Index

_

__call__() (ncalab.AutoStepper method) (ncalab.autostepper.AutoStepper method) (ncalab.ParameterSearch method) (ncalab.search.ParameterSearch method) (ncalab.search.search.ParameterSearch method) (ncalab.uncertainty.uncertainty_estimator.UncertaintyEstimator method) (ncalab.uncertainty.UncertaintyEstimator method) (ncalab.UncertaintyEstimator method) __CURRENT_PATH (in module ncalab) (in module ncalab.paths) __getitem__() (ncalab.data.GrowingNCADataset method) (ncalab.data.growingncadataset.GrowingNCADataset method) (ncalab.GrowingNCADataset method) (ncalab.SplitDefinition method) (ncalab.training.kfold.SplitDefinition method) (ncalab.training.SplitDefinition method) __iter__() (ncalab.ParameterSet method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSet method) __len__() (ncalab.data.GrowingNCADataset method) (ncalab.data.growingncadataset.GrowingNCADataset method) (ncalab.GrowingNCADataset method) (ncalab.ParameterSet method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSet method) (ncalab.SplitDefinition method) (ncalab.training.kfold.SplitDefinition method) (ncalab.training.SplitDefinition method) __next__() (ncalab.ParameterSet method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSet method) __str__() (ncalab.visualization.confusionmatrix.ConfusionMatrix method) _adam_betas (ncalab.training.trainingparameters.TrainingParameters attribute) _alive() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) _build_network() (ncalab.BasicNCARule method) (ncalab.models.basicNCA.BasicNCARule method) (ncalab.models.basicNCA.basicNCArule.BasicNCARule method) (ncalab.models.BasicNCARule method) _check() (ncalab.AutoStepper method) (ncalab.autostepper.AutoStepper method) _define_filters() (ncalab.BasicNCAPerception method) (ncalab.models.basicNCA.BasicNCAPerception method) (ncalab.models.basicNCA.basicNCAperception.BasicNCAPerception method) (ncalab.models.BasicNCAPerception method) _define_rule() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method)

_estimate() (ncalab.MCMC method) (ncalab.NQM method) (ncalab.uncertainty.MCMC method) (ncalab.uncertainty.NQM method) (ncalab.uncertainty.uncertainty_estimator.MCMC method) (ncalab.uncertainty.uncertainty_estimator.NQM method) (ncalab.uncertainty.uncertainty_estimator.UncertaintyEstimator method) (ncalab.uncertainty.UncertaintyEstimator method) (ncalab.UncertaintyEstimator method) _forward_step() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) _gradient_clipping (ncalab.training.trainingparameters.TrainingParameters attribute) _head_prediction_array (ncalab.Prediction attribute), [1], [2], [3] (ncalab.prediction.Prediction attribute) (ncalab.training.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) _initialize_network() (ncalab.BasicNCARule method) (ncalab.models.basicNCA.BasicNCARule method) (ncalab.models.basicNCA.basicNCArule.BasicNCARule method) (ncalab.models.BasicNCARule method) _lr_gamma (ncalab.training.trainingparameters.TrainingParameters attribute) _num_classes (ncalab.ClassificationNCAModel attribute) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel attribute) (ncalab.models.applications.classification.ClassificationNCAModel attribute) (ncalab.models.applications.ClassificationNCAModel attribute) (ncalab.models.ClassificationNCAModel attribute) _output_array (ncalab.Prediction attribute), [1], [2], [3] (ncalab.prediction.Prediction attribute) (ncalab.training.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) _score() (ncalab.AutoStepper method) (ncalab.autostepper.AutoStepper method) _steps_range (ncalab.training.trainingparameters.TrainingParameters attribute) _to_dict() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) _train_iteration() (ncalab.BasicNCATrainer method), [1] (ncalab.search.BasicNCATrainer method) (ncalab.training.BasicNCATrainer method), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer method) (ncalab.training.trainer.BasicNCATrainer method) _update() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method)

A

abbreviate_label() (in module ncalab) (in module ncalab.visualization) (in module ncalab.visualization.visualization) adam_betas (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute) animation_fig (ncalab.Animator attribute) (ncalab.visualization.animation.Animator attribute) (ncalab.visualization.Animator attribute) Animator (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.animation) animator_style_dark (in module ncalab) (in module ncalab.visualization) (in module ncalab.visualization.animation) animator_styles (in module ncalab) (in module ncalab.visualization) (in module ncalab.visualization.animation)

