K Means Predict VAL

The function performs cluster prediction on test data based on the cluster model generated by KMeans VALIB function and generates a dataset containing progress report with two columns, a timestamp, and a progress message. There is an additional required input table that specifies the model used by the VALIB KMeans function.

Options

Accumulate

Specifies the names of one or more columns from the input teradataml DataFrame that can be passed along to the output teradataml DataFrame.

Cluster Column Name

Specifies the name of the column representing cluster identifier.

Fallback

Specifies an optional flag to indicate ('True'), that the scored output teradataml DataFrame has the fallback attribute (that is, have a mirrored copy).

Index Columns

Specifies the names of one or more columns in the input teradataml DataFrame to use as the primary index of the scored output DataFrame.

Output Schema

Output Schema, if Volatile is true then use user login as the schema.

Output Table

Output Table

VAL Location

VAL Location

Nodes

• String Configuration4 ×
• Column Filter Configuration2 ×
• Python Script2 ×
• Table Row to Variable2 ×
• Boolean Configuration1 ×
• Show all 13 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Quick Forms

Links

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