org.apache.spark.ml.evaluation
Evaluates the output.
Evaluates the output.
a dataset that contains labels/observations and predictions.
parameter map that specifies the input columns and output metrics
metric
Returns the documentation of all params.
Returns the documentation of all params.
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 metric name in evaluation
Internal param map.
Internal param map.
Returns all params.
Returns all params.
param for score column name
param for score column name
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 :: Evaluator for binary classification, which expects two input columns: score and label.