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Home Page: http://themlbook.com
License: MIT License
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Home Page: http://themlbook.com
License: MIT License
Hello, I have installed all the Software Libraries required, and removed the header (the first line of Advertising.csv), removed the ids (the first column of Advertising.csv), and then replaced the comas by tabs (real tabs, not 2/4/8 spaces). However, I still failed in running it.
PS C:\Users\DELL> & C:/Users/DELL/AppData/Local/Programs/Python/Python36/python.exe "e:/Work/2020-Summer/other/Research Project/Report/ML/from future import print_function.py"
epoch: 0 loss: 92.32078294903626
w, b: 0.7412639000000002 0.028045000000000007
Traceback (most recent call last):
File "e:/Work/2020-Summer/other/Research Project/Report/ML/from future import print_function.py", line 74, in
w, b = train(x, y, 0.0, 0.0, 0.001, 15000)
File "e:/Work/2020-Summer/other/Research Project/Report/ML/from future import print_function.py", line 60, in train
fig1.savefig('../../Illustrations/gradient_descent-' + str(image_counter) + '.eps', format='eps', dpi=1000, bbox_inches = 'tight', pad_inches = 0)
File "C:\Users\DELL\AppData\Local\Programs\Python\Python36\lib\site-packages\matplotlib\figure.py", line 2203, in savefig
self.canvas.print_figure(fname, **kwargs)
File "C:\Users\DELL\AppData\Local\Programs\Python\Python36\lib\site-packages\matplotlib\backend_bases.py", line 2126, in print_figure
**kwargs)
File "C:\Users\DELL\AppData\Local\Programs\Python\Python36\lib\site-packages\matplotlib\backends\backend_ps.py", line 831, in print_eps
return self._print_ps(outfile, 'eps', *args, **kwargs)
File "C:\Users\DELL\AppData\Local\Programs\Python\Python36\lib\site-packages\matplotlib\backends\backend_ps.py", line 851, in _print_ps
orientation, papertype, **kwargs)
File "C:\Users\DELL\AppData\Local\Programs\Python\Python36\lib\site-packages\matplotlib\cbook\deprecation.py", line 358, in wrapper
return func(*args, **kwargs)
File "C:\Users\DELL\AppData\Local\Programs\Python\Python36\lib\site-packages\matplotlib\backends\backend_ps.py", line 1076, in _print_figure
with open(outfile, 'w', encoding='latin-1') as fh:
FileNotFoundError: [Errno 2] No such file or directory: '../../Illustrations/gradient_descent-2.eps'
PS C:\Users\DELL>
How to solve this problem.
Thank you very much.
Hi,
I tried running gradient_descent.py.
But it failed.
$ python gradient_descent.py
Traceback (most recent call last):
File "gradient_descent.py", line 73, in <module>
x, y = np.loadtxt("data.txt", delimiter= "\t", unpack = True)
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1146, in loadtxt
for x in read_data(_loadtxt_chunksize):
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1074, in read_data
items = [conv(val) for (conv, val) in zip(converters, vals)]
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1074, in <listcomp>
items = [conv(val) for (conv, val) in zip(converters, vals)]
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 781, in floatconv
return float(x)
ValueError: could not convert string to float: 'The dataset for gradient descent example can be downloaded from: http://themlbook.com/wiki/doku.php?id=gradient_descent'
I downloaded the CSV pointed in data.txt
and loaded it instead of it, but it didn't work as well:
$ python gradient_descent.py
Traceback (most recent call last):
File "gradient_descent.py", line 73, in <module>
x, y = np.loadtxt("Advertising.csv", delimiter= "\t", unpack = True)
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1146, in loadtxt
for x in read_data(_loadtxt_chunksize):
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1074, in read_data
items = [conv(val) for (conv, val) in zip(converters, vals)]
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1074, in <listcomp>
items = [conv(val) for (conv, val) in zip(converters, vals)]
File "/Users/fujisho/.pyenv/versions/3.7.4/lib/python3.7/site-packages/numpy/lib/npyio.py", line 781, in floatconv
return float(x)
ValueError: could not convert string to float: ',TV,radio,newspaper,sales'
It would be helpful if you can provide any tips to solve the problem.
Hi,
I was wondering if you will be interested to improve the running time of prediction strenght file. I did some tests and it takes so long. I can volunteer to optimized it
It would be very helpful to list all the packages needed for this specific repository. It makes it easy to install with a pip list for beginners.
The book and the repository are very useful Andriy, thanks for all your work.
I was reviewing this repo and at first sight, I felt some examples might not run due to hardcoded paths.
For example https://github.com/aburkov/theMLbook/blob/master/kmeans.py#L125
This directory might not be present.
We can probably assign an illustration directory within this repo.
plz provide data.txt file
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