document-classification-client/examples at master · cemaybe/document-classification-client

Name		Name	Last commit message	Last commit date
parent directory ..
data		data
README.md		README.md
classification_default_model.ipynb		classification_default_model.ipynb
install_jupyterlab.sh		install_jupyterlab.sh
train_and_evaluate_custom_model.ipynb		train_and_evaluate_custom_model.ipynb

README.md

In order to use the example train_and_evaluate_custom_model.ipynb two prerequisites are required:

You have access to a service key for the SAP AI Business Services - Document Classification service
1. You will need to have access to SAP Cloud Plattform given via the SAP Cloud Platform Enterprise Agreement
2. For general documentation about service keys, see SAP Cloud Platform Help Portal - Creating Service Keys
3. You can also check the service specific setup help: Document Classification Help Portal - Initial Setup.
You need a Jupyterlab instance (below are the instructions for setup locally on your laptop)
1. An example script to set up anaconda and start jupyterlab on your local machine is provided here. This script might need modifications based on OS version (example used is based on Ubuntu 16.04). Please consult the anaconda installation guide or your preffered python package manager for details regarding your OS.