SOTA Predictor

Predicts a class for each row of the input data table. The class value is a string and the values to predict the class for have to be double values. The SOTA Predictor can only be used with an input SOTA model, that used the class column during the training phase.

Options

Change prediction column name: When set, you can change the name of the prediction column.
Prediction Column: The possibly overridden column name for the predicted column. (The default is: Prediction (trainingColumn).)
Append columns with normalized class distribution: Compute the probabilities for the different classes.
Suffix for probability columns: Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Input Ports

: The model of the trained SOTA.
: Datatable containing the data to predict its classes.

Output Ports

: Datatable containing the input data and the predicted classes.

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