Voting Classifier

Uses voting to select answer from multiple classifiers. Add additional input ports for models by right-clicking on node and selecting “Create Input Port > models”

Documentation

Uses voting to select answer from multiple classifiers. Add additional input ports for models by right-clicking on node and selecting “Create Input Port > models”

Configuration:

• names

  Comma separated list of model names, eg. Rescale, SVC

• copies

  Number of copies to make of each input model

• n_jobs

  The number of jobs to run in parallel for fit. None means 1 unless in a joblib.parallel_backend context. -1 means using all processors. See n_jobs for more details.

  New in version 0.18.

• voting

  If ‘hard’, uses predicted class labels for majority rule voting. Else if ‘soft’, predicts the class label based on the argmax of the sums of the predicted probabilities, which is recommended for an ensemble of well-calibrated classifiers.

Attributes:

• classes_

  The classes labels.

Input ports:

modelsmodel

models

Output ports:

out-modelmodel

Output model

Definition

Input ports

models

1 - inf, model

models

Output ports

out-model

model

Output model

class node_ensemble.VotingClassifier