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Computes the mean squared error between the labels and predictions.
tf.compat.v1.metrics.mean_squared_error( labels, predictions, weights=None, metrics_collections=None, updates_collections=None, name=None )
mean_squared_error function creates two local variables,
count that are used to compute the mean squared error.
This average is weighted by
weights, and it is ultimately returned as
mean_squared_error: an idempotent operation that simply divides
For estimation of the metric over a stream of data, the function creates an