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@@ -63,7 +63,7 @@
"\n",
"This notebook demonstrates how to use the Vertex AI classification model evaluation component to evaluate an AutoML text classification model. Model evaluation helps you determine your model performance based on the evaluation metrics and improve the model if necessary. \n",
"\n",
"Learn more about [Vertex AI Model Evaluation](https://cloud.google.com/vertex-ai/docs/evaluation/introduction) and [AutoML Text](https://cloud.google.com/vertex-ai/docs/text-data/classification/prepare-data)."
"Learn more about [Vertex AI Model Evaluation](https://cloud.google.com/vertex-ai/docs/evaluation/introduction) and [Classification for text data](https://cloud.google.com/vertex-ai/docs/training-overview#classification_for_text)."
]
},
{
@@ -91,7 +91,7 @@
"- Train a Automl Text Classification model on the `Dataset` resource.\n",
"- Import the trained `AutoML model resource` into the pipeline.\n",
"- Run a `Batch Prediction` job.\n",
"- Evaulate the AutoML model using the `Classification Evaluation Component`.\n",
"- Evaluate the AutoML model using the `Classification Evaluation Component`.\n",
"- Import the classification metrics to the AutoML model resource.\n",
"\n",
"The components are [documented here](https://google-cloud-pipeline-components.readthedocs.io/en/latest/google_cloud_pipeline_components.aiplatform.html#module-google_cloud_pipeline_components.aiplatform)."
@@ -195,7 +195,7 @@
"\n",
"! pip3 install --upgrade google-cloud-aiplatform \\\n",
" google-cloud-storage \\\n",
" kfp google-cloud-pipeline-components==1.0.25 \\\n",
" kfp google-cloud-pipeline-components==1.0.40 \\\n",
" ndjson {USER_FLAG} -q"
]
},