in diabetes_regression/training/train.py [0:0]
def main():
print("Running train.py")
# Define training parameters
ridge_args = {"alpha": 0.5}
# Load the training data as dataframe
data_dir = "data"
data_file = os.path.join(data_dir, 'diabetes.csv')
train_df = pd.read_csv(data_file)
data = split_data(train_df)
# Train the model
model = train_model(data, ridge_args)
# Log the metrics for the model
metrics = get_model_metrics(model, data)
for (k, v) in metrics.items():
print(f"{k}: {v}")