# mx.symbol.moments¶

## Description¶

Calculate the mean and variance of data.

The mean and variance are calculated by aggregating the contents of data across axes. If x is 1-D and axes = [0] this is just the mean and variance of a vector.

Example:

x = [[1, 2, 3], [4, 5, 6]] mean, var = moments(data=x, axes=[0]) mean = [2.5, 3.5, 4.5] var = [2.25, 2.25, 2.25] mean, var = moments(data=x, axes=[1]) mean = [2.0, 5.0] var = [0.66666667, 0.66666667] mean, var = moments(data=x, axis=[0, 1]) mean = [3.5] var = [2.9166667]

## Usage¶

mx.symbol.moments(...)


## Arguments¶

Argument

Description

data

NDArray-or-Symbol.

Input ndarray

axes

Shape or None, optional, default=None.

Array of ints. Axes along which to compute mean and variance.

keepdims

boolean, optional, default=0.

produce moments with the same dimensionality as the input.

name

string, optional.

Name of the resulting symbol.

## Value¶

out The result mx.symbol