model.py: design and create the basic model info class #30
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR is to fix #29 and it introduces three new classes: ModelInfo, ModelDetails, and ModelMetrics. These classes are designed to encapsulate all relevant information about an Inference model within a inference pipeline.
ModelMetrics holds the performance metrics of a inference learning model, such as accuracy, precision, recall, F1 score, and loss value. Each of these metrics can be accessed using their respective property methods.
ModelDetails encapsulates various details about the model, including the model's name, version, the framework used for training, the target, and the data type of the model.
ModelInfo ties all this information together, containing an instance of ModelDetails, the model's upload date, and an instance of ModelMetrics. Additionally, it includes a unique identifier for each model using Python's built-in uuid library.