embedding documents with jupyter

This workflow demonstrates using a Jupyter notebook from within KNIME to do a t-SNE embedding of a set of documents.

embedding documents with jupyter



EXAMPLES Server: 07_Scripting/03_Python/02_embedding_documents_with_jupyter07_Scripting/03_Python/02_embedding_documents_with_jupyter*
Download a zip-archive




* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually