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Update TFX Pipeline Example Readme #1011

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Mar 21, 2019
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Update TFX Pipeline Example Readme #1011

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10 changes: 5 additions & 5 deletions samples/tfx-oss/README.md
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Expand Up @@ -4,7 +4,7 @@ This sample walks through running [TFX](https://github.com/tensorflow/tfx) [Taxi

## Overview

This pipeline demonstrates the TFX capablities at scale. The pipeline uses a public BigQuery dataset and uses GCP services to preprpocess data (Dataflow) and train the model (Cloud ML Engine). The model is then deployed to Cloud ML Engine Prediction service.
This pipeline demonstrates the TFX capabilities at scale. The pipeline uses a public BigQuery dataset and uses GCP services to preprocess data (Dataflow) and train the model (Cloud ML Engine). The model is then deployed to Cloud ML Engine Prediction service.


## Setup
Expand Down Expand Up @@ -44,7 +44,7 @@ gfile.Copy('tfx/examples/chicago_taxi_pipeline/taxi_utils.py', 'gs://<my bucket>

Modify the pipeline configuration file at
```
tfx/examples/chicago_taxi_pipeline/taxi_pipeline_kubeflow_large.py
tfx/examples/chicago_taxi_pipeline/taxi_pipeline_kubeflow.py
```
Configure
- Set `_input_bucket` to the GCS directory where you've copied taxi_utils.py. I.e. gs://<my bucket>/<path>/
Expand All @@ -54,7 +54,7 @@ Configure

## Compile and run the pipeline
```
python tfx/examples/chicago_taxi_pipeline/taxi_pipeline_kubeflow_large.py
python tfx/examples/chicago_taxi_pipeline/taxi_pipeline_kubeflow.py
```
This will generate a file named chicago_taxi_pipeline_kubeflow_large.tar.gz
Upload this file to the Pipelines Cluster and crate a run.
This will generate a file named chicago_taxi_pipeline_kubeflow.tar.gz
Upload this file to the Pipelines Cluster and create a run.