Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | V _ __attrs_post_init__() (deepaugment.policy.PolicySpace method) (deepaugment.PolicySpace method) (deepaugment.search.BayesianSearch method) (deepaugment.search.SearchStrategy method) __init__() (deepaugment.config.Defaults method) (deepaugment.DeepAugment method) (deepaugment.models.SimpleCNN method) (deepaugment.policy.PolicyHistory method), [1] (deepaugment.policy.PolicySpace method) (deepaugment.PolicySpace method) (deepaugment.search.BayesianSearch method) (deepaugment.search.RandomSearch method) (deepaugment.search.SearchStrategy method) (deepaugment.SimpleCNN method) A add() (deepaugment.policy.PolicyHistory method), [1] apply_policy() (in module deepaugment.transforms) ask() (deepaugment.search.BayesianSearch method) (deepaugment.search.RandomSearch method) (deepaugment.search.SearchStrategy method) auto_device() (in module deepaugment.config) B batch_size (deepaugment.config.Defaults attribute) BayesianSearch (class in deepaugment.search) best() (deepaugment.policy.PolicyHistory method), [1] (deepaugment.search.SearchStrategy method) best_policy() (deepaugment.DeepAugment method) best_score() (deepaugment.DeepAugment method) C checkpoint_every (deepaugment.config.Defaults attribute) clamp() (in module deepaugment.utils) create_augmenter() (in module deepaugment.transforms) create_loaders() (in module deepaugment.trainer) create_model() (in module deepaugment) (in module deepaugment.models) create_search() (in module deepaugment.search) D DeepAugment (class in deepaugment) deepaugment.config module deepaugment.models module deepaugment.policy module deepaugment.search module deepaugment.trainer module deepaugment.transforms module deepaugment.utils module Defaults (class in deepaugment.config) device (deepaugment.config.Defaults attribute) dimensions() (deepaugment.policy.PolicySpace method) (deepaugment.PolicySpace method) display_policy() (in module deepaugment.policy) dropout_rate (deepaugment.config.Defaults attribute) E early_stopping (deepaugment.config.Defaults attribute) epochs (deepaugment.config.Defaults attribute) evaluate_policy() (in module deepaugment.trainer) F format_policy() (deepaugment.policy.PolicySpace method) (deepaugment.PolicySpace method) (in module deepaugment.utils) format_policy_summary() (in module deepaugment.utils) forward() (deepaugment.models.SimpleCNN method) (deepaugment.SimpleCNN method) from_dict() (deepaugment.policy.PolicyHistory class method), [1] G generate_experiment_name() (in module deepaugment.utils) get_transform_names() (in module deepaugment.transforms) H history (deepaugment.search.SearchStrategy attribute) I image_size (deepaugment.config.Defaults attribute) iterations (deepaugment.config.Defaults attribute) L learning_rate (deepaugment.config.Defaults attribute) load_checkpoint() (in module deepaugment.utils) load_history() (deepaugment.search.BayesianSearch method) M make_transform() (in module deepaugment.transforms) method (deepaugment.config.Defaults attribute) model_name (deepaugment.config.Defaults attribute) module deepaugment.config deepaugment.models deepaugment.policy deepaugment.search deepaugment.trainer deepaugment.transforms deepaugment.utils N n_dimensions (deepaugment.policy.PolicySpace attribute) (deepaugment.PolicySpace attribute) n_initial (deepaugment.search.BayesianSearch attribute) n_initial_points (deepaugment.config.Defaults attribute) n_operations (deepaugment.config.Defaults attribute) (deepaugment.policy.PolicySpace attribute) (deepaugment.PolicySpace attribute) n_transforms (deepaugment.policy.PolicySpace attribute) (deepaugment.PolicySpace attribute) normalize() (in module deepaugment.utils) numpy_to_pil() (in module deepaugment.utils) O optimize() (deepaugment.DeepAugment method) (in module deepaugment) P patience (deepaugment.config.Defaults attribute) pil_to_numpy() (in module deepaugment.utils) policies (deepaugment.policy.PolicyHistory attribute), [1] policy_space (deepaugment.search.SearchStrategy attribute) policy_summary() (in module deepaugment.policy) PolicyHistory (class in deepaugment.policy), [1] PolicySpace (class in deepaugment) (class in deepaugment.policy) prepare_data() (in module deepaugment.trainer) R random_policy() (deepaugment.policy.PolicySpace method) (deepaugment.PolicySpace method) random_state (deepaugment.config.Defaults attribute) (deepaugment.policy.PolicySpace attribute) (deepaugment.PolicySpace attribute) (deepaugment.search.BayesianSearch attribute) RandomSearch (class in deepaugment.search) resolve_device() (in module deepaugment.config) S sample_indices() (in module deepaugment.utils) samples (deepaugment.config.Defaults attribute) save_checkpoint() (in module deepaugment.utils) save_history (deepaugment.config.Defaults attribute) scores (deepaugment.policy.PolicyHistory attribute), [1] SearchStrategy (class in deepaugment.search) show_best() (deepaugment.DeepAugment method) SimpleCNN (class in deepaugment) (class in deepaugment.models) split_data() (in module deepaugment.utils) T tell() (deepaugment.search.BayesianSearch method) (deepaugment.search.SearchStrategy method) to_dict() (deepaugment.policy.PolicyHistory method), [1] to_native() (in module deepaugment.utils) top_k() (deepaugment.policy.PolicyHistory method), [1] train_epoch() (in module deepaugment.trainer) train_model() (in module deepaugment.trainer) train_size (deepaugment.config.Defaults attribute) transform_categories (deepaugment.policy.PolicySpace attribute) (deepaugment.PolicySpace attribute) transform_names (deepaugment.policy.PolicySpace attribute) (deepaugment.PolicySpace attribute) TRANSFORMS (in module deepaugment) V val_size (deepaugment.config.Defaults attribute) validate_epoch() (in module deepaugment.trainer) validate_images() (in module deepaugment.utils) validate_labels() (in module deepaugment.utils)