mlrl.common.cython.feature_binning module¶

class mlrl.common.cython.feature_binning.EqualFrequencyFeatureBinningConfig¶

Allows to configure a method that assigns numerical feature values to bins, such that each bins contains approximately the same number of values.

get_bin_ratio() → float¶

Returns the percentage that specifies how many bins are used.

get_max_bins() → int¶

Returns the maximum number of bins that is used.

get_min_bins() → int¶

Returns the minimum number of bins that is used.

Sets the percentage that specifies how many bins should be used.

Parameters:: binRatio – The percentage that specifies how many bins should be used, e.g., if 100 values are available, a percentage of 0.5 means that ceil(0.5 * 100) = 50 bins should be used. Must be in (0, 1)
Returns:: An EqualFrequencyFeatureBinningConfig that allows further configuration of the method that assigns numerical feature values to bins

Sets the maximum number of bins that should be used.

Parameters:: max_bins – The maximum number of bins that should be used. Must be at least the minimum number of bins or 0, if the maximum number of bins should not be restricted
Returns:: An EqualFrequencyFeatureBinningConfig that allows further configuration of the method that assigns numerical feature values to bins

Sets the minimum number of bins that should be used.

Parameters:: min_bins – The minimum number of bins that should be used. Must be at least 2
Returns:: An EqualFrequencyFeatureBinningConfig that allows further configuration of the method that assigns numerical feature values to bins

class mlrl.common.cython.feature_binning.EqualWidthFeatureBinningConfig¶

Allow to configure a method that assigns numerical feature values to bins, such that each bin contains values from equally sized value ranges.