Eventually, they will want to see if implementing other models, such as neural networks, can improve accuracy."
#Ubuntu install github cli code
Currently, the team is working on scraping Rosetta Code, a large repository of code in hundred of different programming languages, for data that they can use for training the program and testing its accuracy. To optimize the program, they used Github’s checklist as a guideline for choosing the correct language rather than a hard-and-fast rule. The current solution the Github team at came up with is to use a machine learning algorithm called a Naïve Bayes Classifier. However, most languages simply don’t have enough unique quirks for this method to be accurate enough. For example, if the code contains “:- module”, then it’s probably") background-size: 1px 1px background-position: 0px calc(1em + 1px) "> Mercury. Even worse, code in one language can actually contain code in different languages, such as HTML, which can contain CSS and/or Javascript.Īt the moment, Github uses a giant checklist to identify unique quirks in the language. For example, ‘#’ in python indicates a comment, while in C it indicates a preprocessor command. Symbols used in one language often have different meanings in another. Identifying programming languages are surprisingly hard.
But how do you tell what language those files are written in?
Best I could locate right now is day, millions of files are uploaded onto Github, a coding repository where users share code and collaborate on projects.
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