From e6b48c410aeeebfb53751a5b48507f0f8c6e0a84 Mon Sep 17 00:00:00 2001 From: Mike Burton Date: Fri, 7 Jun 2019 16:37:18 -0700 Subject: [PATCH] remove incorrect reference to Iris dataset --- .../energy_price_forecasting/energy_price_forecasting.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tables/automl/notebooks/energy_price_forecasting/energy_price_forecasting.ipynb b/tables/automl/notebooks/energy_price_forecasting/energy_price_forecasting.ipynb index e1f429bb3fc..681ad410c63 100644 --- a/tables/automl/notebooks/energy_price_forecasting/energy_price_forecasting.ipynb +++ b/tables/automl/notebooks/energy_price_forecasting/energy_price_forecasting.ipynb @@ -343,7 +343,7 @@ }, "cell_type": "markdown", "source": [ - "You can import your data to AutoML Tables from GCS or BigQuery. For this tutorial, you can use the [iris dataset](https://storage.cloud.google.com/rostam-193618-tutorial/automl-tables-v1beta1/iris.csv) as your training data. You can create a GCS bucket and upload the data into your bucket. The URI for your file is `gs://BUCKET_NAME/FOLDER_NAME1/FOLDER_NAME2/.../FILE_NAME`. Alternatively you can create a BigQuery table and upload the data into the table. The URI for your table is `bq://PROJECT_ID.DATASET_ID.TABLE_ID`.\n", + "You can import your data to AutoML Tables from GCS or BigQuery. You can create a GCS bucket and upload the data into your bucket. The URI for your file is `gs://BUCKET_NAME/FOLDER_NAME1/FOLDER_NAME2/.../FILE_NAME`. Alternatively you can create a BigQuery table and upload the data into the table. The URI for your table is `bq://PROJECT_ID.DATASET_ID.TABLE_ID`.\n", "\n", "Importing data may take a few minutes or hours depending on the size of your data. If your Colab times out, run the following command to retrieve your dataset. Replace `dataset_name` with its actual value obtained in the preceding cells.\n", "\n",