Analyzer
functionality.pandas.DataFrame
or csv
files. You can use them for visual model evaluation, debugging and documentation.Dashboard
objects in Jupyter notebook or Colab or export as an HTML file.Profiles
. You can use them to integrate the data or model evaluation step into the ML pipeline.Monitors
that collect data and model metrics from a deployed ML service. You can use them to build live monitoring dashboards. Evidently helps configure the monitoring on top of the streaming data and emits the metrics. You can log and use the metrics elsewhere.