Segment Filters
Segment filters are used to filter out segments based on statistical properties before calling feature generation and classification.
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Segment Energy Threshold Filter Takes the absolute value of each point and compares it with the threshold. If no values are above the threshold the segment is filtered.
For cascade features, if a segment is filtered the feature banks will be reset.
- Parameters
input_column (str) – the name of the column to use for filtering
threshold (int16) – threshold value to filter against
- Returns
The filtered dataframe.
- Return type
DataFrame
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Segment Filter MSE Filters out groups that does not pass the MSE threshold.
- Parameters
input_column (str) – the name of the column to use for filtering
MSE_target (float) – filter target value (default is -1.0)
MSE_threshold (float) – filter threshold value (default is 0.01)
- Returns
The filtered dataframe.
- Return type
DataFrame
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Segment Filter Threshold Filters out segments that have values greater or less than the specified threshold.
- Parameters
input_column (str) – the name of the column to use for filtering
threshold (int16) – threshold value to filter against
comparison (int) – 0 for less than, 1 for greater than
- Returns
The filtered dataframe.
- Return type
DataFrame