Merge pull request GoogleCloudPlatform#142 from GoogleCloudPlatform/ajayhemnani-patch-1

Update lab-02.ipynb

Author: ajayhemnani

workshops/tfx-caip-tf23/lab-02-tfx-pipeline/labs/lab-02.ipynb

@@ -264,7 +264,7 @@
     "\n",
     "* `MODEL_NAME` - the pipeline's unique model output name for AI Platform Prediction. For multiple pipeline runs, each pushed blessed model will create a new version with the format `'v{}'.format(int(time.time()))`.\n",
     "\n",
-    "* `DATA_ROOT_URI` - the URI for the raw lab dataset `gs://workshop-datasets/covertype/small`.\n",
+    "* `DATA_ROOT_URI` - the URI for the raw lab dataset `gs://cloud-training/OCBL203/workshop-datasets`.\n",
     "\n",
     "* `CUSTOM_TFX_IMAGE` - the image name of your pipeline container build by skaffold and published by `Cloud Build` to `Cloud Container Registry` in the format `'gcr.io/{}/{}'.format(PROJECT_ID, PIPELINE_NAME)`.\n",
     "\n",
@@ -285,7 +285,7 @@
    "source": [
     "PIPELINE_NAME = 'tfx_covertype_continuous_training'\n",
     "MODEL_NAME = 'tfx_covertype_classifier'\n",
-    "DATA_ROOT_URI = 'gs://workshop-datasets/covertype/small'\n",
+    "DATA_ROOT_URI = 'gs://cloud-training/OCBL203/workshop-datasets'\n",
     "CUSTOM_TFX_IMAGE = 'gcr.io/{}/{}'.format(PROJECT_ID, PIPELINE_NAME)\n",
     "RUNTIME_VERSION = '2.3'\n",
     "PYTHON_VERSION = '3.7'\n",

workshops/tfx-caip-tf23/lab-02-tfx-pipeline/solutions/lab-02.ipynb

@@ -264,7 +264,7 @@
     "\n",
     "* `MODEL_NAME` - the pipeline's unique model output name for AI Platform Prediction. For multiple pipeline runs, each pushed blessed model will create a new version with the format `'v{}'.format(int(time.time()))`.\n",
     "\n",
-    "* `DATA_ROOT_URI` - the URI for the raw lab dataset `gs://workshop-datasets/covertype/small`.\n",
+    "* `DATA_ROOT_URI` - the URI for the raw lab dataset `gs://cloud-training/OCBL203/workshop-datasets`.\n",
     "\n",
     "* `CUSTOM_TFX_IMAGE` - the image name of your pipeline container build by skaffold and published by `Cloud Build` to `Cloud Container Registry` in the format `'gcr.io/{}/{}'.format(PROJECT_ID, PIPELINE_NAME)`.\n",
     "\n",