SamplingConfig Class

`ml_debugger.data_filter.config.sampling_config.SamplingConfig`

Bases: BaseModel

Sampling configuration for query result selection.

属性：

名前	タイプ	デスクリプション
`method`	`str`	Sampling method. - "random": Random sampling from candidates within [min_value, max_value] range. - "class_balanced": Per-class quota random sampling.
`min_per_class`	`int`	Target number of samples per class (method="class_balanced" only). This is a target quota, not a guarantee. Classes with no candidates are skipped, and budget exhaustion may limit per-class counts.
`seed`	`Optional[int]`	Random seed for reproducibility (method="random" only). Ignored when method="class_balanced" (deterministic by design).
`min_value`	`Optional[float]`	Lower bound (inclusive) on rank_value for candidate filtering. Required (at least one of min_value/max_value) when method="random". Optional for method="class_balanced".
`max_value`	`Optional[float]`	Upper bound (inclusive) on rank_value for candidate filtering. Required (at least one of min_value/max_value) when method="random". Optional for method="class_balanced".

Validate dict and return result with guide message.