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Yao Xiao authored and Yao Xiao committed Oct 22, 2020
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Katib is a Kubernetes-based system for [Hyperparameter Tuning][1] and [Neural Architecture Search][2]. Katib supports a number of ML frameworks, including TensorFlow, Apache MXNet, PyTorch, XGBoost, and others.

[TEST]
Table of Contents
=================

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After deploy everything, you can run examples to verify the installation.
Examples bellow are for v1beta1 version.

This is example for TF operator:
This is an example for TF operator:

```
kubectl create -f https://raw.githubusercontent.com/kubeflow/katib/master/examples/v1beta1/tfjob-example.yaml
```

This is example for PyTorch operator:
This is an example for PyTorch operator:

```
kubectl create -f https://raw.githubusercontent.com/kubeflow/katib/master/examples/v1beta1/pytorchjob-example.yaml
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