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| schema = splice.getConnection().getSchema() | |
| run_id = mlflow.current_run_id() | |
| splice.dropTableIfExists(schema, 'iris_model') | |
| jid = mlflow.deploy_db(schema, 'iris_model', run_id, create_model_table=True, df=df.select(cols[:-1]), primary_key={'MOMENT_ID':'INT'}, classes=list(data.target_names)) | |
| mlflow.watch_job(jid) |
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