model produced by LogisticRegression.