tihnessa

tihnessa

Programming Machine Learning: matplotlib broadcast error on page 58

When I try to run the code multiple_regression_without_bias.py from page 58 of the book, I get the following error:

File “[path snipped]/multilple_regression_without_bias.py”, line 13, in gradient
return 2 * np.matmul(X.T * (predict(X, w) - Y)) / X.shape[0]
ValueError: operands could not be broadcast together with shapes (3,30) (30,1)

This happens whether I run the code I’ve typed in or the code I’ve downloaded from the PragProg website.

For information, my versions are:
Python 3.9.7
Numpy 1.26.3

Any help or advice would be greatly appreciated.

First Post!

nusco

nusco

Author of Metaprogramming Ruby & Programming Machine Learning

Hello, @tihnessa! Sorry for the slow reply. I was on travel.

Somehow, the code you’re using isn’t the same as in the current book and downloadable code. It’s not:

return 2 * np.matmul(X.T * (predict(X, w) - Y)) / X.shape[0]

but rather:

return 2 * np.matmul(X.T, (predict(X, w) - Y)) / X.shape[0]

(Note the comma after X.T, as opposed to the multiplication).

I have no idea what happened here. Maybe this was a bug in the book that I later fixed, and you have an older version of the book+code? Or maybe you were experimenting with the code and changed that line? In any case, that seems to be the issue.

Can you please confirm that you got it fixed?

Where Next?

Popular Pragmatic Bookshelf topics Top

johnp
Hi Brian, Looks like the api for tinydb has changed a little. Noticed while working on chapter 7 that the .purge() call to the db throws...
New
yulkin
your book suggests to use Image.toByteData() to convert image to bytes, however I get the following error: "the getter ‘toByteData’ isn’t...
New
New
Chrichton
Dear Sophie. I tried to do the “Authorization” exercise and have two questions: When trying to plug in an email-service, I found the ...
New
adamwoolhether
When trying to generate the protobuf .go file, I receive this error: Unknown flag: --go_opt libprotoc 3.12.3 MacOS 11.3.1 Googling ...
New
brian-m-ops
#book-python-testing-with-pytest-second-edition Hi. Thanks for writing the book. I am just learning so this might just of been an issue ...
New
hgkjshegfskef
The test is as follows: Scenario: Intersecting a scaled sphere with a ray Given r ← ray(point(0, 0, -5), vector(0, 0, 1)) And s ← sphere...
New
New
Keton
When running the program in chapter 8, “Implementing Combat”, the printout Health before attack was never printed so I assumed something ...
New
New

Other popular topics Top

DevotionGeo
I know that these benchmarks might not be the exact picture of real-world scenario, but still I expect a Rust web framework performing a ...
New
AstonJ
Or looking forward to? :nerd_face:
485 12328 258
New
Exadra37
I am thinking in building or buy a desktop computer for programing, both professionally and on my free time, and my choice of OS is Linux...
New
dasdom
No chair. I have a standing desk. This post was split into a dedicated thread from our thread about chairs :slight_smile:
New
AstonJ
Curious to know which languages and frameworks you’re all thinking about learning next :upside_down_face: Perhaps if there’s enough peop...
New
New
Margaret
Hello everyone! This thread is to tell you about what authors from The Pragmatic Bookshelf are writing on Medium.
1147 28379 760
New
AstonJ
This is cool! DEEPSEEK-V3 ON M4 MAC: BLAZING FAST INFERENCE ON APPLE SILICON We just witnessed something incredible: the largest open-s...
New
AstonJ
This is a very quick guide, you just need to: Download LM Studio: https://lmstudio.ai/ Click on search Type DeepSeek, then select the o...
New
Fl4m3Ph03n1x
Background Lately I am in a quest to find a good quality TTS ai generation tool to run locally in order to create audio for some videos I...
New

Sub Categories: