SKLearnΒΆ


The sklearn component provides data scientists with special functions on top of the scikit-learn Machine Learning library. It reports various training metrics to the xpresso.ai Controller during training. Data scientists can view these metrics on the xpresso.ai dashboard during and after experiment runs.

Name

sklearn

Purpose

To enable special functionality when using the scikit-learn ML library

Usage Scenarios

  • It can be used to enable reporting of training metrics when using the scikit-learn Machine Learning library

Created By

xpresso.ai Team

Support e-mail

support@xpresso.ai

Binary / Source / Both Versions

Source

Docker Image Reference

NA

Type of component

pipeline_job

Usage Instructions

Result

Reports training metrics back to xpresso.ai controller, which can be viewed on the Experiment Run Details page

Example