Definition of the base Training Backend


TrainingBaseBackend(**kwargs) : Base class for all base Training ZenML backends.

Every ZenML pipeline runs in backends.

A training backend can be used to efficiently train a machine learning
model on large amounts of data. Since most common machine learning models
leverage mainly linear algebra operations under the hood, they can
potentially benefit a lot from dedicated training hardware like Graphics
Processing Units (GPUs) or application-specific integrated circuits

### Ancestors (in MRO)

* zenml.core.backends.base_backend.BaseBackend

### Class variables


### Methods

:   Return a dict to be passed as a custom_config to the Trainer.

:   Return a TFX Executor spec for the Trainer Component.