Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W A accelerator (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) affine_apply (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) affine_rotate (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) affine_scale (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) affine_shear (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) affine_translate_percent (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) ATTENTION_GATE (SkiNet.Utils.experiment_keys.MergeResidualMode attribute) azure_blob_mount_point (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) azure_data (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) B BaseDataset (class in SkiNet.ML.datasets.segmentation_dataset) batch_size (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) BATCH_SIZE (SkiNet.Utils.experiment_keys.HyperparamKey attribute) BCE (SkiNet.Utils.experiment_keys.LossFunctionKey attribute) BCE_DICE (SkiNet.Utils.experiment_keys.LossFunctionKey attribute) C cache_in_ram (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) callbacks (SkiNet.Utils.logging.logging_callbacks_setup.TrainerComponents attribute) cfg_path (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) check_finite (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) check_val_every_n_epoch (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) checkpoint_config (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) CLASSICAL (SkiNet.Utils.experiment_keys.EncoderResidualMode attribute) (SkiNet.Utils.experiment_keys.MergeResidualMode attribute) color_jitter_apply (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) color_jitter_brightness (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) color_jitter_contrast (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) color_jitter_hue (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) color_jitter_p (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) color_jitter_saturation (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) ConfigFactory (class in SkiNet.ML.configs.config_factory) configure_optimizers() (SkiNet.ML.model.lightning_model.LightningModel method) cosine_annealing_config (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) create_datasets() (SkiNet.ML.datasets.dataset_factory.DatasetFactory method) (SkiNet.ML.datasets.dataset_factory.SegmentationDatasetFactory method) create_segmentation_datasets_from_config() (in module SkiNet.ML.datasets.dataset_factory) crop (SkiNet.ML.configs.transform_configs.transform_config.TransformConfig attribute) crop_apply (SkiNet.ML.configs.transform_configs.crop_config.CropConfig attribute) crop_type (SkiNet.ML.configs.transform_configs.crop_config.CropConfig attribute) D data_root (SkiNet.ML.datasets.segmentation_dataset.SegmentationDataset attribute) dataconfig (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) dataframe (SkiNet.ML.datasets.segmentation_dataset.SegmentationDataset attribute) DatasetFactory (class in SkiNet.ML.datasets.dataset_factory) DatasetKey (class in SkiNet.Utils.experiment_keys) debug_forward (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) default_monitor() (SkiNet.Utils.experiment_keys.MetricsKey class method) description (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) deterministic (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) devices (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) DICE (SkiNet.Utils.experiment_keys.LossFunctionKey attribute) dilation (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) direction (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) divergence_threshold (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) E early_stopping_config (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) elastic_alpha (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) elastic_apply (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) elastic_p (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) elastic_sigma (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) encoder_residual_mode (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) EncoderResidualMode (class in SkiNet.Utils.experiment_keys) eta_min (SkiNet.ML.configs.train_configs.train_config.CosineAnnealingConfig attribute) experiment_name (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) experiment_type (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) F factor (SkiNet.ML.configs.train_configs.train_config.ReduceOnPlateauConfig attribute) fallback_to_local_mlflow (SkiNet.ML.configs.train_configs.train_config.MLflowConfig attribute) filename (SkiNet.ML.configs.train_configs.train_config.CheckpointConfig attribute) find_best_threshold() (in module SkiNet.ML.training.training_utils) forward() (SkiNet.ML.model.lightning_model.LightningModel method) G gaussian_blur_apply (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) gaussian_blur_p (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) gaussian_blur_sigma_limit (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) gaussian_noise_apply (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) gaussian_noise_p (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) gaussian_noise_std_range (SkiNet.ML.configs.transform_configs.augment_config.PhotoAugmentConfig attribute) get_config_creator() (SkiNet.ML.configs.config_factory.ConfigFactory method) get_config_factory() (in module SkiNet.ML.configs.config_factory) get_raw_sample() (SkiNet.ML.datasets.segmentation_dataset.SegmentationDataset