TD_​SimpleImputeFit

Imputation is the process of replacing missing data with substituted values. TD_SimpleImputeFit is a function to find out such substituted values based on the user input. Available options are Min, Max, Mean, Median, Mode, <Literal-value>.

Options

ColsForLiterals

Specifies the input table columns for which Literals needs to be imputed

ColsForStats

Specifies the input table columns for which stats needs to be calculated

Literals (strings seperated by new line)

Specify the Literal value to be imputed on input table columns

PartitionColumn

Specifies the input table colum on which partition needs to be done

Stats

Specify the Stats to be computed on input table columns

Output Schema

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

Output Table

Output Table

VAL Location

VAL Location

Volatile

Specifies whether the table should be a VOLATILE table. If true, then the table is automatically deleted, otherwise it is users responsibility to remove or clean it up for space.

Nodes

• String Configuration4 ×
• Table Row to Variable4 ×
• Column Filter Configuration3 ×
• Python Script2 ×
• Transpose2 ×
• Show all 14 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Quick Forms

Links

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