ChessData | contains millions of positions with stockfish evaluations | Machine Learning library

by r2dev2 Python Version: Current License: MIT

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

kandi X-RAY | ChessData Summary

ChessData is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. ChessData has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is an in progress dataset which contains millions of positions with stockfish evaluations. Please help contribute evaluations of the positions to the repo. So far, we have 12958035 evaluations.

Support

Quality

Security

License

Reuse

Support

ChessData has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of ChessData is current.

Quality

ChessData has no bugs reported.

Security

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

License

ChessData 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

ChessData 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.

Top functions reviewed by kandi - BETA

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

Returns the set of available names
Goes through the contents of the given search string
Return the names taken from GitHub
Return a set of all filenames
Prompt the user for a stockfish
Download stockfish
Find the stockfish installation
Unzip a file
Download a file from GitHub
Create a directory
Add msg to the file
Prints a progress bar
Return a progress bar string
Return the number of threads available
Return the number of threads
Prompt the user for name or github
Install a module
Send a notification
Prompt the user for a name choice
Prompt the given names
Write the contents of the file
Prompt the user for download
Create directory
Return the number of lines in a file
Send a file

Get all kandi verified functions for this library.

ChessData Key Features

No Key Features are available at this moment for ChessData.

ChessData Examples and Code Snippets

No Code Snippets are available at this moment for ChessData.

Community Discussions

Trending Discussions on ChessData

Keyerror when looping over a data frame column

QUESTION

Keyerror when looping over a data frame column

Asked 2021-Feb-08 at 19:25

I had a dataset, and I want to create a new data frame from a column in the original one. Chessdata is the original data frame and hizlisatranc is the one that I'm trying to create. However, it raises a keyerror. I couldn't fix it. Can someone please help?

...

ANSWER

Answered 2021-Feb-08 at 19:25

you can filter the df, with values in a range of value1 to value 2, so that only the rows that meet that condition are left. You can assign that to a new df like so:

Source https://stackoverflow.com/questions/66107858

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

Vulnerabilities

No vulnerabilities reported

Install ChessData

You can download it from GitHub.
You can use ChessData 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

To get started download a pre-built executable from the releases of chess contributor and run it. The evaluation should go in eval folder under same name.

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