Optimization
majority_sampling_ratio
majority_sampling_ratio: <list[float]> (Optional)
Description
A list of majority sampling ratios for AutoML to explore. The ratio specifies how examples are sampled from the majority class when the task is binary classification. This means that for every example in the minority class, we samplemajority_sampling_ratio number of examples from the majority class. majority_sampling_ratio must be > 0 in case it is specified.
For example, a ratio of 10 means that we sample the examples of the majority class with ratio 1:10, or in other words, we sample 10 majority class examples for every minority class example.
If the ratio of majority:minority is greater than majority_sampling_ratio:1, we will sample uniformly, ignoring this value.
For example, if the ratio of majority:minority = 10:1 and we choose majority_sampling_ratio=9 then we will ignore this setting.
Supported Task Types
- Binary Classification
Default Values
| run_mode | Default Value |
|---|---|
| FAST | None |
| NORMAL | None |
| BEST | None |