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