error for example https://pandas-ml.readthedocs.io/en/latest/xgboost.html

[Sandy4321]

code from example
https://pandas-ml.readthedocs.io/en/latest/xgboost.html
'''import pandas_ml as pdml
import sklearn.datasets as datasets
df = pdml.ModelFrame(datasets.load_digits())
train_df, test_df = df.cross_validation.train_test_split()
estimator = df.xgboost.XGBClassifier()
train_df.fit(estimator)
predicted = test_df.predict(estimator)
q=1
test_df.metrics.confusion_matrix()
train_df.xgboost.plot_importance()

tuned_parameters = [{'max_depth': [3, 4]}]
cv = df.grid_search.GridSearchCV(df.xgb.XGBClassifier(), tuned_parameters, cv=5)

df.fit(cv)
df.grid_search.describe(cv)
q=1

'''

gives error
'''
File "E:\Pandas\my_code\S_pandas_ml_feb27.py", line 10, in
train_df.xgboost.plot_importance()
File "C:\Users\sndr\Anaconda3\Lib\site-packages\pandas_ml\xgboost\base.py", line 61, in plot_importance
return xgb.plot_importance(self._df.estimator.booster(),

builtins.TypeError: 'str' object is not callable
'''
I use
Windows and 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 10:22:32) [MSC v.1900 64 bit (AMD64)]
Python Type "help", "copyright", "credits" or "license" for more information.

[sinhrks]

Thanks for the report. This should be fixed in latest version (v0.6.1). Note that doc is also updated to fix deprecated module (cross_validation -> model_selection)