org.apache.spark.ml.classification
Field in "predictions" which gives the features of each instance as a vector.
Field in "predictions" which gives the features of each instance as a vector.
Field in "predictions" which gives the true label of each instance.
Field in "predictions" which gives the true label of each instance.
objective function (scaled loss + regularization) at each iteration.
Dataframe outputted by the model's transform
method.
Dataframe outputted by the model's transform
method.
Field in "predictions" which gives the calibrated probability of each instance as a vector.
Field in "predictions" which gives the calibrated probability of each instance as a vector.
Number of training iterations until termination
Abstraction for multinomial Logistic Regression Training results. Currently, the training summary ignores the training weights except for the objective trace.