datatable.models.Ftrl.feature_importances¶
feature_importances
Feature importances as calculated during the model training and
normalized to [0; 1]
. The normalization is done by dividing
the accumulated feature importances over the maximum value.
Parameters¶
return
Frame
A frame with two columns: feature_name
that has stype str32
,
and feature_importance
that has stype float32
or float64
depending on whether the double_precision
option is False
or True
.