Automated Feature Generation

This component generates new features into the data by performing the following transformations/calculations on the existing columns:
1. Simple transformations (exp, square, cubic, tanh)
2. Distance to the cluster centers when data are clustered into four clusters
3. Interaction effects (sum, product, subtraction, division) between features

Options

Select columns for feature learning:
Select to which columns feature learning methods are applied
Select feature generation techniques:
Select which techniques to apply to generate new features

Input Ports

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Training data to apply feature engineering
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Test data to apply feature engineering

Output Ports

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Training data to which the generated features have been added
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Test data to which the generated features have been added
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No description for this port available.

Nodes

Extensions

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