artifacts

How to fix Artifacts not showing in MLflow UI Question: I’d used MLflow and logged parameters using the function below (from pydataberlin). def train(alpha=0.5, l1_ratio=0.5): # train a model with given parameters warnings.filterwarnings("ignore") np.random.seed(40) # Read the wine-quality csv file (make sure you’re running this from the root of MLflow!) data_path = "data/wine-quality.csv" train_x, train_y, …