forked from tzietkiewicz/ium-helloworld
Change experiment name
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4
train.py
4
train.py
@ -21,7 +21,7 @@ logging.basicConfig(level=logging.WARN)
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logger = logging.getLogger(__name__)
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mlflow.set_tracking_uri("http://172.17.0.1:5000")
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mlflow.set_experiment("s123456")
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mlflow.set_experiment("s123456-new")
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def eval_metrics(actual, pred):
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rmse = np.sqrt(mean_squared_error(actual, pred))
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@ -94,6 +94,6 @@ if __name__ == "__main__":
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# There are other ways to use the Model Registry, which depends on the use case,
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# please refer to the doc for more information:
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# https://mlflow.org/docs/latest/model-registry.html#api-workflow
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mlflow.sklearn.log_model(lr, "wines-model", registered_model_name="ElasticnetWineModel", signature=signature)
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mlflow.sklearn.log_model(lr, "wines-model", registered_model_name="ElasticnetWineModel_s123456", signature=signature)
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else:
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mlflow.sklearn.log_model(lr, "model", signature=signature)
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