fm.track: Track Model's Performance
In evanwang1990/FMwR: Factorization Machines with R

track model's performance on two datasets, the performance are measured by evaluate.metric

1 2	fm.track(object, data = NULL, newdata = NULL, data.normalize = TRUE, newdata.normalize = TRUE, evaluate.metric = c("LL", "AUC", "ACC", "RMSE", "MAE"))

`object`	a FM object
`data, newdata`	objects created by fm.matrix
`data.normalize`	whether to normalize data
`newdata.normalize`	whether to normalize newdata
`evaluate.metric`	a character, "RMSE"、"MAE" for regression model or "AUC"、"ACC"、"LL" for classification model