pyprojroot | Finding project directories in Python

by chendaniely Python Version: 0.3.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyprojroot Summary

pyprojroot is a Python library typically used in Data Science applications. pyprojroot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyprojroot' or download it from GitHub, PyPI.

Finding project directories in Python (data science) projects, just like there R rprojroot and here packages

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Quality

Security

License

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pyprojroot has a low active ecosystem.

It has 76 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 6 have been closed. On average issues are closed in 40 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyprojroot is 0.3.0

Quality

pyprojroot has 0 bugs and 0 code smells.

Security

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

pyprojroot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyprojroot 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

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 74 lines of code, 4 functions and 5 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed pyprojroot and discovered the below as its top functions. This is intended to give you an instant insight into pyprojroot implemented functionality, and help decide if they suit your requirements.

Return the path to the project directory .
Return path to project root .

Get all kandi verified functions for this library.

pyprojroot Key Features

No Key Features are available at this moment for pyprojroot.

pyprojroot Examples and Code Snippets

No Code Snippets are available at this moment for pyprojroot.

Community Discussions

Trending Discussions on pyprojroot

BayesianOptimization fails due to float error

QUESTION

BayesianOptimization fails due to float error

Asked 2022-Mar-21 at 22:34

I want to optimize my HPO of my lightgbm model. I used a Bayesian Optimization process to do so. Sadly my algorithm fails to converge.

MRE

...

ANSWER

Answered 2022-Mar-21 at 22:34

This is related to a change in scipy 1.8.0, One should use -np.squeeze(res.fun) instead of -res.fun[0]

https://github.com/fmfn/BayesianOptimization/issues/300

The comments in the bug report indicate reverting to scipy 1.7.0 fixes this,

It seems the fix is been proposed in the BayesianOptimization package: https://github.com/fmfn/BayesianOptimization/pull/303

But this has not been merged and released yet, so you could either:

fall back to scipy 1.7.0
use the forked github version of BayesianOptimization with the patch (https://github.com/samFarrellDay/BayesianOptimization)
apply the patch in issue 303 manually on your system

Source https://stackoverflow.com/questions/71460894

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

Vulnerabilities

No vulnerabilities reported

Install pyprojroot

You can install using 'pip install pyprojroot' or download it from GitHub, PyPI.
You can use pyprojroot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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