skcriteria.core.stats
module¶
Stats helper for the DecisionMatrix object.
- class skcriteria.core.stats.DecisionMatrixStatsAccessor(dm)[source]¶
Bases:
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.