Tracking Metrics
The cdsw library includes a track_metric function
that can be used to log up to 50 metrics associated with a run, thus allowing accuracy and
scores to be tracked over time.
The function accepts input in the form of key value
pairs.
cdsw.track_metric(key, value)Python
cdsw.track_metric(“R_squared”, 0.79)R
cdsw::track.metric(“R_squared”, 0.62)These metrics will be available on the project's Experiments tab where you can view, sort, and filter experiments on the values. The table on the Experiments page will allow you to display only three metrics at a time. You can select which metrics are displayed from the metrics dropdown.
