speedml
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Speedml is a Python package to speed start machine learning projects.
Not all data comes in .csv or .json files. It would be fantastic and helpful to allow for initializing the process with a dataframe, matrix or series of data rather...
firstly, I run pip install and import then. I beleive that's just a sk_learn issue: `from speedml import Speedml` /usr/local/envs/py3env/lib/python3.5/site-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor...
OSError: dlopen(/Users/leo/anaconda3/envs/py3/lib/python2.7/site-packages/libxgboostwrapper.so, 6): Library not loaded: @rpath/./libgomp.1.dylib Referenced from: /Users/leo/anaconda3/envs/py3/lib/python2.7/site-packages/libxgboostwrapper.so Reason: image not found
I'm just following the tutorial on your github page. When I hit sml.plot.xgb_importance() method, I get below error python3.6\lib\site-packages\speedml\plot.py in xgb_importance(self) 145 X = X.drop([Base.target], axis=1) 146 self._create_feature_map(X.columns) --> 147...
Certain datasets may have blanks replaced with NA or other text.
Choice of the classifier may be based on target variable if it is a regression or classification modeling problem.