Closed
Description
Describe the bug
This is unfortunate but there is a clash between the values key and the values build-in method in the Bunch returned by partial_dependence.
Steps/Code to Reproduce
In [1]: X = [[0, 0, 2], [1, 0, 0]]
...: y = [0, 1]
...: from sklearn.inspection import partial_dependence
...: from sklearn.ensemble import GradientBoostingClassifier
...: gb = GradientBoostingClassifier(random_state=0).fit(X, y)
...: results = partial_dependence(gb, features=[0], X=X, percentiles=(0, 1),
...: grid_resolution=2, kind="average")
In [1]:
In [2]: results.values
Out[2]: <function Bunch.values>
In [3]: results.keys()
Out[3]: dict_keys(['average', 'values'])Expected Results
We cannot access the values with results.values
Actual Results
We might expect to access the values with results.values
Versions
System:
python: 3.8.12 | packaged by conda-forge | (default, Sep 16 2021, 01:38:21) [Clang 11.1.0 ]
executable: /Users/glemaitre/mambaforge/envs/dev/bin/python
machine: macOS-12.0.1-arm64-arm-64bit
Python dependencies:
pip: 21.3
setuptools: 58.2.0
sklearn: 1.1.dev0
numpy: 1.21.2
scipy: 1.8.0.dev0+1902.b795164
Cython: 0.29.24
pandas: 1.3.3
matplotlib: 3.4.3
joblib: 1.0.1
threadpoolctl: 3.0.0
Built with OpenMP: True
threadpoolctl info:
user_api: blas
internal_api: openblas
prefix: libopenblas
filepath: /Users/glemaitre/mambaforge/envs/dev/lib/libopenblas_vortexp-r0.3.18.dylib
version: 0.3.18
threading_layer: openmp
architecture: VORTEX
num_threads: 8
user_api: openmp
internal_api: openmp
prefix: libomp
filepath: /Users/glemaitre/mambaforge/envs/dev/lib/libomp.dylib
version: None
num_threads: 8