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| metrics = {} | |
| metrics["f1"] = 0.81 | |
| aiplatform.log_metrics(metrics) |
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| from sklearn.metrics import confusion_matrix | |
| labels = ["ant", "bird", "cat"] | |
| y_true = ["cat", "ant", "cat", "cat", "ant", "bird"] | |
| y_pred = ["ant", "ant", "cat", "cat", "ant", "cat"] | |
| classification_metrics = { | |
| "matrix": confusion_matrix(y_true, y_pred, labels=labels).tolist(), | |
| "labels": labels | |
| } |
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| metaparams = {} | |
| metaparams["batch_size"] = 256 | |
| aiplatform.log_params(metaparams) |
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| aiplatform.start_run('run-1') | |
| # log metrics | |
| # log parameters | |
| # log artifacts | |
| aiplatform.end_run() |
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| pip install google-cloud-aiplatform | |
| import google.cloud.aiplatform as aiplatform |
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| aiplatform.init( | |
| project='sascha-playground-doit', | |
| location='us-central1', | |
| experiment='experiment-sample' | |
| ) |
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| DISPLAY_NAME = "recommendation" | |
| models = aiplatform.Model.list(filter=("display_name={}").format(DISPLAY_NAME)) | |
| if len(models) == 0: | |
| model_upload = aiplatform.Model.upload( | |
| display_name = DISPLAY_NAME | |
| ) | |
| else: | |
| parent_model = models[0].resource_name |
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| aiplatform.Model.upload( | |
| version_aliases=["experimental"] | |
| ) |
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| aiplatform.Model.upload( | |
| is_default_version=False, | |
| ) |
SaschaHeyer
/ description.py
Created
September 21, 2022 18:50
Vertex AI Model Versioining - Description
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| aiplatform.Model.upload( | |
| version_description="This is a test version description" | |
| ) |