PRML | PRML algorithms implemented in Python | Machine Learning library

by ctgk Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | PRML Summary

PRML is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning applications. PRML has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning".

Support

Quality

Security

License

Reuse

Support

PRML has a medium active ecosystem.

It has 10991 star(s) with 3231 fork(s). There are 425 watchers for this library.

It had no major release in the last 6 months.

There are 15 open issues and 7 have been closed. On average issues are closed in 231 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PRML is current.

Quality

PRML has 0 bugs and 0 code smells.

Security

PRML has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PRML code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PRML is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

PRML releases are not available. You will need to build from source code and install.

It has 4453 lines of code, 592 functions and 163 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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PRML Key Features

No Key Features are available at this moment for PRML.

PRML Examples and Code Snippets

No Code Snippets are available at this moment for PRML.

Community Discussions

Trending Discussions on PRML

How to handle "ValueError: Found input variables with inconsistent numbers of samples: [16979, 16976]" while creating confusion matrix?

Does github have a option to display HTML code like a compiler

QUESTION

How to handle "ValueError: Found input variables with inconsistent numbers of samples: [16979, 16976]" while creating confusion matrix?

Asked 2021-Oct-15 at 10:35

How to handle ValueError: Found input variables with inconsistent numbers of samples: [16979, 16976] while creating confusion matrix?

I have tried checking in different post but could not find answer, please help.I am using CNN model here to train my model.I am getting above error, I am new to CNN classifier and sklearn libraries.

...

ANSWER

Answered 2021-Oct-15 at 10:35

It seems to be a problem related to the steps parameter of the predict_generator.

You should add 1 to STEP_SIZE_TEST in order to include the last samples as follows:

Source https://stackoverflow.com/questions/69583146

QUESTION

Does github have a option to display HTML code like a compiler

Asked 2020-Oct-29 at 19:59

I know that for Jupyter notebook you can get stuff compiled like - https://github.com/ctgk/PRML/blob/63499fffa5c19ec58ece35ed51692ff64112e4dd/notebooks/ch01_Introduction.ipynb where we use .ipynb. But, since I am kinda new to Github I don't know if there is an option like that in HTML since when you do .HTML only code comes. I wanna do this code: https://github.com/QuantzLab/QuantzLabWebsite/tree/main/Auth%20Files%20-%20PHP. I am a contributor to that repo.

...

ANSWER

Answered 2020-Oct-29 at 19:59

GitHub will not render your HTML for you on their site. You'll need to clone the repo and use a web browser to render the file

Source https://stackoverflow.com/questions/64594861

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PRML

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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