tf.nn.sufficient_statistics

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`.

TensorFlow

tf.nn / sufficient_statistics

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tf.nn / sufficient_statistics

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