Model Development - Training Pipeline Script

[RobotPsychologist]

Training Pipeline Script

Code Location: /bg_control/0_meal_identification/meal_identification/meal_identification/modeling/train.py

Requirements:

1. A model instantiation function that can take a variety of parameter settings.
   1. This function should serve as a hyperparameter training loop: loads the specified dataset, the train_test split, the model choice, the model hyperparameter settings, and perform the fit, test predict, and error calculation.
   2. The function should also write the training runs training logs to models/training_logs directory.
2. A model loading function that can load a model from 0_meal_identification/meal_identification/models
   1. The model should be loadable either fitting or predicting new data
3. A model storing function that stores the trained models in 0_meal_identification/meal_identification/models

Useful Resources:

• https://www.sktime.net/en/stable/examples/03b_forecasting_transformers_pipelines_tuning.html

[andytubeee]

Interested

[NathanL15]

interested

[jogong2718]

interested

[paulpark6]

Interested