Regression

A collection of different metrics for regression models.

MAE(total, count)	Computes the mean absolute error for regression problems given predictions and labels.
MSE(total, count)	Computes the mean squared error for regression problems given predictions and labels.
MSLE(total, count)	Computes the mean squared logarithmic error for regression problems given predictions and labels.
RMSE(total, count)	Computes the root mean squared error for regression problems given predictions and labels.
RMSLE(total, count)	Computes the root mean squared logarithmic error for regression problems given predictions and labels.
RSQUARED(total, count, sum_of_squared_error, ...)	Computes the r-squared score of a scalar or a batch of tensors.
SpearmanRankCorrelation(predictions, labels)	Computes the Spearman rank correlation coefficient.