Score

Scores the model using given X and Y data. Exact semantics depends on the type of model (classifier, regressor, etc).

Configuration:

• default method

  Uses the default scoring method defined by the used model. Semantics of the scoring depend on the type of node

  (classifier, regressor, etc). Otherwise the problem is assumed to be a classification problem, a single predict call is made and extended information is given for each target. If model does not implement the predict function then a transform is used instead.

Inputs:

in-model : model

Input model

X : table

X

Y : table

Y

Outputs:

Score : table

Score

Input ports:

in-model:

model

Input model

X:

table

X

Y:

table

Y

Output ports:

Score:

table

Score

Configuration:

default method

Uses the default scoring method defined by the used model. Semantics of the scoring depend on the type of node

(classifier, regressor, etc). Otherwise the problem is assumed to be a classification problem, a single predict call is made and extended information is given for each target. If model does not implement the predict function then a transform is used instead.

class node_application.Score