A framework for the comparative training and evaluation of statistical and deep learning models for multi-feature categorical sequence modeling, utilizing feature fusion and automated with MLflow and Optuna integration.
machine-learning deep-learning pytorch transformer lstm hyperparameter-optimization sequence-to-sequence gpt data-fusion lstm-attention markov-models feature-fusion mlflow optuna sequence-modeling multi-features experiment-automation experiment-tracker variable-order-markov-models multi-dimensional-sequence-modeling
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Updated
Nov 3, 2024 - Python