From 4839350b5a635bb707d6c726174fece33bc47ae8 Mon Sep 17 00:00:00 2001 From: Ryan Culbertson Date: Thu, 21 Mar 2019 02:55:36 -0400 Subject: [PATCH] Update TFX Pipeline Example Readme (#1011) In the tfx repo, taxi_pipeline_kubeflow_large.py has been renamed to taxi_pipeline_kubeflow.py. This commit updates the readme to reflect that change and also fixes a few minor typos. --- samples/tfx-oss/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/samples/tfx-oss/README.md b/samples/tfx-oss/README.md index acc3f74360e..24cf92af742 100644 --- a/samples/tfx-oss/README.md +++ b/samples/tfx-oss/README.md @@ -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 @@ -44,7 +44,7 @@ gfile.Copy('tfx/examples/chicago_taxi_pipeline/taxi_utils.py', 'gs:// 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://// @@ -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.