AnimatorStyle (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.animation) apply() (ncalab.AnimatorStyle method) (ncalab.visualization.animation.AnimatorStyle method) (ncalab.visualization.AnimatorStyle method) AutoStepper (class in ncalab) (class in ncalab.autostepper) avg_pool_size (ncalab.ClassificationNCAHead attribute) (ncalab.ClassificationNCAModel attribute) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel attribute) (ncalab.models.applications.classification.ClassificationNCAHead attribute) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead attribute) (ncalab.models.applications.classification.ClassificationNCAModel attribute) (ncalab.models.applications.ClassificationNCAHead attribute) (ncalab.models.applications.ClassificationNCAModel attribute) (ncalab.models.ClassificationNCAHead attribute) (ncalab.models.ClassificationNCAModel attribute)

B

BasicNCAHead (class in ncalab) (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.basicNCAhead) BasicNCAModel (class in ncalab), [1], [2] (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.basicNCA) (class in ncalab.training), [1] (class in ncalab.uncertainty) BasicNCAPerception (class in ncalab) (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.basicNCAperception) BasicNCARule (class in ncalab) (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.basicNCArule) BasicNCATrainer (class in ncalab), [1] (class in ncalab.search) (class in ncalab.training), [1] (class in ncalab.training.trainer)

batch (ncalab.Pool attribute) (ncalab.training.Pool attribute) (ncalab.training.pool.Pool attribute) batch_repeat (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute) batch_size (ncalab.data.GrowingNCADataset attribute) (ncalab.data.growingncadataset.GrowingNCADataset attribute) (ncalab.GrowingNCADataset attribute) best_accuracy (ncalab.EarlyStopping attribute) (ncalab.training.EarlyStopping attribute), [1] (ncalab.training.earlystopping.EarlyStopping attribute) (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) best_epoch (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) best_model (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute)

C

CascadeNCA (class in ncalab) (class in ncalab.models) (class in ncalab.models.wrappers) (class in ncalab.models.wrappers.cascadeNCA) ClassificationNCAHead (class in ncalab) (class in ncalab.models) (class in ncalab.models.applications) (class in ncalab.models.applications.classification) (class in ncalab.models.applications.classification.classificationNCAhead) ClassificationNCAModel (class in ncalab) (class in ncalab.models) (class in ncalab.models.applications) (class in ncalab.models.applications.classification) (class in ncalab.models.applications.classification.classificationNCA) classifier (ncalab.ClassificationNCAHead attribute) (ncalab.models.applications.classification.ClassificationNCAHead attribute) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead attribute) (ncalab.models.applications.ClassificationNCAHead attribute) (ncalab.models.ClassificationNCAHead attribute) classify() (ncalab.ClassificationNCAModel method) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel method) (ncalab.models.applications.classification.ClassificationNCAModel method) (ncalab.models.applications.ClassificationNCAModel method) (ncalab.models.ClassificationNCAModel method) color_background (ncalab.AnimatorStyle attribute) (ncalab.visualization.animation.AnimatorStyle attribute) (ncalab.visualization.AnimatorStyle attribute)

color_overlay (ncalab.AnimatorStyle attribute) (ncalab.visualization.animation.AnimatorStyle attribute) (ncalab.visualization.AnimatorStyle attribute) color_progress (ncalab.AnimatorStyle attribute) (ncalab.visualization.animation.AnimatorStyle attribute) (ncalab.visualization.AnimatorStyle attribute) color_title (ncalab.AnimatorStyle attribute) (ncalab.visualization.animation.AnimatorStyle attribute) (ncalab.visualization.AnimatorStyle attribute) combinations (ncalab.ParameterSet attribute) (ncalab.search.ParameterSet attribute) (ncalab.search.search.ParameterSet attribute) ConfusionMatrix (class in ncalab.visualization.confusionmatrix) cooldown (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) counter (ncalab.EarlyStopping attribute) (ncalab.training.EarlyStopping attribute), [1] (ncalab.training.earlystopping.EarlyStopping attribute) created_timestamp (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) current_epoch (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) current_model (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute)

