hypopt | Parallelized hyper-param optimization

by cgnorthcutt Python Version: 1.0.9 License: Non-SPDX

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

kandi X-RAY | hypopt Summary

hypopt is a Python library. hypopt has no bugs, it has no vulnerabilities, it has build file available and it has low support. However hypopt has a Non-SPDX License. You can install using 'pip install hypopt' or download it from GitHub, PyPI.

⏸ Parallelized hyper-param optimization with validation set, not crossval

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Quality

Security

License

Reuse

Support

hypopt has a low active ecosystem.

It has 70 star(s) with 14 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 10 have been closed. On average issues are closed in 24 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hypopt is 1.0.9

Quality

hypopt has 0 bugs and 0 code smells.

Security

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

hypopt code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hypopt has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

hypopt 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.

It has 779 lines of code, 45 functions and 9 files.

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

Top functions reviewed by kandi - BETA

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

Fit the model
Compute the score
Run a single thread job
Make a shared immutable instance
Perform a parallel parameter optimization
Predict probabilities for X
Compute the accuracy of the model
Predict given X

Get all kandi verified functions for this library.

hypopt Key Features

No Key Features are available at this moment for hypopt.

hypopt Examples and Code Snippets

No Code Snippets are available at this moment for hypopt.

Community Discussions

Trending Discussions on hypopt

Hypopt hyperparameter tuning error: 'sklearn.metrics' has no attribute 'scorer'

QUESTION

Hypopt hyperparameter tuning error: 'sklearn.metrics' has no attribute 'scorer'

Asked 2020-Dec-13 at 19:54

I am trying to perform GridSearch with hypopt for a multiclassification task.

...

ANSWER

Answered 2020-Dec-13 at 19:52

There is a compatibility issue between hypopt and sklearn versions, and the error message is pretty self explanatory.

I have:

Source https://stackoverflow.com/questions/65156471

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

Vulnerabilities

No vulnerabilities reported

Install hypopt

You can install using 'pip install hypopt' or download it from GitHub, PyPI.
You can use hypopt 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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