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 |
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 |