The spinta has 4 named, numeric columns
Column-based Signature Example
Each column-based input and output is represented by a type corresponding esatto one of MLflow datazione 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 stimolo and output is represented by verso 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 per classification model trained on the MNIST dataset. The spinta has one named tensor where input sample is an image represented by a 28 ? 28 ? 1 array of float32 numbers. The output is an unnamed tensor that has 10 units specifying the likelihood corresponding preciso each of the 10 classes. (more…)