DownloadKubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. A pipeline is a description of an ML workflow, including all of the components in the workflow and how they combine in the form of a graph. The pipeline includes the definition of the inputs (parameters) required to run the pipeline and the inputs and outputs of each component. A pipeline component is a self-contained set of user code, packaged as a Docker image, that performs one step in the pipeline. For example, a component can be responsible for data preprocessing, data transformation, model training, and so on.
Features
- Kubeflow pipelines are reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
- End to end orchestration enabling and simplifying the orchestration of end to end machine learning pipelines
- Easy experimentation making it easy for you to try numerous ideas and techniques, and manage your various trials/experiments.
- Easy re-use enabling you to re-use components and pipelines to quickly cobble together end to end solutions, without having to re-build each time.
- Documentation available
- Install Kubeflow Pipelines from choices described in Installation Options for Kubeflow Pipelines
- Kubeflow Pipelines Slack Channel
- Kubeflow Pipelines Community Meeting
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow Kubeflow pipelines
You Might Also Like
Our Free Plans just got better! | Auth0 by Okta
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Kubeflow pipelines!