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Flask API endpoint for accessing all the machine learning models #21
I suggest adding a Flask API endpoint to the repository, streamlining access to machine learning models. Presently, navigating the codebase to find individual models is tedious. This feature would offer users a straightforward HTTP interface for interacting with the models, enhancing usability. The endpoint should provide a list of available models with pertinent metadata, and allow users to request predictions by submitting input data. Error handling should be robust, ensuring informative responses for invalid requests. Implementation will involve Flask for web framework, intuitive route design, and serialization for data transmission. Consideration should be given to compatibility with common data formats and potential authentication mechanisms. This addition promises to simplify model interaction, promote code maintainability, and foster community engagement through feedback and documentation.
I suggest adding a Flask API endpoint to the repository, streamlining access to machine learning models. Presently, navigating the codebase to find individual models is tedious. This feature would offer users a straightforward HTTP interface for interacting with the models, enhancing usability. The endpoint should provide a list of available models with pertinent metadata, and allow users to request predictions by submitting input data. Error handling should be robust, ensuring informative responses for invalid requests. Implementation will involve Flask for web framework, intuitive route design, and serialization for data transmission. Consideration should be given to compatibility with common data formats and potential authentication mechanisms. This addition promises to simplify model interaction, promote code maintainability, and foster community engagement through feedback and documentation.
Kindly assign this to me in gssoc.