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Fix broken link (kubeflow#1354)
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pugangxa authored Feb 4, 2021
1 parent ee4b597 commit 2d70680
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2 changes: 1 addition & 1 deletion docs/samples/v1alpha2/onnx/README.md
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Expand Up @@ -18,7 +18,7 @@ $ inferenceservice.serving.kubeflow.org/style-sample configured
## Run a sample inference

1. Setup env vars
The first step is to [determine the ingress IP and ports](../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
The first step is to [determine the ingress IP and ports](../../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`

```
export MODEL_NAME=style-sample
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2 changes: 1 addition & 1 deletion docs/samples/v1alpha2/pmml/README.md
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Expand Up @@ -20,7 +20,7 @@ Expected Output
$ inferenceservice.serving.kubeflow.org/pmml-demo created
```
## Run a prediction
The first step is to [determine the ingress IP and ports](../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
The first step is to [determine the ingress IP and ports](../../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`

```
MODEL_NAME=pmml-demo
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2 changes: 1 addition & 1 deletion docs/samples/v1alpha2/pytorch/README.md
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Expand Up @@ -85,7 +85,7 @@ OMP_NUM_THREADS is commonly used in numpy, PyTorch, and Tensorflow to perform mu
We want one thread per worker instead of many threads per worker to avoid contention.

## Run a prediction
The first step is to [determine the ingress IP and ports](../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
The first step is to [determine the ingress IP and ports](../../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`

```
MODEL_NAME=pytorch-cifar10
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2 changes: 1 addition & 1 deletion docs/samples/v1alpha2/rollouts/README.md
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Expand Up @@ -31,7 +31,7 @@ my-model-predictor-default-wfgrl-deployment-75c7845fcb-v5g7r 2/2 Running
```

## Run a prediction
The first step is to [determine the ingress IP and ports](../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
The first step is to [determine the ingress IP and ports](../../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`

```
MODEL_NAME=my-model
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2 changes: 1 addition & 1 deletion docs/samples/v1alpha2/sklearn/README.md
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Expand Up @@ -53,7 +53,7 @@ Expected Output
$ inferenceservice.serving.kubeflow.org/sklearn-iris created
```
## Run a prediction
The first step is to [determine the ingress IP and ports](../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
The first step is to [determine the ingress IP and ports](../../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`

```
MODEL_NAME=sklearn-iris
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2 changes: 1 addition & 1 deletion docs/samples/v1alpha2/tensorflow/README.md
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Expand Up @@ -17,7 +17,7 @@ $ inferenceservice.serving.kubeflow.org/flowers-sample configured
```

## Run a prediction
The first step is to [determine the ingress IP and ports](../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
The first step is to [determine the ingress IP and ports](../../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
```
MODEL_NAME=flowers-sample
INPUT_PATH=@./input.json
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2 changes: 1 addition & 1 deletion docs/samples/v1alpha2/xgboost/README.md
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Expand Up @@ -69,7 +69,7 @@ $ inferenceservice.serving.kubeflow.org/xgboost-iris created
```

## Run a prediction
The first step is to [determine the ingress IP and ports](../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`
The first step is to [determine the ingress IP and ports](../../../../README.md#determine-the-ingress-ip-and-ports) and set `INGRESS_HOST` and `INGRESS_PORT`

```
MODEL_NAME=xgboost-iris
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