MLX Katalog

MLX Katalog is a project to hold the default content to bootstrap Machine Learning Exchange.

Pipelines

You can upload files under pipeline-samples to the Machine Learning Exchange Components page to register a new component.

Sample Pipelines: monitor_quality, monitor_fairness, wml_train

Pipeline Components

You can upload files under component-samples to the Machine Learning Exchange Components page to register a new component.

Sample Components: monitor_quality, monitor_fairness, wml_train

Models

You can upload files under model-samples to the Machine Learning Exchange model page to register a new model.

Sample Models: image-completer

Datasets

You can upload files under dataset-samples to the Machine Learning Exchange Datasets page to register a new Dataset.

Sample Models: image-completer

Notebooks

You can upload files under model-samples to the Machine Learning Exchange Notebooks page to register a new notebook.

Sample Notebooks: Watson-ML-pipeline is simple end to end pipeline notebook that trains a model on Watson Machine Learning. Then it stores and deploys the trained model as web service on Watson Machine Learning.