Table Of Contents
Table Of Contents

Metric

Evaluation metrics to measure model performance

mx.callback.log.train.metric

Log training metric each period

mx.metric.accuracy

Accuracy metric for classification

mx.metric.custom

Helper function to create a customized metric

mx.metric.logistic_acc

Accuracy metric for logistic regression

mx.metric.logloss

LogLoss metric for logistic regression

mx.metric.mae

MAE (Mean Absolute Error) metric for regression

mx.metric.mse

MSE (Mean Squared Error) metric for regression

mx.metric.Perplexity

Perplexity metric for language model

mx.metric.rmse

RMSE (Root Mean Squared Error) metric for regression

mx.metric.rmsle

RMSLE (Root Mean Squared Logarithmic Error) metric for regression

mx.metric.top_k_accuracy

Top-k accuracy metric for classification