This category contains 12 nodes.
Aggregates the results of conformal prediction training for classification or regression: calibration tables and models.
Splits the input table into two new tables: training and calibration.
Creates a calibration table with ranking for further calibration of the test data sets.
Creates a calibration table with ranking for further calibration of the test data sets.
Produces predictions based on the calibration table and the significance level provided by the user.
Aggregates the results of conformal prediction for conformal classification or conformal regression.
Iterates over Model and Calibration table pairwise.
Calculates the table with p-values for test data based on the provided calibration table.
The node returns the prediction of conformal regression model based on the regression model and conformal regression calibration table.
Creates a calibration table with ranking for further calibration of the test data sets.
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