sacred metrics
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@ -58,6 +58,7 @@ def prepare(epochs, batch_size, _run):
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predictions = model.predict(X_test)
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error = mean_squared_error(y_test, predictions)
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_run.info["mean_squared_error"] = str(error)
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_run.log_scalar("mean_squared_error", int(error))
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return error
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