challenge | Please follow

by radix-ai Shell Version: Current License: No License

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kandi X-RAY | Hiring Challenge Summary

Hiring Challenge is a Shell library. Hiring Challenge has no bugs, it has no vulnerabilities and it has low support. You can download it from GitLab.

The goal of this challenge is to build a Machine Learning model to predict the genres of a movie, given its synopsis. Your solution will be evaluated on the performance of your Machine Learning model and on the quality of your code. To succeed, you must implement a Python package called challenge, which exposes a Flask REST API according to the REST API specification in api.yml (you can view this specification at editor.swagger.io).

Support

Quality

Security

License

Reuse

Support

Hiring Challenge has a low active ecosystem.

It has 5 star(s) with 218 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Hiring Challenge has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Hiring Challenge is current.

Quality

Hiring Challenge has no bugs reported.

Security

Hiring Challenge has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Hiring Challenge 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

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

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

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Hiring Challenge Key Features

No Key Features are available at this moment for Hiring Challenge.

Hiring Challenge Examples and Code Snippets

No Code Snippets are available at this moment for Hiring Challenge.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Hiring Challenge

Go to the Kaggle competition for this challenge and click on Join Competition.
Go to your Kaggle My Account page and click on Create New API Token to download your Kaggle authentication file kaggle.json.
Fork this repo.
In your forked challenge repo: Go to Settings > General > Visibility [...] and set the project visibility to Private. Go to Settings > Members > Invite Member and add radixai-challenge as a Reporter so we can follow along with your progress. Go to Settings > CI / CD > Variables and: Add a KAGGLE_USERNAME key with your Kaggle username as value. Add a KAGGLE_KEY key with the key from the kaggle.json you downloaded in the previous section.
Install Miniconda if you don't have it already.
Run conda env create from the repo's base directory to create the repo's conda environment from environment.yml.
Run conda activate challenge-env to activate the conda environment.

Support

For any new features, suggestions and bugs create an issue on GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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