experiment

This is summary documentation for hippynn.experiment module. Click here for full documentation.

API Summary for sub-modules:

• assembly
• controllers
• device
• evaluator
• lightning_trainer
• metric_tracker
• routines
• serialization
• step_functions

Links to Full Documentation:

Functions for training.

Modules

assembly	Assembling graphs for a training run
controllers	Managing optimizer, scheduler, and end of training
device	This file is used to host the function set_devices, as it is needed by both serialization and routines.
evaluator	Evaluating network performance over a dataset
lightning_trainer	Pytorch Lightning training interface.
metric_tracker	Keep track of training metrics over the experiment
routines	Routines for setting up and performing training
serialization	Checkpoint and state generation.
step_functions	This file implements various stepping protocols used by different optimizer APIs.