Package org.apache.spark.ml.evaluation


package org.apache.spark.ml.evaluation
  • Classes
    Class
    Description
    Evaluator for binary classification, which expects input columns rawPrediction, label and an optional weight column.
    Evaluator for clustering results.
    Metrics for clustering, which expects two input columns: prediction and label.
    Abstract class for evaluators that compute metrics from predictions.
    Evaluator for multiclass classification, which expects input columns: prediction, label, weight (optional) and probability (only for logLoss).
    :: Experimental :: Evaluator for multi-label classification, which expects two input columns: prediction and label.
    :: Experimental :: Evaluator for ranking, which expects two input columns: prediction and label.
    Evaluator for regression, which expects input columns prediction, label and an optional weight column.