Programming IBM Watson Pipelines
You can program in a pipeline by using a notebook, or running Bash scripts in a pipeline.
Programming with Bash scripts
Run Bash scripts in a pipeline to compute or process data as part of the flow.
Programming with notebooks
You can use a notebook to run an end-to-end pipeline or to run parts of a pipeline, such as model training.
- For details on creating notebooks and for links to sample notebooks, see Notebooks.
- For details on running a notebook as a pipeline job, see Run notebook job.
Using the Python client
Use the Watson Pipelines Python client for working with pipelines in a notebook.
To install the library, use pip
to install the latest package of ibm-watson-pipelines
in your coding environment. For example, run the following code in your notebook environment or console.
!pip install ibm-watson-pipelines
Use the client documentation for syntax and descriptions for commands that access pipeline components.
Parent topic: Creating a pipeline