Verbosity option is not working in GridSearchCV (Jupyter notebook) #22849
Description
Describe the bug
So this issue has been addressed before here by darrencl, but the user didn't follow up with lesteve response.
The problem is that GridSearchCV doesn't show the elapsed time periodically, or any log, I am setn_jobs = -1, and verbose = 1. I tried setting n_jobs to other values, the same with verbose, but nothing happened.
Note that this didn't happen until I updated scikit-learn from version 0.22.1 to 1.0.2.
lesteve in his response assumed that this problem is due to ipykernel <6, which is not the case with me.
Steps/Code to Reproduce
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from sklearn import datasets
iris = datasets.load_iris()
params = {'n_estimators':[10,20,30,40,50,60],
'max_depth':[20,50,60,70,80]}
grid_obj = GridSearchCV(estimator=RandomForestClassifier(), param_grid=params, n_jobs=-1, verbose=1, cv=5)
grid_obj.fit(iris.data, iris.target)
Expected Results
This is the output when using version 0.22.1
Actual Results
Fitting 5 folds for each of 30 candidates, totalling 150 fits
Versions
System:
python: 3.8.5 (default, Sep 3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)]
executable: D:\Programs\ApplicationsSetup\anaconda3\python.exe
machine: Windows-10-10.0.19041-SP0
Python dependencies:
pip: 21.2.2
setuptools: 58.0.4
sklearn: 1.0.2
numpy: 1.19.2
scipy: 1.6.2
Cython: 0.29.25
pandas: 1.4.1
matplotlib: 3.5.1
joblib: 1.1.0
threadpoolctl: 2.2.0
!jupyter --version
Selected Jupyter core packages...
IPython : 7.31.1
ipykernel : 6.4.1
ipywidgets : 7.6.5
jupyter_client : 6.1.12
jupyter_core : 4.9.1
jupyter_server : 1.13.5
jupyterlab : 3.2.9
nbclient : 0.5.11
nbconvert : 6.1.0
nbformat : 5.1.3
notebook : 6.4.9
qtconsole : 5.2.2
traitlets : 5.1.1