TD_​OutlierFilterFit

OutlierFilterFit function calculates the lower_percentile, upper_percentile, count of rows and median for all the TargetColumns provided by the user. These metrics for each column helps the function OutlierTransform detect outliers in the input table. It also stores parameters from arguments into a FIT table used during transformation.

Options

GroupColumns

Specifies the input table column for which stats calculation needs to be grouped together

IQRMultiplier

Specify the multiplier of interquartile range for 'Tukey' filtering.

LowerPercentile

Specify lower range of percentile to be used to detect if value is outlier or not

OutlierMethod

Specify one of the following methods of filtering outliers

PercentileMethod

Specify the teradata percentile methods to be used for calculation.

RemoveTail

Specify the side of the distribution to filter.

ReplacementValue

Specify one of the following methods of filtering outliers

Output Schema

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

Output Table

Output Table

VAL Location

VAL Location

TargetColumns

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

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.

UpperPercentile

Specify upper range of percentile to be used to detect if value is outlier or not

Nodes

• Single Selection Configuration4 ×
• Double Configuration3 ×
• String Configuration3 ×
• Column Filter Configuration2 ×
• Python Script2 ×
• Show all 15 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Quick Forms

Links

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