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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).
I tried to use pycaret.time_series with python version==3.6,but it told me that "ImportError: cannot import name 'get_columns_to_stratify_by'";
from pycaret.time_series import * s = setup(data, fh = 3, session_id = 123)
Description Value 0 session_id 123 1 Target Number of airline passengers 2 Approach Univariate 3 Exogenous Variables Not Present 4 Original data shape (144, 1) 5 Transformed data shape (144, 1) 6 Transformed train set shape (141, 1) 7 Transformed test set shape (3, 1) 8 Rows with missing values 0.0% 9 Fold Generator ExpandingWindowSplitter 10 Fold Number 3 11 Enforce Prediction Interval False 12 Splits used for hyperparameters all 13 Seasonality Detection Algo auto 14 Max Period to Consider 60 15 Seasonal Period(s) Tested [12, 24, 36, 11, 48] 16 Significant Seasonal Period(s) [12, 24, 36, 11, 48] 17 Significant Seasonal Period(s) without Harmonics [48, 36, 11] 18 Remove Harmonics False 19 Harmonics Order Method harmonic_max 20 Num Seasonalities to Use 1 21 All Seasonalities to Use [12] 22 Primary Seasonality 12 23 Seasonality Present True 24 Target Strictly Positive True 25 Target White Noise No 26 Recommended d 1 27 Recommended Seasonal D 1 28 Preprocess False 29 CPU Jobs -1 30 Use GPU False 31 Log Experiment False 32 Experiment Name ts-default-name 33 USI 4a01
--------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-1-06c3a214b9d6> in <module> 5 from tqdm import tqdm 6 data = pd.read_csv('./Iraq_bandwidth_isp_province_domain.csv') ----> 7 from pycaret.time_series import * 8 s = setup(data, fh = 3, session_id = 123) /usr/local/lib/python3.6/site-packages/pycaret/time_series.py in <module> 11 import pandas as pd # type: ignore 12 ---> 13 from pycaret.internal.pycaret_experiment import TimeSeriesExperiment 14 from pycaret.internal.utils import check_if_global_is_not_none 15 /usr/local/lib/python3.6/site-packages/pycaret/internal/pycaret_experiment/__init__.py in <module> 2 from .clustering_experiment import ClusteringExperiment 3 ----> 4 from .classification_experiment import ClassificationExperiment 5 from .regression_experiment import RegressionExperiment 6 from .time_series_experiment import TimeSeriesExperiment /usr/local/lib/python3.6/site-packages/pycaret/internal/pycaret_experiment/classification_experiment.py in <module> 1 from pycaret.internal.pycaret_experiment.utils import highlight_setup, MLUsecase ----> 2 from pycaret.internal.pycaret_experiment.supervised_experiment import ( 3 _SupervisedExperiment, 4 ) 5 from pycaret.internal.utils import color_df /usr/local/lib/python3.6/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py in <module> 12 get_pipeline_fit_kwargs, 13 ) ---> 14 from pycaret.internal.utils import ( 15 color_df, 16 nullcontext, ImportError: cannot import name 'get_columns_to_stratify_by'
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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 tried to use pycaret.time_series with python version==3.6,but it told me that "ImportError: cannot import name 'get_columns_to_stratify_by'";
Reproducible Example
Expected Behavior
Description Value
0 session_id 123
1 Target Number of airline passengers
2 Approach Univariate
3 Exogenous Variables Not Present
4 Original data shape (144, 1)
5 Transformed data shape (144, 1)
6 Transformed train set shape (141, 1)
7 Transformed test set shape (3, 1)
8 Rows with missing values 0.0%
9 Fold Generator ExpandingWindowSplitter
10 Fold Number 3
11 Enforce Prediction Interval False
12 Splits used for hyperparameters all
13 Seasonality Detection Algo auto
14 Max Period to Consider 60
15 Seasonal Period(s) Tested [12, 24, 36, 11, 48]
16 Significant Seasonal Period(s) [12, 24, 36, 11, 48]
17 Significant Seasonal Period(s) without Harmonics [48, 36, 11]
18 Remove Harmonics False
19 Harmonics Order Method harmonic_max
20 Num Seasonalities to Use 1
21 All Seasonalities to Use [12]
22 Primary Seasonality 12
23 Seasonality Present True
24 Target Strictly Positive True
25 Target White Noise No
26 Recommended d 1
27 Recommended Seasonal D 1
28 Preprocess False
29 CPU Jobs -1
30 Use GPU False
31 Log Experiment False
32 Experiment Name ts-default-name
33 USI 4a01
Actual Results
Installed Versions
The text was updated successfully, but these errors were encountered: