{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/5"}],"enrichment":{"capability":"Collects model input and output data during Azure Machine Learning inference for monitoring and debugging, logging tabular data to configurable sinks at arbitrary points in a scoring pipeline.","skillfed_tags":["azure-ml","model-monitoring","data-collection"],"use_cases":["Log model inputs and outputs in production Azure ML deployments to detect data drift or model degradation.","Debug scoring pipeline issues by capturing intermediate data transformations before and after preprocessing.","Correlate model predictions with their input data for post-hoc analysis and model validation.","Collect training data for retraining by capturing live inference patterns in production.","Audit model decisions by maintaining a timestamped record of what data was scored and what the model returned."],"what_it_does":"azureml-ai-monitoring is Microsoft's SDK for instrumenting Azure Machine Learning scoring scripts to collect model data during inference. It provides a Collector class that wraps pandas DataFrames and logs them to configured sinks (typically cloud storage) before, during, and after model predictions, enabling post-deployment monitoring and debugging of model behavior.\n\nThe package is designed for use in score.py files deployed to Azure ML endpoints. It correlates input and output data using context tokens, allowing you to trace data transformations and model predictions back to their source requests. It depends on pandas for DataFrame handling and requests for network communication, and supports configurable error handlers so collection failures don't crash your scoring pipeline.","worth_installing":"Yes, if you are actively running models on Azure ML endpoints and need built-in data collection for monitoring. The low install friction and permissive license make adoption straightforward. However, the dormant maintenance status (841 days since last release) means you should verify compatibility with your current Azure ML SDK version and expect no active support or updates. Not suitable if you need ongoing development or are using non-Azure ML deployment platforms."},"id":"azureml-ai-monitoring","links":{"html":"https://skillfed.io/packages/azureml-ai-monitoring","md":"https://skillfed.io/packages/azureml-ai-monitoring.md","pypi":"https://pypi.org/project/azureml-ai-monitoring/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-04-25","license_spdx":null,"license_treatment":"permissive","name":"azureml-ai-monitoring","python_support":"unspecified","summary":"Microsoft Azure Machine Learning Python SDK v2 for collecting model data during operationalization"},"popularity":{"monthly_downloads":102339,"position":12874,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}