Meekail Zain

Results 25 issues of Meekail Zain

#### Reference Issues/PRs Fixes #13783 Resolves #14543 (stalled) Relates to #23721 Relates to #22587 #### What does this implement/fix? Explain your changes. Implements a `PairwiseDistancesReduction` backend algorithm for `KNeighbors.predict`. ####...

Performance
module:metrics
module:neighbors
cython

#### Reference Issues/PRs Fixes #24050 #### What does this implement/fix? Explain your changes. Updates names as per proposal two in #24050 #### Any other comments? - For consistency, changed `*RadiusNeighborhood*`...

module:compose
module:metrics
module:neighbors
No Changelog Needed
cython

## Related Issues/PRs Fixes #21539 ## Changes Adds support for recursively traversing structured arrays for in-depth comparison. ## Comments

01 - Enhancement
25 - WIP

## Body #### Reference Issues/PRs Closes #14331 #### What does this implement/fix? Explain your changes. Integrates the excellent work done at https://github.com/scikit-learn-contrib/hdbscan and includes it as a sub-module of `sklearn.cluster`...

module:cluster
cython

## Related issues/PRs Fixes #22058 ## What does this PR add? This PR enables the usage of a `NPY_ENABLE_CPU_FEATURES` environment variable whose function is described in #22058. Note that the...

01 - Enhancement

### Describe the issue: When trying to build non-standard baseline, the build fails stating that it cannot find certain symbols. Specifically it fails for `SSE42, FMA3__AVX2`. ### Reproduce the code...

00 - Bug
component: numpy.distutils
component: SIMD

#### Reference issue Fixes #16569 #### What does this implement/fix? Updated dtype resolution in `_stack_along_minor_axis` to check if the output of the stack operation would require `np.int64` indices. Adds test....

defect
scipy.sparse
backport-candidate
sprint

### Describe the bug RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior. ### Steps/Code to Reproduce ```python from sklearn.datasets import load_diabetes...

Bug
module:linear_model

CUDA library load/initialization errors have been fairly commonly reported in the past, and although error messages have improved on the XLA side, it is worth documenting an explanation and recommended...

Provides a possible solution to an XLA error which can occur when there is too little device memory to successfully create a `StreamExecutor`. See also https://github.com/google/jax/pull/19604