-
Notifications
You must be signed in to change notification settings - Fork 1.8k
Closed
Labels
bugSomething isn't workingSomething isn't working
Description
pycaret version checks
-
I have checked that this issue has not already been reported here.
-
I have confirmed this bug exists on the latest version of pycaret.
-
I have confirmed this bug exists on the master branch of pycaret (pip install -U git+https://github.com/pycaret/pycaret.git@master).
Issue Description
I installed the next version of scikit-learn 1.4 and errors were shown, that is, I suggest we start preparing pycaret for the next version of scikit-learn.
Reproducible Example
pip install --pre --extra-index https://pypi.anaconda.org/scientific-python-nightly-wheels/simple scikit-learn
Expected Behavior
.
Actual Results
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
Cell In[2], line 10
7 # Definir a opção para mostrar todas as colunas
8 pd.set_option("display.max_columns", None)
---> 10 from pycaret.classification import *
File ~\anaconda3\lib\site-packages\pycaret\classification\__init__.py:1
----> 1 from pycaret.classification.functional import (
2 add_metric,
3 automl,
4 blend_models,
5 calibrate_model,
6 check_drift,
7 check_fairness,
8 compare_models,
9 convert_model,
10 create_api,
11 create_app,
12 create_docker,
13 create_model,
14 dashboard,
15 deploy_model,
16 ensemble_model,
17 evaluate_model,
18 finalize_model,
19 get_allowed_engines,
20 get_config,
21 get_current_experiment,
22 get_engine,
23 get_leaderboard,
24 get_logs,
25 get_metrics,
26 interpret_model,
27 load_experiment,
28 load_model,
29 models,
30 optimize_threshold,
31 plot_model,
32 predict_model,
33 pull,
34 remove_metric,
35 save_experiment,
36 save_model,
37 set_config,
38 set_current_experiment,
39 setup,
40 stack_models,
41 tune_model,
42 )
43 from pycaret.classification.oop import ClassificationExperiment
45 __all__ = [
46 "ClassificationExperiment",
47 "setup",
(...)
86 "check_drift",
87 ]
File ~\anaconda3\lib\site-packages\pycaret\classification\functional.py:8
5 import pandas as pd
6 from joblib.memory import Memory
----> 8 from pycaret.classification.oop import ClassificationExperiment
9 from pycaret.internal.parallel.parallel_backend import ParallelBackend
10 from pycaret.loggers.base_logger import BaseLogger
File ~\anaconda3\lib\site-packages\pycaret\classification\oop.py:16
13 from joblib.memory import Memory
14 from scipy.optimize import shgo
---> 16 from pycaret.containers.metrics.classification import get_all_metric_containers
17 from pycaret.containers.models.classification import (
18 ALL_ALLOWED_ENGINES,
19 get_all_model_containers,
20 get_container_default_engines,
21 )
22 from pycaret.internal.display import CommonDisplay
File ~\anaconda3\lib\site-packages\pycaret\containers\metrics\classification.py:16
13 from sklearn import metrics
14 from sklearn.metrics._scorer import _BaseScorer
---> 16 import pycaret.containers.base_container
17 import pycaret.internal.metrics
18 from pycaret.containers.metrics.base_metric import MetricContainer
File ~\anaconda3\lib\site-packages\pycaret\containers\base_container.py:8
5 import inspect
6 from typing import Any, Dict, Optional
----> 8 import pycaret.utils.generic
11 class BaseContainer:
12 """
13 Base container class, for easier definition of containers. Ensures consistent format
14 before being turned into a dataframe row.
(...)
41
42 """
File ~\anaconda3\lib\site-packages\pycaret\utils\generic.py:15
13 from scipy import sparse
14 from sklearn.metrics import get_scorer
---> 15 from sklearn.metrics._scorer import _PredictScorer
16 from sklearn.model_selection import BaseCrossValidator, KFold, StratifiedKFold
17 from sklearn.model_selection._split import _BaseKFold
ImportError: cannot import name '_PredictScorer' from 'sklearn.metrics._scorer' (C:\Users\celes\anaconda3\lib\site-packages\sklearn\metrics\_scorer.py)
Installed Versions
latest pycaret from github
Metadata
Metadata
Assignees
Labels
bugSomething isn't workingSomething isn't working