tf.nn.weighted_moments

Returns the frequency-weighted mean and variance of x.

tf.nn.weighted_moments(
    x, axes, frequency_weights, keepdims=False, name=None
)

Args
`x`	A tensor.
`axes`	1-d tensor of int32 values; these are the axes along which to compute mean and variance.
`frequency_weights`	A tensor of positive weights which can be broadcast with x.
`keepdims`	Produce moments with the same dimensionality as the input.
`name`	Name used to scope the operation.

Returns
Two tensors: `weighted_mean` and `weighted_variance`.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2021-05-14 UTC.

Args