pipelineVerified releasev1
rule_predict
Score a caller-supplied validated rule model without retraining or requiring a target.
Interface
Verified contract
Inputs
| Name | Type |
|---|---|
| model | dict |
| dataset | unspecified |
Outputs
| Name | Type |
|---|---|
| result | unspecified |
Exact release
Pinned local call
from spl import SPLClient
result = SPLClient.embedded().call(
"splime://@splime.project/case5-validation-20261011/rule_predict@1",
kwargs={'dataset': 'replace-with-value', 'model': {}},
trust=True,
)Review before running. Public bundles contain executable code. Verify the publisher and exact content hash; a virtual environment isolates dependencies, not the operating system.
Evidence
Evidence-backed concepts
- Rule predict
- Requiring target
- Score caller supplied
- Supplied validated rule
- Scikit learn
- Key value mapping
- Structured JSON
- Numerical arrays
History
Public versions
- v110 downloads
Discover
Similar Objects
- rule_inspect_modelValidate and inspect a caller-supplied JSON rule model, classes, rules and feature schema.
- rule_prepareValidate a prepared Case5 table and apply the chronological grouped search preset.
- rule_monitorMonitor coverage and missing values. Pass optional target_col for labelled quality metrics.
- case5_first_pd1_predictApply the fitted first_pd1 rules embedded in this release. Returns application IDs, predicted classes, probabilities and segments. No caller-side model file or retraining is required.
- rule_evaluateEvaluate a fixed fitted model on development and independent holdout without changing the selected rules.