DominantFrequencyChange#
- class DominantFrequencyChange[source]#
Check if dominant values have increased significantly between test and reference data.
Deprecated since version 0.8.1: The DominantFrequencyChange check is deprecated and will be removed in the 0.11 version.
- Parameters
- dominance_ratiofloat , default: 2
Next most abundant value has to be THIS times less than the first (0-inf).
- ratio_change_thresfloat , default: 1.5
The dominant frequency has to change by at least this ratio (0-inf).
- n_top_columnsint , optional
amount of columns to show ordered by feature importance (date, index, label are first).
- __init__(dominance_ratio: float = 2, ratio_change_thres: float = 1.5, n_top_columns: int = 10, **kwargs)[source]#
- __new__(*args, **kwargs)#
Methods
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Add new condition function to the check. |
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Add condition - require p value allowed per column to be greater than threshold. |
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Add condition - require change in the ratio of the dominant value to be less the threshold. |
Remove all conditions from this check instance. |
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Run conditions on given result. |
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Return check configuration (conditions' configuration not yet supported). |
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Return check object from a CheckConfig object. |
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Return check metadata. |
Name of class in split camel case. |
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Return parameters to show when printing the check. |
Remove given condition by index. |
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Run check. |
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Run check. |
