The below article will cover the intricacies of setting up databases and heroku in respect to a flask app. This is more like a memo and will have out of sequence instructions or solutions to errors so read thoroughly.
You'll need the packages
| def log_run(gridsearch: sklearn.GridSearchCV, experiment_name: str, model_name: str, run_index: int, conda_env, tags={}): | |
| """Logging of cross validation results to mlflow tracking server | |
| Args: | |
| experiment_name (str): experiment name | |
| model_name (str): Name of the model | |
| run_index (int): Index of the run (in Gridsearch) | |
| conda_env (str): A dictionary that describes the conda environment (MLFlow Format) | |
| tags (dict): Dictionary of extra data and tags (usually features) |
The below article will cover the intricacies of setting up databases and heroku in respect to a flask app. This is more like a memo and will have out of sequence instructions or solutions to errors so read thoroughly.
You'll need the packages