make_sparse_spd_matrix does not return sparse matrix #27359
Description
Describe the bug
I have been looking at #27090 and working on test_graphical_lasso.py. There is used make_sparse_spd_matrix function, which, according to documentation, should return sparse matrix. But it returns numpy.ndarray.
Did not find any issue mentioned it, so I considered it to be a bug.
Should it return scipy sparse matrix, or documentation should be changed?
Steps/Code to Reproduce
from sklearn.datasets import make_sparse_spd_matrix
make_sparse_spd_matrix(4)Expected Results
scipy sparse matrix
Actual Results
numpy.ndarray
Versions
System:
python: 3.9.16 | packaged by conda-forge | (main, Feb 1 2023, 21:42:20) [Clang 14.0.6 ]
executable: /Users/y.korobko/mambaforge/envs/sklearn-env/bin/python
machine: macOS-13.4.1-x86_64-i386-64bit
Python dependencies:
sklearn: 1.4.dev0
pip: 23.2.1
setuptools: 68.0.0
numpy: 1.25.1
scipy: 1.11.1
Cython: 3.0.0
pandas: 2.0.3
matplotlib: 3.7.2
joblib: 1.3.1
threadpoolctl: 3.2.0
Built with OpenMP: False
threadpoolctl info:
user_api: blas
internal_api: openblas
num_threads: 12
prefix: libopenblas
filepath: /Users/y.korobko/mambaforge/envs/sklearn-env/lib/libopenblasp-r0.3.23.dylib
version: 0.3.23
threading_layer: openmp
architecture: Haswell
user_api: openmp
internal_api: openmp
num_threads: 12
prefix: libomp
filepath: /Users/y.korobko/mambaforge/envs/sklearn-env/lib/libomp.dylib
version: None