`dacapo.experiments.run`

Module Contents

Classes

class dacapo.experiments.run.Run(run_config)

name: str

train_until: int

validation_interval: int

task: dacapo.experiments.tasks.task.Task

architecture: dacapo.experiments.architectures.Architecture

trainer: dacapo.experiments.trainers.Trainer

datasplit: dacapo.experiments.datasplits.DataSplit

model: dacapo.experiments.model.Model

optimizer: torch.optim.Optimizer

training_stats: dacapo.experiments.training_stats.TrainingStats

validation_scores: dacapo.experiments.validation_scores.ValidationScores

static get_validation_scores(run_config) → dacapo.experiments.validation_scores.ValidationScores: Static method to avoid having to initialize model, optimizer, trainer, etc.

move_optimizer(device: torch.device, empty_cuda_cache: bool = False) → None