Statistics

Order statistics

mars.tensor.amin	Return the minimum of a tensor or minimum along an axis.
mars.tensor.amax	Return the maximum of an array or maximum along an axis.
mars.tensor.nanmin	Return minimum of a tensor or minimum along an axis, ignoring any NaNs.
mars.tensor.nanmax	Return the maximum of an array or maximum along an axis, ignoring any NaNs.
mars.tensor.ptp	Range of values (maximum - minimum) along an axis.

Average and variances

mars.tensor.average	Compute the weighted average along the specified axis.
mars.tensor.mean	Compute the arithmetic mean along the specified axis.
mars.tensor.std	Compute the standard deviation along the specified axis.
mars.tensor.var	Compute the variance along the specified axis.
mars.tensor.nanmean	Compute the arithmetic mean along the specified axis, ignoring NaNs.
mars.tensor.nanstd	Compute the standard deviation along the specified axis, while ignoring NaNs.
mars.tensor.nanvar	Compute the variance along the specified axis, while ignoring NaNs.

Correlating

mars.tensor.corrcoef	Return Pearson product-moment correlation coefficients.
mars.tensor.cov	Estimate a covariance matrix, given data and weights.

Histograms

mars.tensor.digitize

Return the indices of the bins to which each value in input tensor belongs.