Sklearn Classification Predictor (Labs)

The Classification Predictor Node accepts a trained model from any of the classification learner nodes and computes the predicted class for each row of the given input table. Optionally, class probability estimates for each row can also be predicted.

It is only executable if the test data contains the columns that are used by the learner model.

Options

Output

Custom prediction column name

If no name is specified for the prediction column, it will default to <target_column_name>_pred.

Predict probability estimates

Predict probability estimates for each target class.

Suffix for probability columns

Allows to add a suffix for the class probability columns.

Input Ports

Icon

Trained classification predictor model.

Icon

All feature columns used for training must also be present in the table for prediction.

Output Ports

Icon

The input table concatenated with a predictions column and optionally class probabilities.

Popular Predecessors

  • No recommendations found

Popular Successors

  • No recommendations found

Views

This node has no views

Workflows

  • No workflows found

Links

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.