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MLeap Scikit Example Broken

See original GitHub issue

Issue Description

Hi, I tried to get the Scikit-learn example from the documentation to work

# Initialize a FeatureExtractor, which subselects only the features we want
# to run the Standard Scaler against
input_features = ['a', 'c', 'd']
output_vector_name = 'unscaled_continuous_features' # Used only for serialization purposes
output_features = ["{}_scaled".format(x) for x in input_features]

feature_extractor_tf = FeatureExtractor(input_scalars=input_features,

# Define the Standard Scaler as we normally would
standard_scaler_tf = StandardScaler(with_mean=True,

# Execute ML-Init to add the require attributes to the transformer object
# Op and Name will be initialized automatically

But ran into the following error:

AttributeError                            Traceback (most recent call last)
<ipython-input-3-a38e6a0355a2> in <module>()
     17 # Op and Name will be initialized automatically
     18 standard_scaler_tf.mlinit(prior_tf=feature_extractor_tf,
---> 19                           output_features='scaled_continuous_features')

/Users/avd/anaconda/envs/py35_auto_/lib/python3.5/site-packages/mleap/sklearn/preprocessing/ in mleap_init(self, prior_tf, output_features)
     88         output_feature_name = prior_tf.output_features
---> 90     class_name = "{}".format(self.__init__.im_class).split('.')[-1].replace('>','').replace("'",'')
     92     if output_features is not None:

AttributeError: 'function' object has no attribute 'im_class'

Any suggestions?

AirBnb price regression example breaks due to the same error.

Issue Analytics

  • State:closed
  • Created 5 years ago
  • Reactions:2
  • Comments:10 (2 by maintainers)

github_iconTop GitHub Comments

ancasarbcommented, Jul 6, 2018

@donigian @MTDzi Yes, @ksoucy is right, we merged in order to make mleap scikit-learn work with python 3.

I’ll try to get a new version of the package published to pypi so that you don’t need to rebuild from source.

ksoucycommented, Jun 19, 2018

I experienced the same issue, it looks related to changes made in #344 which were merged to master.

If you change line 90 in your local /Users/avd/anaconda/envs/py35_auto_mrm/lib/python3.5/site-packages/mleap/sklearn/preprocessing/ file, to match the master branch, the demo notebook works:

  • class_name = “{}”.format(self.init.im_class).split(‘.’)[-1].replace(‘>’,‘’).replace(“'”,‘’)
  • class_name =

Alternatively, you could also rebuild from source from the current master branch.

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