Comments (2)
Here is a screenshot. Note the inconsistency in the column on the right. The schedule row displaying the link was created with the UI, and the row without was created with the SDK.
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Thanks for bringing this issue up, I've submitted a fix and it should be included in next month's release.
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Related Issues (20)
- tests.system.aiplatform.test_model_upload.TestModelUploadAndUpdate: test_upload_and_deploy_xgboost_model failed HOT 1
- tests.system.aiplatform.test_experiments.TestExperiments: test_get_time_series_data_frame_batch_read_success failed HOT 1
- tests.system.vertex_ray.test_cluster_management.TestClusterManagement: test_cluster_management[2.9] failed HOT 2
- tests.system.vertexai.test_reasoning_engines.TestReasoningEngines: test_langchain_template failed HOT 4
- Gemini Batch Prediction API throws "INTERNAL" error HOT 3
- Getting AttributeError when importing cloud_profiler from google cloud aiplatform HOT 2
- tests.system.vertex_ray.test_ray_data.TestRayData: test_ray_data[2.9] failed HOT 2
- 401 Deadline exception using Imagen Python API
- tests.system.aiplatform.test_language_models.TestLanguageModels: test_text_generation[grpc] failed HOT 1
- tests.system.aiplatform.test_language_models.TestLanguageModels: test_chat_model_async[grpc] failed HOT 1
- tests.unit.aiplatform.test_metadata.TestExperiments: test_get_experiment_df failed HOT 4
- tests.system.vertex_ray.test_job_submission_dashboard.TestJobSubmissionDashboard: test_job_submission_dashboard[2.9] failed HOT 6
- vertex-aiplatform 1.54 throwing runtime exception: Gapic client context issue . This can occur due to parallelization HOT 2
- tests.system.vertexai.test_batch_prediction.TestBatchPrediction: test_batch_prediction_with_gcs_input failed HOT 1
- Allow overwrite_table to be set in vertex_ray.data.write_bigquery()
- Batch prediction for Gemini: Failed to import data
- Palm2 TextGeneration parameter logit_bias not working
- Gemini Batch Prediction Request Job failed: code: 3
- tests.unit.aiplatform.test_model_evaluation.TestModelEvaluationJob: test_model_evaluation_job_submit[{"pipelineInfo": {"name": "evaluation-default-pipeline"}, "root": {"dag": {"tasks": {}}, "inputDefinitions": {"parameters": {"batch_predict_gcs_source_uris": {"type": "STRING"}, "dataflow_service_account": {"type": "STRING"}, "batch_predict_instances_format": {"type": "STRING"}, "batch_predict_machine_type": {"type": "STRING"}, "evaluation_class_labels": {"type": "STRING"}, "location": {"type": "STRING"}, "model_name": {"type": "STRING"}, "project": {"type": "STRING"}, "batch_predict_gcs_destination_output_uri": {"type": "STRING"}, "target_field_name": {"type": "STRING"}}}}, "schemaVersion": "2.0.0", "sdkVersion": "kfp-1.8.12", "components": {}}] failed
- tests.unit.aiplatform.test_model_evaluation.TestModelEvaluationJob: test_model_evaluation_job_submit_with_experiment[{"pipelineInfo": {"name": "evaluation-default-pipeline"}, "root": {"dag": {"tasks": {}}, "inputDefinitions": {"parameters": {"batch_predict_gcs_source_uris": {"type": "STRING"}, "dataflow_service_account": {"type": "STRING"}, "batch_predict_instances_format": {"type": "STRING"}, "batch_predict_machine_type": {"type": "STRING"}, "evaluation_class_labels": {"type": "STRING"}, "location": {"type": "STRING"}, "model_name": {"type": "STRING"}, "project": {"type": "STRING"}, "batch_predict_gcs_destination_output_uri": {"type": "STRING"}, "target_field_name": {"type": "STRING"}}}}, "schemaVersion": "2.0.0", "sdkVersion": "kfp-1.8.12", "components": {}}] failed
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