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updated readme for support Jupyter #2336

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Sep 5, 2019
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updated readme for support Jupyter #2336

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7 changes: 4 additions & 3 deletions tables/automl/notebooks/census_income_prediction/README.md
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Expand Up @@ -22,7 +22,7 @@ The dataset consists of over 30k rows, where each row corresponds to a different


## Solution Walkthrough
The solution has been developed using [Google Colab Notebook](https://colab.research.google.com/notebooks/welcome.ipynb).
The solution has been developed using [Google Colab Notebook](https://colab.research.google.com/notebooks/welcome.ipynb) or in Jupyter (see [AI Platform Notebooks](https://cloud.google.com/ai-platform-notebooks/)).



Expand All @@ -31,13 +31,14 @@ Steps Involved


### 1. Set up
The first step in this process was to set up the project. We referred to the [AutoML tables documentation](https://cloud.google.com/automl-tables/docs/) and take the following steps:
The first step in this process was to set up the project. We referred to the [AutoML tables documentation](https://cloud.google.com/automl-tables/docs/) and take the following steps if run in Colab:
* Create a Google Cloud Platform (GCP) project
* Enable billing
* Enable the AutoML API
* Enable the AutoML Tables API
* Create a service account, grant required permissions, and download the service account private key.

**If you are using AI Platform Notebooks**, your environment is already authenticated

### 2. Initialize and authenticate

Expand Down Expand Up @@ -93,4 +94,4 @@ Note: If the model has not finished deployment, the prediction will NOT work.
### 7. Batch Prediction


There is a validation csv file provided with a few rows of data not used in the training or testing for you to run a batch prediction with. The csv is linked in the text of the colab as well as [here](https://storage.cloud.google.com/cloud-ml-data/automl-tables/notebooks/census_income_batch_prediction_input.csv) .
There is a validation csv file provided with a few rows of data not used in the training or testing for you to run a batch prediction with. The csv is linked in the text of the colab as well as [here](https://storage.cloud.google.com/cloud-ml-data/automl-tables/notebooks/census_income_batch_prediction_input.csv) .