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
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) |