weight_mode

Description

weight_mode specifies how Kumo handles imbalanced datasets.

There are three available options:

• 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