ml.combust.mleap.core.classification
trees in the gradient boost model
weights of each tree
number of features
Alias for ml.combust.mleap.core.classification.ClassificationModel#predict.
feature vector
prediction
Number of classes this model predicts.
Number of classes this model predicts.
2 indicates this is a binary classification model. Greater than 2 indicates a multinomial classifier.
number of features
Number of trees in the ensemble
Number of trees in the ensemble
Predict the class taking into account threshold.
Predict the class taking into account threshold.
features for prediction
prediction with threshold
Predict the class without taking into account threshold.
Predict the class without taking into account threshold.
features for prediction
probability that prediction is the predictable class
Predict class and probability.
Predict class and probability.
features to predict
(prediction, probability)
Threshold for binary classifiers.
Threshold for binary classifiers.
If the prediction probability is over this value, then the prediction is pegged to 1.0. Otherwise the prediction is pegged to 0.0.
weights of each tree
weights of each tree
trees in the gradient boost model
trees in the gradient boost model
Class for a gradient boost classifier model.
trees in the gradient boost model
weights of each tree
number of features