Related Issues (20)
- Add functionality to list all generators in instance
- Add modelClass identifier to Elasticsearch index and API response
- Add appropriate response to Models().SKModel().load_model('<model_id>', connection_object) when non-existent model is specified.
- Align parameters in Data( ).train_test_split( ) with those in scikit-learn HOT 1
- Remove imbalanced-learn dependency. HOT 2
- Provide model ID in deployment response.
- Add language referencing classification in the readme and documentation
- Integrate top-n train and test results into framework
- Note behavior of predict() and predict_proba() in documentation and introduce check
- Restructure SKModels class to inherit from Models
- Remove references to 'formData' and replace with 'data' or 'payload'
- Change behavior of model ID retrieval
- Improve JSON read/write speeds
- Directed acyclic graph with hashes/salts for model version control HOT 1
- Move from .egg installations to wheel
- Use scikit-learn's precision_recall_fscore_support
- Use Elasticsearch's scroll functionality in place of max search size
- Use Elasticsearch's source filtering for obtaining model IDs
- Use pathlib (not OS) for managing directories
- Term conditional operator always the same
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