Pandas 1.0.0rc0/0.6.1 module 'sklearn.preprocessing' has no attribute 'Imputer'

[apiszcz]

SKLEARN

sklearn.preprocessing.Imputer
Warning
DEPRECATED

class sklearn.preprocessing.Imputer(*args, **kwargs)[source]
Imputation transformer for completing missing values.

Read more in the User Guide.

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-1-e0471065d85c> in <module>
      1 import pandas as pd
      2 import numpy as np
----> 3 import pandas_ml as pdml
      4 a1 = np.random.randint(0,2,size=(100,2))
      5 df = pd.DataFrame(a1,columns=['i1','i2'])

C:\g\test\lib\pandas_ml\__init__.py in <module>
      1 #!/usr/bin/env python
      2 
----> 3 from pandas_ml.core import ModelFrame, ModelSeries       # noqa
      4 from pandas_ml.tools import info                         # noqa
      5 from pandas_ml.version import version as __version__     # noqa

C:\g\test\lib\pandas_ml\core\__init__.py in <module>
      1 #!/usr/bin/env python
      2 
----> 3 from pandas_ml.core.frame import ModelFrame       # noqa
      4 from pandas_ml.core.series import ModelSeries     # noqa

C:\g\test\lib\pandas_ml\core\frame.py in <module>
      8 
      9 import pandas_ml.imbaccessors as imbaccessors
---> 10 import pandas_ml.skaccessors as skaccessors
     11 import pandas_ml.smaccessors as smaccessors
     12 import pandas_ml.snsaccessors as snsaccessors

C:\g\test\lib\pandas_ml\skaccessors\__init__.py in <module>
     17 from pandas_ml.skaccessors.neighbors import NeighborsMethods                      # noqa
     18 from pandas_ml.skaccessors.pipeline import PipelineMethods                        # noqa
---> 19 from pandas_ml.skaccessors.preprocessing import PreprocessingMethods              # noqa
     20 from pandas_ml.skaccessors.svm import SVMMethods                                  # noqa

C:\g\test\lib\pandas_ml\skaccessors\preprocessing.py in <module>
     11     _keep_col_classes = [pp.Binarizer,
     12                          pp.FunctionTransformer,
---> 13                          pp.Imputer,
     14                          pp.KernelCenterer,
     15                          pp.LabelEncoder,

AttributeError: module 'sklearn.preprocessing' has no attribute 'Imputer'

[NamrataShahade]

Hi,
I am also getting the same error when I am trying to import :

      from sklearn.impute import SimpleImputer
      from pandas_ml import ConfusionMatrix
      import matplotlib.pyplot as plt

[eduard93]

Same error persists on latest versions.

[gfranco008]

I am still getting this error

[olliiiver]

Had the same problem while trying some examples and Google brought me here.

sklearn.preprocessing.Imputer has been removed in 0.22.

Needed to downgrade.

pip3 install scikit-learn==0.21

pip3 install pandas==0.24.2

[ikostan]

I had same issue on my Colab platform. Following line from pandas_ml import ConfusionMatrix gave me the error.
Thank you @olliiiver, now it works fine

[gtangthousandeyes]

wow.

[cl886699]

from sklearn.impute import SimpleImputer
SimpleImputer(missing_values=np.nan, strategy='mean')

[FedericaBrando]

Same issue.
Downgrading didn't work for me

[kalilamali]

This worked for me:
You have to uninstall properly and downgrading will work.

! pip uninstall -y scikit-learn
! pip uninstall -y pandas
! pip uninstall -y pandas_ml

! pip install scikit-learn==0.21
! pip install pandas==0.24.2
! pip install pandas_ml

import pandas_ml as pdml

[code-JOA]

yeah facing the same problem today. Not worth the stress. I just deleted Pandas_ml . Problem solved.

[apiszcz]

The memories, #127