D

damage (ncalab.Pool attribute) (ncalab.training.Pool attribute) (ncalab.training.pool.Pool attribute) dataloader_test (ncalab.SplitDefinition attribute) (ncalab.training.kfold.SplitDefinition attribute) (ncalab.training.SplitDefinition attribute) dataloaders() (ncalab.training.kfold.TrainValRecord method) (ncalab.training.TrainValRecord method) (ncalab.TrainValRecord method) DEFAULT_RANDOM_SEED (in module ncalab) (in module ncalab.utils) DepthNCAModel (class in ncalab) (class in ncalab.models) (class in ncalab.models.applications) (class in ncalab.models.applications.depth) (class in ncalab.models.applications.depth.depthNCA) device (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.BasicNCARule attribute) (ncalab.ClassificationNCAHead attribute) (ncalab.models.applications.classification.ClassificationNCAHead attribute) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead attribute) (ncalab.models.applications.ClassificationNCAHead attribute) (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCARule attribute) (ncalab.models.basicNCA.basicNCArule.BasicNCARule attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.models.BasicNCARule attribute) (ncalab.models.ClassificationNCAHead attribute) (ncalab.ParameterSearch attribute) (ncalab.search.ParameterSearch attribute) (ncalab.search.search.ParameterSearch attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute)

DiceBCELoss (class in ncalab) (class in ncalab.losses) DiceScore (class in ncalab) (class in ncalab.losses) dicescore (ncalab.DiceBCELoss attribute) (ncalab.losses.DiceBCELoss attribute) DistillationNCATrainer (class in ncalab.training.distillation_trainer) done() (ncalab.EarlyStopping method) (ncalab.training.EarlyStopping method), [1] (ncalab.training.earlystopping.EarlyStopping method) downscale() (in module ncalab.models.wrappers.cascadeNCA)

E

EarlyStopping (class in ncalab) (class in ncalab.training), [1] (class in ncalab.training.earlystopping) EnsembleNCA (class in ncalab.models.wrappers.ensemble) estimate() (ncalab.uncertainty.uncertainty_estimator.UncertaintyEstimator method) (ncalab.uncertainty.UncertaintyEstimator method) (ncalab.UncertaintyEstimator method)

export_header() (in module ncalab.export.header) export_onnx() (in module ncalab.export) (in module ncalab.export.onnx)

F

filter_padding (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) finetune (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) finetune() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) fire_rate (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) fix_random_seed() (in module ncalab) (in module ncalab.utils) folds (ncalab.SplitDefinition attribute) (ncalab.training.kfold.SplitDefinition attribute) (ncalab.training.SplitDefinition attribute) forward() (ncalab.BasicNCAHead method) (ncalab.BasicNCAModel method), [1], [2] (ncalab.BasicNCARule method) (ncalab.CascadeNCA method) (ncalab.ClassificationNCAHead method) (ncalab.DiceBCELoss method) (ncalab.DiceScore method) (ncalab.losses.DiceBCELoss method) (ncalab.losses.DiceScore method) (ncalab.models.applications.classification.ClassificationNCAHead method) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead method) (ncalab.models.applications.ClassificationNCAHead method) (ncalab.models.applications.depth.depthNCA.SmoothnessLoss method) (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAHead method) (ncalab.models.basicNCA.basicNCAhead.BasicNCAHead method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCARule method) (ncalab.models.basicNCA.basicNCArule.BasicNCARule method) (ncalab.models.BasicNCAHead method) (ncalab.models.BasicNCAModel method) (ncalab.models.BasicNCARule method) (ncalab.models.CascadeNCA method) (ncalab.models.ClassificationNCAHead method) (ncalab.models.wrappers.CascadeNCA method) (ncalab.models.wrappers.cascadeNCA.CascadeNCA method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method)

freeze() (ncalab.BasicNCAHead method) (ncalab.BasicNCAPerception method) (ncalab.BasicNCARule method) (ncalab.ClassificationNCAHead method) (ncalab.models.applications.classification.ClassificationNCAHead method) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead method) (ncalab.models.applications.ClassificationNCAHead method) (ncalab.models.basicNCA.BasicNCAHead method) (ncalab.models.basicNCA.basicNCAhead.BasicNCAHead method) (ncalab.models.basicNCA.BasicNCAPerception method) (ncalab.models.basicNCA.basicNCAperception.BasicNCAPerception method) (ncalab.models.basicNCA.BasicNCARule method) (ncalab.models.basicNCA.basicNCArule.BasicNCARule method) (ncalab.models.BasicNCAHead method) (ncalab.models.BasicNCAPerception method) (ncalab.models.BasicNCARule method) (ncalab.models.ClassificationNCAHead method)

