Artifacts

Overview

Artifacts are generated by runs and may consist of one or a group of files. They have a type that can be freely assigned as well as the artifact name.

Example

Experiment 1: Linear Regression

• Run 1: Data Preparation
  • Artifact 1: housing.csv
• Run 2: Test Train Split
  • Artifact 1: Pipeline
• Run 3: Linear Regression Training
  • Artifact 2: Model

Features

Show Artifacts

Instructions

GUI

1. Select the relevant project by clicking it in the home view or via the Projects dropdown in the main navigation
2. Click the Artifacts button in the side navigation

Create Artifact

Instructions

Code

artifact = run.create_artifact(name="my-dataset", artifact_type="dataset", metadata={})
run.add_artifact_file(artifact, 'dataset.csv')