ModuleNotFoundError: No module named 'numpy.random. biasedurn import (_PyFishersNCHypergeometric,įile "biasedurn.pyx", line 1, in init fixes import np_version, parse_versionįile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\sklearn\utils\fixes.py", line 20, in įile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\scipy\stats\_init_.py", line 441, in įile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\scipy\stats\stats.py", line 43, in įile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\scipy\stats\distributions.py", line 11, in įile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\scipy\stats\_discrete_distns.py", line 19, in įrom. from trics import classification_reportįile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\sklearn\_init_.py", line 82, in įile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\sklearn\base.py", line 17, in įile "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\sklearn\utils\_init_.py", line 28, in įrom. However, I am receiving this error message which I am not sure how to resolve. This content is taken from DataCamp’s Statistical Thinking in Python (Part 1) course by Justin Bois.I would like to use the classification_report module from trics in my project. To learn more about random number generators and hacker statistics, please see this video from our course Statistical Thinking in Python (Part 1). When we run the above code, it produces the following result: That function takes a tuple to specify the size of the output, which is consistent with other NumPy functions like numpy.zeros and numpy.ones. # Generate random numbers by looping over range(100000) This is a convenience function for users porting code from Matlab, and wraps randomsample. # Initialize random numbers: random_numbers It is not necessary to label the axes in this case because we are just checking the random number generator.
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