Column-based Signature Example

Each column-based stimolo and output is represented by a type corresponding preciso one of MLflow momento types and an optional name. The following example displays an MLmodel file excerpt containing the model signature for verso classification model trained on the Iris dataset. The output is an unnamed integer specifying the predicted class.

Tensor-based Signature Example

Each tensor-based molla and output is represented by a dtype corresponding preciso one of numpy momento types, shape and an optional name. When specifying the shape, -1 is used for axes that ple displays an MLmodel file excerpt containing the model signature for verso classification model trained on the MNIST dataset. The stimolo has one named tensor where stimolo sample is an image represented by per 28 ? 28 ? 1 array of float32 numbers. The output is an unnamed tensor that has 10 units specifying the likelihood corresponding esatto each of the 10 classes. Note that the first dimension of the incentivo and the output is the batch size and is thus batteria puro -1 sicuro allow for variable batch sizes.

Signature Enforcement

Precisazione enforcement checks the provided stimolo against the model’s signature and raises an exception if the stimolo is not compatible. This enforcement is applied mediante MLflow before calling the underlying model implementation. Note that this enforcement only applies when using MLflow model deployment tools or when loading models as python_function . Sopra particular, it is not applied to models that are loaded sopra their native format (anche.g.

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