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| import vertexai | |
| from vertexai.language_models import TextGenerationModel | |
| from google.cloud import translate_v2 as translate | |
| vertexai.init(project="sascha-playground-doit", location="us-central1") | |
| parameters = { | |
| "candidate_count": 1, | |
| "max_output_tokens": 1024, | |
| "temperature": 0.9, | |
| "top_p": 1 |
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| response = index_endpoint.match( | |
| deployed_index_id="similar_text_deployed", | |
| queries=[embedding[0]], | |
| num_neighbors=5 | |
| ) |
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| { | |
| "predictions": [ | |
| { | |
| "confidence": 0.9409326314926147, | |
| "sentiment": "POSITIVE" | |
| } | |
| ] | |
| } |
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| training_data_artifact = aiplatform.Artifact.create( | |
| schema_title='system.Dataset', | |
| uri='gs://doit-vertex-demo/higgs/training.csv', | |
| display_name='data') | |
| with aiplatform.start_execution( | |
| schema_title="system.ContainerExecution", | |
| display_name='training' | |
| ) as execution: |
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| experiment_run = aiplatform.ExperimentRun( | |
| run_name='run-1668456760', | |
| experiment='experiment-demo', | |
| ) | |
| print(experiment_run.get_artifacts()) | |
| print(experiment_run.get_metrics()) | |
| print(experiment_run.get_params()) | |
| print(experiment_run.get_time_series_data_frame()) | |
| print(experiment_run.get_classification_metrics()) |
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| experiment_df = aiplatform.get_experiment_df() | |
| experiment_df = experiment_df[experiment_df.experiment_name == 'experiment-demo'] | |
| experiment_df |
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| aiplatform.init( | |
| project='sascha-playground-doit', | |
| location='us-central1', | |
| experiment='experiment-sample', | |
| experiment_tensorboard='projects/sascha-playground-doit/locations/us-central1/tensorboards/6382621018774568960' | |
| ) |
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| experiment_tensorboard = vertex_ai.Tensorboard.create() | |
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| training_data_artifact = aiplatform.Artifact.create( | |
| schema_title='system.Dataset', | |
| uri='gs://doit-vertex-demo/higgs/training.csv', | |
| display_name='training data') |
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| aiplatform.log_time_series_metrics({"mse": 2500.00, "rmse": 50.00}) | |
| aiplatform.log_time_series_metrics({"mse": 2600.00, "rmse": 60.00}) | |
| aiplatform.log_time_series_metrics({"mse": 2700.00, "rmse": 70.00}) |