skcriteria.core.stats
module¶
Stats helper for the DecisionMatrix object.
- class skcriteria.core.stats.DecisionMatrixStatsAccessor(dm)[source]¶
Bases:
skcriteria.utils.accabc.AccessorABC
Calculate basic statistics of the decision matrix.
Kind of statistic to produce:
- ‘corr’Compute pairwise correlation of columns, excluding
NA/null values.
- ‘cov’Compute pairwise covariance of columns, excluding NA/null
values.
‘describe’ : Generate descriptive statistics.
‘kurtosis’ : Return unbiased kurtosis over requested axis.
- ‘mad’Return the mean absolute deviation of the values over the
requested axis.
‘max’ : Return the maximum of the values over the requested axis.
‘mean’ : Return the mean of the values over the requested axis.
- ‘median’Return the median of the values over the requested
axis.
‘min’ : Return the minimum of the values over the requested axis.
- ‘pct_change’Percentage change between the current and a prior
element.
- ‘quantile’Return values at the given quantile over requested
axis.
- ‘sem’Return unbiased standard error of the mean over requested
axis.
‘skew’ : Return unbiased skew over requested axis.
‘std’ : Return sample standard deviation over requested axis.
‘var’ : Return unbiased variance over requested axis.