शुरू करेंमुफ़्त में शुरू करें

Searching experiment results

MLflow makes it easy to query the results of your experiments, helping you track model performance and hyperparameters.

Let's examine your most recent experiment, finding the model with the lowest Mean Absolute Percentage Error (MAPE).

यह अभ्यास पाठ्यक्रम का हिस्सा है

Designing Forecasting Pipelines for Production

पाठ्यक्रम देखें

अभ्यास निर्देश

  • Search MLflow runs by the experiment_name.
  • Get the single best-performing model from all_results based on metrics.mape.
  • Print the subset of best_mape_model.

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

experiment_name = "hyperparameter_tuning"

# Search MLflow runs
all_results = mlflow.____(experiment_names=[____])

# Filter for the model with the best MAPE score
best_mape_model = all_results.____("metrics.mape").head(____)

# Print the model
print(____[["params.model_name", "metrics.mape"]])
कोड संपादित करें और चलाएँ