G

generate_image() (ncalab.visualization.confusionmatrix.ConfusionMatrix method) get_compute_device() (in module ncalab) (in module ncalab.utils) gradient_clipping (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute) grow() (ncalab.GrowingNCAModel method) (ncalab.models.applications.growing.growingNCA.GrowingNCAModel method) (ncalab.models.applications.growing.GrowingNCAModel method) (ncalab.models.applications.GrowingNCAModel method) (ncalab.models.GrowingNCAModel method)

GrowingNCADataset (class in ncalab) (class in ncalab.data) (class in ncalab.data.growingncadataset) GrowingNCAModel (class in ncalab) (class in ncalab.models) (class in ncalab.models.applications) (class in ncalab.models.applications.growing) (class in ncalab.models.applications.growing.growingNCA)

H

head (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.CascadeNCA attribute) (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) head_prediction (ncalab.Prediction attribute), [1], [2], [3] (ncalab.prediction.Prediction attribute) (ncalab.training.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) head_prediction_array (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) hidden_channels (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property)

hidden_channels_np (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) hidden_i (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) hidden_i_1 (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) hidden_size (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.BasicNCARule attribute) (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCARule attribute) (ncalab.models.basicNCA.basicNCArule.BasicNCARule attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.models.BasicNCARule attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute)

I

image (ncalab.data.GrowingNCADataset attribute) (ncalab.data.growingncadataset.GrowingNCADataset attribute) (ncalab.GrowingNCADataset attribute) image_channels (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) image_channels_np (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) immutable_image_channels (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) index (ncalab.ParameterSet attribute) (ncalab.search.ParameterSet attribute) (ncalab.search.search.ParameterSet attribute) inference_timesteps (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute)

info() (ncalab.BasicNCATrainer method), [1] (ncalab.ParameterSearch method) (ncalab.ParameterSet method) (ncalab.search.BasicNCATrainer method) (ncalab.search.ParameterSearch method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSearch method) (ncalab.search.search.ParameterSet method) (ncalab.training.BasicNCATrainer method), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer method) (ncalab.training.trainer.BasicNCATrainer method) (ncalab.training.trainingparameters.TrainingParameters method) input_size (ncalab.BasicNCARule attribute) (ncalab.models.basicNCA.BasicNCARule attribute) (ncalab.models.basicNCA.basicNCArule.BasicNCARule attribute) (ncalab.models.BasicNCARule attribute) input_vector_size (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) intepret_range_parameter() (in module ncalab), [1] (in module ncalab.training) (in module ncalab.utils) is_mutable() (ncalab.ParameterSet method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSet method)

K

kernel_size (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute)

KFoldCrossValidationTrainer (class in ncalab) (class in ncalab.training) (class in ncalab.training.kfold)

L

loss (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) loss() (ncalab.BasicNCAModel method), [1], [2] (ncalab.ClassificationNCAModel method) (ncalab.DepthNCAModel method) (ncalab.GrowingNCAModel method) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel method) (ncalab.models.applications.classification.ClassificationNCAModel method) (ncalab.models.applications.ClassificationNCAModel method) (ncalab.models.applications.depth.depthNCA.DepthNCAModel method) (ncalab.models.applications.depth.DepthNCAModel method) (ncalab.models.applications.DepthNCAModel method) (ncalab.models.applications.growing.growingNCA.GrowingNCAModel method) (ncalab.models.applications.growing.GrowingNCAModel method) (ncalab.models.applications.GrowingNCAModel method) (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel method) (ncalab.models.applications.segmentation.SegmentationNCAModel method) (ncalab.models.applications.SegmentationNCAModel method) (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.models.ClassificationNCAModel method) (ncalab.models.DepthNCAModel method) (ncalab.models.GrowingNCAModel method) (ncalab.models.SegmentationNCAModel method) (ncalab.SegmentationNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method)

lr_gamma (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute)

