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~\Anaconda2\envs\p圓6\lib\ctypes\_init_.py in LoadLibrary(self, name) ~\Anaconda2\envs\p圓6\lib\site-packages\xgboost\core.py in _load_lib() ~\Anaconda2\envs\p圓6\lib\site-packages\xgboost\core.py in () ~\Anaconda2\envs\p圓6\lib\site-packages\xgboost\_init_.py in () > 1 from xgboost import XGBRegressor # OSError: The specified module could not be foundĤ # Add silent=True to avoid printing out updates with each cycleĥ my_model.fit(train_X, train_y, verbose=False) OSError Traceback (most recent call last) Git bash : launches a window labeled `MINGW64:/c/users/karls` Is there a fix for this? A better way to install? I'd like to continue with Dan Becker's intro to ML on kaggle! I get OSError: The specified module could not be found error. But in my notebook when I try to import the module using both \Anaconda2\envs\p圓6\Lib\site-packages\xgboost.

My latest attempt followed instructions posted at : conda install -c anaconda py-xgboost.Īgain, the installation seemed to work: I can see the installed files under. \Anaconda2\envs\p圓6\Lib\site-packages\xgboost-0.71-p圓.6.egg\xgboost, but importing produces an error. For example, I can see installed files at. Some of the installations seemed to work, but importing the module in a jupyter notebook failed. Others involved a few dozen steps, some of which were unclear and confusing for a novice like me. Some of the instructions were straighforward (e.g., conda install -c conda-forge xgboost). Over the past several days I have tried to install XGBoost using instructions found at