minituna | Simplified Optuna implementation for new contributors

by c-bata Python Version: Current License: No License

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

kandi X-RAY | minituna Summary

minituna is a Python library. minituna has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Simplified Optuna implementation for new contributors. Required Python version is 3.8 or later (due to the use of typing.Literal).

Support

Quality

Security

License

Reuse

Support

minituna has a low active ecosystem.

It has 48 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

minituna has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of minituna is current.

Quality

minituna has 0 bugs and 0 code smells.

Security

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

minituna code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

minituna does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

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

minituna saves you 230 person hours of effort in developing the same functionality from scratch.

It has 567 lines of code, 99 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Optimizes the objective function
Set trial state
Set trial value
Compute the MLPClassifier
Determines whether the trial is prune
Set intermediate value for trial
Returns whether this trial should be pruned
Set the value for the trial
Get all trials
Create a Study instance
Suggest a Categorical distribution
Suggest a new sample from the given distribution
Suggest a random float distribution
Suggest an integer distribution

Get all kandi verified functions for this library.

minituna Key Features

No Key Features are available at this moment for minituna.

minituna Examples and Code Snippets

No Code Snippets are available at this moment for minituna.

Community Discussions

No Community Discussions are available at this moment for minituna.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install minituna

You can download it from GitHub.
You can use minituna 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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