Optimization
weight_mode
weight_mode: (sample (default) | weighted_loss | mix)
(Optional)
Description
weight_mode
specifies how Kumo handles imbalanced datasets.
-
sample
: samples training examples with replacement according to the label weight distribution. -
weighted_loss
: weighs training examples in the loss function according to the label weight distribution. -
mix
: samples training examples with replacement according to the label weight distribution, but will re-weigh them in the loss function according to the inverse of the given weight.
This option is applicable only when majority_sampling_ratio
is specified.
Supported Task Types
- Binary Classification
Default Values
Run Mode | Default Value |
---|---|
FAST | sample |
NORMAL | sample |
BEST | sample |