May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Output on the PyCharm console
The complete output on the PyCharm execution console for the entire code just shown is collectively as shown hereafter. When running the code on your own computer, you can use it as a reference for tallying.
From this point onward, the output has been split into blocks for clarity.
In the first block, the molecule examples in the dataset number 1522:
/home/avimanyu/miniconda3/envs/DeepChem/lib/python3.6/site-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1dColumns of dataset: ['mol','CID','Class','Model','pIC50','MW','AlogP','HBA','HBD','RB',...] ...
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