MultiLayerPerceptron Predictor
Based on a trained MultiLayerPerceptron-model given at the model inport
of this node, the expected output values are computed. If the output
variable is nominal, the output of each neuron and the class of the winner
neuron are produced. Otherwise, the regression value is computed.
Filter out missing values before using this node.
Dialog 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 probability value column per class instance
-
When classification is done and this option is set, the class probabilities are appended.
- Suffix for probability columns
-
Suffix for the normalized distribution columns. Their names are like:
P (trainingColumn=value).
Ports
Input Ports
0 |
Trained MLP Neural Network |
1 |
Datatable with test data to classify |
Output Ports
0 |
Datatable with classified data |
This node is contained in KNIME Base Nodes
provided by KNIME GmbH, Konstanz, Germany.