If this feature request related to a problem? Please describe.
This feature request aims to address the problem of packaging a machine learning model file within the Python package. Currently, the absence of a model file limits the usability and portability of the package, as users need to separately obtain and load the model file to utilize the package's functionality. By including a pre-trained model file within the package, users can easily install the package and immediately start using the provided model for inference tasks without additional manual steps.
Alternatives Considered If Applicable
N/A
Rationale
The addition of a model file to the pip package offers several benefits:
Enhanced Usability: Simplifies the user experience by providing a complete solution within the package, eliminating the need for users to locate and download the model file separately.
Improved Portability: Enables users to deploy the package in different environments without worrying about managing external dependencies, thus enhancing the portability and reproducibility of their workflows.
Streamlined Installation: Facilitates a seamless installation process for users, reducing setup time and potential errors associated with manual configuration steps.
Implementation Ideas
Identify the appropriate machine learning model file to include in the package. This could be a pre-trained model file serialized in a common format such as HDF5, Pickle, or ONNX.
Ensure that the model file is compatible with the package's functionality and can be easily loaded and utilized by users.
Update the package's setup script to include the model file in the distribution package generated by setuptools or Poetry.
Provide clear documentation and usage examples demonstrating how users can access and utilize the included model file within the package.
Consider implementing versioning or compatibility checks to ensure that the included model file matches the package version and is compatible with future updates.
Additional Context
Including a model file within the pip package enhances the overall user experience and makes the package more accessible to a wider audience. By bundling the model file with the package, users can seamlessly integrate machine learning capabilities into their Python applications, accelerating development and deployment workflows. Additionally, providing a pre-trained model file within the package aligns with the project's goal of delivering comprehensive and user-friendly solutions to its users.
If this feature request related to a problem? Please describe.
This feature request aims to address the problem of packaging a machine learning model file within the Python package. Currently, the absence of a model file limits the usability and portability of the package, as users need to separately obtain and load the model file to utilize the package's functionality. By including a pre-trained model file within the package, users can easily install the package and immediately start using the provided model for inference tasks without additional manual steps.
Alternatives Considered If Applicable
N/A
Rationale
The addition of a model file to the pip package offers several benefits:
Implementation Ideas
Additional Context
Including a model file within the pip package enhances the overall user experience and makes the package more accessible to a wider audience. By bundling the model file with the package, users can seamlessly integrate machine learning capabilities into their Python applications, accelerating development and deployment workflows. Additionally, providing a pre-trained model file within the package aligns with the project's goal of delivering comprehensive and user-friendly solutions to its users.