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MlModel

Namespace: MLLIB  ·  Library: Machine Learning Library

#include <ml/ml_model.h>

class MLLIB::MlModel

Backend-agnostic inference interface: load, predict, save plus model/task descriptors.

Inheritance​

Public Methods​

~MlModel()​

Virtual destructor.

predict(input)​

Run inference on the given input tensor.

Parameters:

  • input : const MlTensor & The input data.

Returns:

save(path)​

Serialise the model to disk.

Parameters:

  • path : const QString & File path.

Returns:

  • bool — True if successful.

load(path)​

Load a model from disk.

Parameters:

  • path : const QString & File path.

Returns:

  • bool — True if successful.

modelType()​

Returns:

  • QString — Human-readable model type name.

taskType()​

Returns:

  • MlTaskType — The task type this model is configured for.

Authors of this file​