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.

Best Friends (Incoming)

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Best Friends (Outgoing)

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Installation

To use this node in KNIME, install KNIME Base nodes from the following update site:

A zipped version of the software site can be downloaded here.

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Developers

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