Predict And Explain
Predict and explain in one call.
Path Parameters
Body
POST /v1/models/{model_id}/predict_and_explain -- Predict + explain in one call.
Inline dataset spec; rows are materialized inside the worker.
When True, attach per-sample rule explanations to the response. Each rule is a small set of feature conditions that together characterize the model's prediction for that sample. When False, rules are skipped and the optional knobs below are inert.
Maximum number of rules returned per sample. Optional; the service default applies when unset.
x >= 1Maximum number of feature conditions allowed in a single rule. Optional; the service default applies when unset.
x >= 1Minimum fraction of the reference dataset a rule must match. Optional; the service default applies when unset.
0 <= x <= 1Maximum number of input features available to the rule computation per sample. Optional; the service default applies when unset.
x >= 1Response
Successful Response
Base response returned by async job-submission endpoints.
Keyed on job_id. Model identity (when applicable) is materialized
at completion and returned inside JobResultResponse.result_data.