You are viewing documentation for Kubeflow 1.7

This is a static snapshot from the time of the Kubeflow 1.7 release.
For up-to-date information, see the latest version.

Training Operators

Training of ML models in Kubeflow through operators
TensorFlow Training (TFJob)

Using TFJob to train a model with TensorFlow

PaddlePaddle Training (PaddleJob)

Using PaddleJob to train a model with PaddlePaddle

PyTorch Training (PyTorchJob)

Using PyTorchJob to train a model with PyTorch

MXNet Training (MXJob)

Using MXJob to train a model with Apache MXNet

XGBoost Training (XGBoostJob)

Using XGBoostJob to train a model with XGBoost

MPI Training (MPIJob)

Instructions for using MPI for training

Job Scheduling

How to schedule a job with gang-scheduling

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Last modified April 6, 2021: Clean up "Frameworks for training" + rename to "Training Operators" (#2584) (a0ef0be)