Closed
Description
Describe the bug
If I understood correctly the developer API for tags, input_tags.sparse tells us whether an estimator can accept sparse data or not. For many estimators it seems that input_tags.sparse is False but should be True.
Steps/Code to Reproduce
from sklearn.linear_model import LinearRegression
from sklearn.utils import get_tags
reg = LinearRegression()
tags = get_tags(reg)
tags.input_tags.sparseExpected Results
True as LinearRegression accepts sparse input data.
Actual Results
False
Versions
System:
python: 3.12.5 | packaged by conda-forge | (main, Aug 8 2024, 18:32:50) [Clang 16.0.6 ]
executable: /Users/abaker/miniforge3/envs/sklearn-dev/bin/python
machine: macOS-14.5-arm64-arm-64bit
Python dependencies:
sklearn: 1.6.dev0
pip: 24.2
setuptools: 73.0.1
numpy: 2.1.0
scipy: 1.14.1
Cython: 3.0.11
pandas: 2.2.2
matplotlib: 3.9.2
joblib: 1.4.2
threadpoolctl: 3.5.0
Built with OpenMP: True
threadpoolctl info:
user_api: blas
internal_api: openblas
num_threads: 8
prefix: libopenblas
filepath: /Users/abaker/miniforge3/envs/sklearn-dev/lib/libopenblas.0.dylib
version: 0.3.27
threading_layer: openmp
architecture: VORTEX
user_api: openmp
internal_api: openmp
num_threads: 8
prefix: libomp
filepath: /Users/abaker/miniforge3/envs/sklearn-dev/lib/libomp.dylib
version: None