[INSTALL]: ImportError for 'Jinja2' when importing pycaret.classification

[ShreySrivas]

pycaret version checks

• [X] I have checked that this issue has not already been reported here.

• [X] 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

While running the binary classification tutorial (CLF101) https://github.com/pycaret/pycaret/blob/master/tutorials/Binary%20Classification%20Tutorial%20Level%20Beginner%20-%20%20CLF101.ipynb, I came across an issue while importing pycaret.classification where 'Jinja2' was a missing dependency. !pip install jinja2 doesn't seem to resolve the issue.

A working solution is running the code !pip install markupsafe==2.0.1 that seems to resolve the issue at hand.

The latest version of Pycaret needs to incorporate the missing dependency 'Jinja2'.

Reproducible Example

!pip install pycaret
from pycaret.utils import enable_colab
enable_colab()
from pycaret.datasets import get_data
dataset = get_data('credit')
dataset.shape
data = dataset.sample(frac=0.95, random_state=786)
data_unseen = dataset.drop(data.index)
data.reset_index(inplace=True, drop=True)
data_unseen.reset_index(inplace=True, drop=True)
print('Data for Modeling: ' + str(data.shape))
print('Unseen Data For Predictions: ' + str(data_unseen.shape))
from pycaret.classification import *
exp_clf101 = setup(data = data, target = 'default', session_id=123)

Expected Behavior

from pycaret.classfication import * should run without errors.

Actual Results

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-5-537c6797760f> in <module>()
----> 1 from pycaret.classification import *
      2 exp_clf101 = setup(data = data, target = 'default', session_id=123)

5 frames
/usr/local/lib/python3.7/dist-packages/pycaret/classification.py in <module>()
      8 import numpy as np
      9 
---> 10 import pycaret.internal.tabular
     11 from pycaret.loggers.base_logger import BaseLogger
     12 from pycaret.parallel import ParallelBackend

/usr/local/lib/python3.7/dist-packages/pycaret/internal/tabular.py in <module>()
     14     get_estimator_from_meta_estimator,
     15 )
---> 16 from pycaret.internal.pipeline import (
     17     add_estimator_to_pipeline,
     18     get_pipeline_estimator_label,

/usr/local/lib/python3.7/dist-packages/pycaret/internal/pipeline.py in <module>()
      9 # This pipeline is only to be used internally.
     10 
---> 11 from pycaret.internal.utils import get_all_object_vars_and_properties, is_fit_var
     12 import imblearn.pipeline
     13 from sklearn.utils import _print_elapsed_time

/usr/local/lib/python3.7/dist-packages/pycaret/internal/utils.py in <module>()
      8 from pycaret.containers.models.base_model import ModelContainer
      9 import pandas as pd
---> 10 import pandas.io.formats.style
     11 import ipywidgets as ipw
     12 from IPython.display import display, HTML, clear_output, update_display

/usr/local/lib/python3.7/dist-packages/pandas/io/formats/style.py in <module>()
     47 from pandas.io.formats.format import save_to_buffer
     48 
---> 49 jinja2 = import_optional_dependency("jinja2", extra="DataFrame.style requires jinja2.")
     50 
     51 from pandas.io.formats.style_render import (

/usr/local/lib/python3.7/dist-packages/pandas/compat/_optional.py in import_optional_dependency(name, extra, errors, min_version)
    116     except ImportError:
    117         if errors == "raise":
--> 118             raise ImportError(msg) from None
    119         else:
    120             return None

ImportError: Missing optional dependency 'Jinja2'. DataFrame.style requires jinja2. Use pip or conda to install Jinja2.

---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------

Installed Versions

version: 2.3.10

[ngupta23]

Did you restart the kernel after installing? If you do not do that, it might be causing the issue.

[ShreySrivas]

Thank you for replying. I did restart the kernel but the problem still persists. The solution I found was running the code !pip install markupsafe==2.0.1.

[nityanantan23]

you can try this !pip install --pre pycaret

[ngupta23]

you can try this !pip install --pre pycaret

Yes, please try this. This is the latest version that will be released shortly.

[VinayChaudhari1996]

The same thing happened with the anomalies detection module,

[ngupta23]

@VinayChaudhari1996 What version of pycaret are you using. Have you tried the latest version (3.0.0rc) and face the same issues?

you can try this !pip install --pre pycaret

[microprediction]

Confirming that this problem seems to be fixed in colab, there there is a cuml warning for regression import

   from pycaret.regression import *
   WARNING:logs:No module named 'cuml'.

'cuml' is a soft dependency and not included in the pycaret installation. Please run: pip install cuml to install.

[ngupta23]

Thanks for confirming @microprediction (Peter)!

@ShreySrivas @VinayChaudhari1996 We will close this for now as the issue is not reproducible from our side as well. Please file a new request if you continue to face issues.