Gama Minimal example not working

[prabhant]

The example for gama is not working : https://openml-labs.github.io/gama/master/user_guide/index.html#examples
MWE on colab

!pip install gama
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.metrics import log_loss, accuracy_score
from gama import GamaClassifier

if __name__ == "__main__":
    X, y = load_breast_cancer(return_X_y=True)
    X_train, X_test, y_train, y_test = train_test_split(
        X, y, stratify=y, random_state=0
    )

    automl = GamaClassifier(max_total_time=180, store="nothing", n_jobs=1)
    print("Starting `fit` which will take roughly 3 minutes.")
    automl.fit(X_train, y_train)

    label_predictions = automl.predict(X_test)
    probability_predictions = automl.predict_proba(X_test)

    print("accuracy:", accuracy_score(y_test, label_predictions))
    print("log loss:", log_loss(y_test, probability_predictions))

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
yellowbrick 1.4 requires scikit-learn>=1.0.0, but you have scikit-learn 0.24.2 which is incompatible.
google-colab 1.0.0 requires pandas>=1.1.0; python_version >= "3.0", but you have pandas 1.0.5 which is incompatible.
Successfully installed black-19.10b0 category-encoders-2.4.0 gama-21.0.1 liac-arff-2.5.0 pandas-1.0.5 pathspec-0.9.0 scikit-learn-0.24.2 stopit-1.1.2 toml-0.10.2 typed-ast-1.5.2
/usr/local/lib/python3.7/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
  import pandas.util.testing as tm
Starting `fit` which will take roughly 3 minutes.
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
[<ipython-input-1-22d5f67a2b5d>](https://localhost:8080/#) in <module>()
     13     automl = GamaClassifier(max_total_time=180, store="nothing", n_jobs=1)
     14     print("Starting `fit` which will take roughly 3 minutes.")
---> 15     automl.fit(X_train, y_train)
     16 
     17     label_predictions = automl.predict(X_test)

5 frames
[/usr/local/lib/python3.7/dist-packages/category_encoders/one_hot.py](https://localhost:8080/#) in fit(self, X, y, **kwargs)
    155             'value': 'value',
    156             'indicator': 'return_nan',
--> 157         }[self.handle_missing]
    158 
    159         self.ordinal_encoder = OrdinalEncoder(

KeyError: 'ignore'

[chclam]

Hi, this issue has been raised and addressed in a recent fix: #148, see commit: 74e0407. Please pull the recent changes from this Github repo :)

[prabhant]

Thanks, I was fetching the develop branch, maybe merge these changes with develop branch as well :)

[PGijsbers]

My bad, the development branch is no longer in use. master is now the default branch, and releases get dedicated branches. But I did not manage to update the docs yet :(