Azure ML Scoring Tool

Use the Azure Machine Learning Scoring tool to score data from an Alteryx workflow. You must have an existing Microsoft Azure machine learning experiment. See Azure ML Training Tool.

To use this tool, sign up for a Microsoft Azure account.

Configure the tool

Experiment setup

• Experiment name: Provide a name for the experiment you want to use to score your input data. The Azure Machine Learning Scoring Tool will select the model with the highest performance metric (accuracy for classification; normalized root mean squared error for regression and forecasting) from the experiment you select.
  To avoid an error, the input data schema must match the original training data. For forecasting, the input data schema must be a list of future dates (or datetimes) that match the granularity forecasted.