vtreat Learner

This component uses python package vtreat to create a transform object and prepare the input table for ML problems.

Github: https://github.com/WinVector/pyvtreat

Options

Input variables only:

use indicators variables in your model only. %%00010%%00010(vtreat prepared variables types: clean_copy, missing_indicator, and indicator_code)

Filter to recommended variables:

Filter to vtreat recommended variables%%00010%%00010This is ignored when problem type is 'unsupervised'

Ignore Columns

columns to ignore and passthrough treated

Target Column:

Select the column containing the value to be learned. Rows with missing values in this column are filtered out during the learning process.%%00010%%00010Selection is ignored if problem type is 'unsupervised'

Problem Type:

Type of ML problem

Nodes

• Rule Engine Variable6 ×
• CASE Switch End3 ×
• CASE Switch Start3 ×
• Boolean Configuration2 ×
• Extract Variables (Data)2 ×
• Show all 28 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Conda Integration
• FeatureKNIME Javasnippet
• FeatureKNIME Quick Forms

Links

• No links available