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/** | ||
* WARNING: This file is auto generated, do not modify manually. | ||
* | ||
* GetAutoAblationParams | ||
* | ||
* Get auto-ablation parameters set by #set_auto_ablation_params | ||
*/ | ||
|
||
export type GetAutoAblationParamsResponse = { | ||
/** | ||
* Flag indicating if automatic ablation is enabled. | ||
*/ | ||
auto_ablation_enabled?: boolean; | ||
/** | ||
* The name of the weight feature which is accumulated and used in automatic ablation. | ||
*/ | ||
auto_ablation_weight_feature?: boolean; | ||
/** | ||
* The conviction threshold above which cases will be ablated. | ||
*/ | ||
conviction_lower_threshold?: number; | ||
/** | ||
* The conviction threshold below which cases will be ablated. | ||
*/ | ||
conviction_upper_threshold?: number; | ||
/** | ||
* The list of features that if predicted correctly on a new case will trigger the ablation of the case. | ||
*/ | ||
exact_prediction_features?: string[]; | ||
/** | ||
* The minimum threshold of influence weight entropy for a case to be ablated in the process of automatic ablation. | ||
*/ | ||
influence_weight_entropy_threshold?: number; | ||
/** | ||
* The minimum number of cases to train before automatic ablation begins. | ||
*/ | ||
minimum_model_size?: number; | ||
/** | ||
* The map of features to relative thresholds that if predicted within on a new case will trigger the ablation of the case. | ||
*/ | ||
relative_prediction_threshold_map?: string[]; | ||
/** | ||
* The list of features that if predicted within their residual on a new case will trigger the ablation of the case. | ||
*/ | ||
residual_prediction_features?: string[]; | ||
/** | ||
* The map of features to absolute thresholds that if predicted within on a new case will trigger the ablation of the case. | ||
*/ | ||
tolerance_prediction_threshold_map?: string[]; | ||
}; |
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export * from "./FeatureOriginalType"; | ||
export * from "./GetMarginalStats"; | ||
export * from "./GetParams"; | ||
export * from "./React"; | ||
export * from "./ReactAggregate"; |