Fix: Hardcode gcpc version in model eval automl regression notebook (#1267)

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Hardcoded gcpc version because it fails in newer versions. And this is a request from model eval swe team to hardcode the version.

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1. If you are opening a PR for `Official Notebooks` under the [notebooks/official](https://togithub.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/notebooks/official) folder, follow this mandatory checklist:
- [x] Use the [notebook template](https://togithub.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/notebook_template.ipynb) as a starting point.
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notebooks/official/model_evaluation/automl_tabular_regression_model_evaluation.ipynb

@@ -215,7 +215,7 @@
         "    USER_FLAG = \"--user\"\n",
         "\n",
         "! pip3 install --upgrade --quiet {USER_FLAG} google-cloud-aiplatform \\\n",
-        "                                         google-cloud-pipeline-components \\\n",
+        "                                         google-cloud-pipeline-components==1.0.26 \\\n",
         "                                         kfp \\\n",
         "                                         matplotlib "
       ]
@@ -973,7 +973,7 @@
         "- `ModelEvaluationFeatureAttributionOp`: Compute feature attribution on a trained model’s batch explanation results. Creates a Dataflow job with Apache Beam and TFMA to compute feature attributions.\n",
         "- `ModelImportEvaluationOp`: Imports a model evaluation artifact to an existing Vertex AI Model with ModelService.ImportModelEvaluation.\n",
         "\n",
-        "Learn more about [Google Cloud Pipeline Evaluation Components](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-1.0.25/google_cloud_pipeline_components.experimental.evaluation.html)"
+        "Learn more about [Google Cloud Pipeline Evaluation Components](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-1.0.26/google_cloud_pipeline_components.experimental.evaluation.html)"
       ]
     },
     {