Decision Function¶
Applies the decision function (if available) of a trained model to return a scalar for each class of outputs
Documentation¶
Predict confidence scores for samples with a model. Uses the models implementation of the .decision_function. The decision function is typically used in regression, to get the raw scores or distances from the decision boundary for each sample, rather than the predicted class labels. In multi-class classification, it returns either one score per class or a score matrix, depending on the model and configuration.
Definition¶
Input ports¶
- in-model
- X
Output ports¶
- Y
Implementation¶
- class node_application.DecisionFunction[source]
