-
Notifications
You must be signed in to change notification settings - Fork 867
All issues
Issue creation is restricted in this repository
Issues
is:issue state:open
is:issue state:open
Search results
sklearn metadata routing: let
treatmentreach a learner inside a PipelineenhancementNew feature or requestNew feature or requestStatus: Open.#986 In uber/causalml;Flip every signature to
(X, y, treatment, ...)and delete the deprecation shimenhancementNew feature or requestNew feature or requestrefactoringCode refactoringCode refactoringStatus: Open.#985 In uber/causalml;Write the
fit()argument-order migration guide + changelog entrydocumentationImprovements or additions to documentationImprovements or additions to documentationStatus: Open.#984 In uber/causalml;Migrate docs notebooks and guides to keyword
fit/predictcallsdocumentationImprovements or additions to documentationImprovements or additions to documentationStatus: Open.#983 In uber/causalml;- Status: Open.#982 In uber/causalml;
Adopt the scikit-learn
fit(X, y, treatment, ...)argument order (v1.0 M1)enhancementNew feature or requestNew feature or requestrefactoringCode refactoringCode refactoringStatus: Open.#980 In uber/causalml;OpenMP lib dep causes test failure.
bugSomething isn't workingSomething isn't workingStatus: Open.#908 In uber/causalml;CausalML is not compatible with Scikit-Learn Pipeline
enhancementNew feature or requestNew feature or requestStatus: Open.#854 In uber/causalml;When add the Honest Tree to the CausalTreeRegressor?
enhancementNew feature or requestNew feature or requestStatus: Open.#584 In uber/causalml;Why does using UpliftRandomForestClassifier consume so much memory？
bugSomething isn't workingSomething isn't workingStatus: Open.#571 In uber/causalml;Uplift Forest parameters for multiple treatments
enhancementNew feature or requestNew feature or requestStatus: Open.#538 In uber/causalml;Adding Interaction Tree and Conditional Interaction Tree Criterion
enhancementNew feature or requestNew feature or requestStatus: Open.#530 In uber/causalml;