TD_​CONVOLVE

This function, the TD_CONVOLVE, takes two series as inputs: one representing the source series to be filtered; and, the other series being the filter kernel itself. The resultant output, is the source series with the kernel filter applied.

Options

ALGORITHM

Optional Parameter. Mainly a feature intended for testing. Bypasses the internal planning and forces a particular convolution algorithm to be applied. Choices are: 'CONV_SUMMATION', or 'CONV_DFFT'. If an attempt is made to force the CONV_SUMMATION approach when either input series has greater than 64 entries, a SQL error is returned to the caller. When this parameter is NOT PRESENT, the internal planning logic will select the best option, dependent upon the number of entries in the source input series.

InputFormat

Specifies the input mode supported by the function.

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 Configuration3 ×
• Python Script2 ×
• Single Selection Configuration2 ×
• Boolean Configuration1 ×
• Component Input1 ×
• Show all 12 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Quick Forms

Links

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