method) get_sample_item() (SkiNet.ML.datasets.segmentation_dataset.SegmentationDataset method) H HE1 (SkiNet.Utils.experiment_keys.MergeResidualMode attribute) HE2 (SkiNet.Utils.experiment_keys.EncoderResidualMode attribute) (SkiNet.Utils.experiment_keys.MergeResidualMode attribute) HyperparamKey (class in SkiNet.Utils.experiment_keys) I in_channels (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) ISIC2017 (SkiNet.Utils.experiment_keys.DatasetKey attribute) K kernel (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) kind (SkiNet.ML.configs.data_configs.isic2017dataset_config.isic2017dataset_config.ISIC2017DatasetConfig attribute) (SkiNet.ML.configs.data_configs.ph2dataset_config.ph2dataset_config.PH2DatasetConfig attribute) (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) L LightningModel (class in SkiNet.ML.model.lightning_model) litlogger_config (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) load_config_from_yaml() (in module SkiNet.ML.configs.load_config_from_yaml) local_data_root (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) LOCAL_REFINEMENT (SkiNet.Utils.experiment_keys.EncoderResidualMode attribute) (SkiNet.Utils.experiment_keys.MergeResidualMode attribute) log_dir (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) log_every_n_steps (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) log_model (SkiNet.ML.configs.train_configs.train_config.MLflowConfig attribute) log_model_summary (SkiNet.ML.configs.train_configs.train_config.MLflowConfig attribute) loggers (SkiNet.Utils.logging.logging_callbacks_setup.TrainerComponents attribute) loss_name (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) LossFunctionKey (class in SkiNet.Utils.experiment_keys) lr (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) LR (SkiNet.Utils.experiment_keys.HyperparamKey attribute) lr_scheduler_config (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) M max_epochs (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) merge_residual_mode (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) MergeResidualMode (class in SkiNet.Utils.experiment_keys) MetricsKey (class in SkiNet.Utils.experiment_keys) min_delta (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) mlflow_config (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) mlflow_logger (SkiNet.Utils.logging.logging_callbacks_setup.TrainerComponents attribute) MLflowTrainingArtifactsCallback (class in SkiNet.Utils.mlops.mlflow_callbacks) mode (SkiNet.ML.configs.train_configs.train_config.CheckpointConfig attribute) (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) (SkiNet.ML.configs.train_configs.train_config.ReduceOnPlateauConfig attribute) model_name (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) modelconfig (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) monitor (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.CheckpointConfig attribute) (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) (SkiNet.ML.configs.train_configs.train_config.ReduceOnPlateauConfig attribute) N normalization_mean (SkiNet.ML.configs.transform_configs.transform_config.TransformConfig attribute) normalization_mode (SkiNet.ML.configs.transform_configs.transform_config.TransformConfig attribute) normalization_std (SkiNet.ML.configs.transform_configs.transform_config.TransformConfig attribute) num_output_classes (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) num_sanity_val_steps (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) num_workers (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) NUM_WORKERS (SkiNet.Utils.experiment_keys.HyperparamKey attribute) number_of_layers (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) O on_before_optimizer_step() (SkiNet.ML.model.lightning_model.LightningModel method) on_exception() (SkiNet.Utils.logging.system_metrics.SystemMetricsThreadCallback method) on_fit_end() (SkiNet.Utils.logging.system_metrics.SystemMetricsThreadCallback method) (SkiNet.Utils.mlops.mlflow_callbacks.MLflowTrainingArtifactsCallback method) on_fit_start() (SkiNet.Utils.logging.system_metrics.SystemMetricsThreadCallback method) (SkiNet.Utils.mlops.mlflow_callbacks.MLflowTrainingArtifactsCallback method) on_train_batch_end() (SkiNet.Utils.logging.system_metrics.SystemMetricsThreadCallback method) (SkiNet.Utils.logging.throughput.ThroughputCallback method) on_train_batch_start() (SkiNet.Utils.logging.throughput.ThroughputCallback method) on_validation_epoch_end() (SkiNet.ML.model.lightning_model.LightningModel method) (SkiNet.Utils.logging.system_metrics.SystemMetricsThreadCallback method) optimal_threshold (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) optimizer_name (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) out_channels_layer1 (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) P patience (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) (SkiNet.ML.configs.train_configs.train_config.ReduceOnPlateauConfig attribute) perspective_apply (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) perspective_p (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) perspective_scale (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) PH2 (SkiNet.Utils.experiment_keys.DatasetKey attribute) photometric_augmentation (SkiNet.ML.configs.transform_configs.transform_config.TransformConfig attribute) pin_memory (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) precision (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) predefined_split_column (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) (SkiNet.ML.configs.data_configs.isic2017dataset_config.isic2017dataset_config.ISIC2017DatasetConfig attribute) prefetch_factor (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) PREFETCH_FACTOR (SkiNet.Utils.experiment_keys.HyperparamKey attribute) R require_tracking_uri_if_enabled() (SkiNet.ML.configs.train_configs.train_config.TrainConfig method) run_name (SkiNet.Utils.logging.logging_callbacks_setup.TrainerComponents attribute) run_test_after_fit (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) S sample_ids (SkiNet.ML.datasets.segmentation_dataset.SegmentationDataset attribute) sample_specs (SkiNet.ML.datasets.segmentation_dataset.SegmentationDataset attribute) save_last (SkiNet.ML.configs.train_configs.train_config.CheckpointConfig attribute) save_top_k (SkiNet.ML.configs.train_configs.train_config.CheckpointConfig attribute) scale (SkiNet.ML.configs.transform_configs.crop_config.CropConfig attribute) scale_lr() (in module SkiNet.Utils.mlops.optuna_utils) scheduler_type (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) SCHEDULER_TYPE (SkiNet.Utils.experiment_keys.HyperparamKey attribute) SE (SkiNet.Utils.experiment_keys.EncoderResidualMode attribute) se_reduction (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) seed (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) SegmentationDataset (class in SkiNet.ML.datasets.segmentation_dataset) SegmentationDatasetFactory (class in SkiNet.ML.datasets.dataset_factory) set_num_workers_auto() (SkiNet.ML.configs.train_configs.train_config.TrainConfig method) set_pin_memory_from_accelerator() (SkiNet.ML.configs.train_configs.train_config.TrainConfig method) set_precision_from_accelerator() (SkiNet.ML.configs.train_configs.train_config.TrainConfig method) setup_logging_and_callbacks() (in module SkiNet.Utils.logging.logging_callbacks_setup) size (SkiNet.ML.configs.transform_configs.crop_config.CropConfig attribute) spatial_augmentation (SkiNet.ML.configs.transform_configs.transform_config.TransformConfig attribute) split_random_seed (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) split_stratify_column (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) (SkiNet.ML.configs.data_configs.isic2017dataset_config.isic2017dataset_config.ISIC2017DatasetConfig attribute) (SkiNet.ML.configs.data_configs.ph2dataset_config.ph2dataset_config.PH2DatasetConfig attribute) split_test_size (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) split_train_size (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) split_val_size (SkiNet.ML.configs.data_configs.base_data_config.BaseDataConfig attribute) square_symmetry_apply (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) square_symmetry_p (SkiNet.ML.configs.transform_configs.augment_config.SpatialAugmentConfig attribute) stopping_threshold (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) strategy (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) strict (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig attribute) stride (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) sweepconfig (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) system_metrics_interval_sec (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) SystemMetricsThreadCallback (class in SkiNet.Utils.logging.system_metrics) T T_max (SkiNet.ML.configs.train_configs.train_config.CosineAnnealingConfig attribute) test_on_val_split (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) test_step() (SkiNet.ML.model.lightning_model.LightningModel method) ThroughputCallback (class in SkiNet.Utils.logging.throughput) torch_compile_backend (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) tracking_uri (SkiNet.ML.configs.train_configs.train_config.MLflowConfig attribute) trainconfig (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) TrainerComponents (class in SkiNet.Utils.logging.logging_callbacks_setup) training_step() (SkiNet.ML.model.lightning_model.LightningModel method) transformconfig (SkiNet.ML.configs.experiment_config.ExperimentConfig attribute) U use_checkpoint (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) use_early_stopping (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) use_litlogger_logger (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) use_lr_scheduler (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) use_mlflow_logger (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) use_torch_compile (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) V VAL_BEST_DICE_AT_THRESHOLD (SkiNet.Utils.experiment_keys.MetricsKey attribute) VAL_MEAN_DICE_PER_IMAGE (SkiNet.Utils.experiment_keys.MetricsKey attribute) validate_forward (SkiNet.ML.configs.model_configs.unet2d_config.UNet2DModelConfig attribute) validate_prefetch_factor() (SkiNet.ML.configs.train_configs.train_config.TrainConfig method) validate_search_space() (in module SkiNet.Utils.mlops.optuna_utils) validation_step() (SkiNet.ML.model.lightning_model.LightningModel method) W warn_if_testing_on_val() (SkiNet.ML.configs.train_configs.train_config.TrainConfig method) warn_monitor_is_default() (SkiNet.ML.configs.train_configs.train_config.EarlyStoppingConfig method) weight_decay (SkiNet.ML.configs.train_configs.sweep_config.SweepConfig attribute) (SkiNet.ML.configs.train_configs.train_config.TrainConfig attribute) WEIGHT_DECAY (SkiNet.Utils.experiment_keys.HyperparamKey attribute)