pipelineVerified releasev1
rule_fit
Fit the selected configuration using development data only.
Interface
Verified contract
Inputs
| Name | Type |
|---|---|
| searched | dict |
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_fit@1",
kwargs={'searched': {}},
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 fit
- Fit selected
- Selected configuration development
- Scikit learn
- Key value mapping
- Structured JSON
- Numerical arrays
- Tabular analysis
History
Public versions
- v16 downloads
Discover
Similar Objects
- rule_evaluateEvaluate a fixed fitted model on development and independent holdout without changing the selected rules.
- rule_searchCompare bounded interpretable structures with preprocessing and feature selection fitted independently within each CV train fold.
- rule_prepareValidate a prepared Case5 table and apply the chronological grouped search preset.
- rule_inspect_modelValidate and inspect a caller-supplied JSON rule model, classes, rules and feature schema.
- rule_predictScore a caller-supplied validated rule model without retraining or requiring a target.