M

make_seed() (ncalab.GrowingNCAModel method) (ncalab.models.applications.growing.growingNCA.GrowingNCAModel method) (ncalab.models.applications.growing.GrowingNCAModel method) (ncalab.models.applications.GrowingNCAModel method) (ncalab.models.GrowingNCAModel method) max_epochs (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute) max_steps (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) MCMC (class in ncalab) (class in ncalab.uncertainty) (class in ncalab.uncertainty.uncertainty_estimator) metrics (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) metrics() (ncalab.BasicNCAModel method), [1], [2] (ncalab.ClassificationNCAModel method) (ncalab.DepthNCAModel method) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel method) (ncalab.models.applications.classification.ClassificationNCAModel method) (ncalab.models.applications.ClassificationNCAModel method) (ncalab.models.applications.depth.depthNCA.DepthNCAModel method) (ncalab.models.applications.depth.DepthNCAModel method) (ncalab.models.applications.DepthNCAModel method) (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel method) (ncalab.models.applications.segmentation.SegmentationNCAModel method) (ncalab.models.applications.SegmentationNCAModel method) (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.models.ClassificationNCAModel method) (ncalab.models.DepthNCAModel method) (ncalab.models.SegmentationNCAModel method) (ncalab.SegmentationNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) min_delta (ncalab.EarlyStopping attribute) (ncalab.training.EarlyStopping attribute), [1] (ncalab.training.earlystopping.EarlyStopping attribute) min_steps (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) model (ncalab.Prediction attribute), [1], [2], [3] (ncalab.prediction.Prediction attribute) (ncalab.training.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) model_class (ncalab.ParameterSearch attribute) (ncalab.search.ParameterSearch attribute) (ncalab.search.search.ParameterSearch attribute) model_name (ncalab.KFoldCrossValidationTrainer attribute) (ncalab.training.kfold.KFoldCrossValidationTrainer attribute) (ncalab.training.KFoldCrossValidationTrainer attribute) model_params (ncalab.ParameterSearch attribute) (ncalab.search.ParameterSearch attribute) (ncalab.search.search.ParameterSearch attribute) model_path (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute)

model_prototype (ncalab.KFoldCrossValidationTrainer attribute) (ncalab.training.kfold.KFoldCrossValidationTrainer attribute) (ncalab.training.KFoldCrossValidationTrainer attribute) models (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) modified_timestamp (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) module ncalab ncalab.autostepper ncalab.data ncalab.data.growingncadataset ncalab.export ncalab.export.header ncalab.export.onnx ncalab.export.tflite ncalab.losses ncalab.models ncalab.models.applications ncalab.models.applications.classification ncalab.models.applications.classification.classificationNCA ncalab.models.applications.classification.classificationNCAhead ncalab.models.applications.depth ncalab.models.applications.depth.depthNCA ncalab.models.applications.growing ncalab.models.applications.growing.growingNCA ncalab.models.applications.segmentation ncalab.models.applications.segmentation.segmentationNCA ncalab.models.basicNCA ncalab.models.basicNCA.basicNCA ncalab.models.basicNCA.basicNCAhead ncalab.models.basicNCA.basicNCAperception ncalab.models.basicNCA.basicNCArule ncalab.models.wrappers ncalab.models.wrappers.cascadeNCA ncalab.models.wrappers.ensemble ncalab.paths ncalab.prediction ncalab.search ncalab.search.search ncalab.training ncalab.training.distillation_trainer ncalab.training.earlystopping ncalab.training.kfold ncalab.training.pool ncalab.training.trainer ncalab.training.traininghistory ncalab.training.trainingparameters ncalab.uncertainty ncalab.uncertainty.uncertainty_estimator ncalab.utils ncalab.visualization ncalab.visualization.animation ncalab.visualization.confusionmatrix ncalab.visualization.visualization mutable (ncalab.ParameterSet attribute) (ncalab.search.ParameterSet attribute) (ncalab.search.search.ParameterSet attribute)

N

N (ncalab.NQM attribute) (ncalab.uncertainty.NQM attribute) (ncalab.uncertainty.uncertainty_estimator.NQM attribute) N_last (ncalab.MCMC attribute) (ncalab.uncertainty.MCMC attribute) (ncalab.uncertainty.uncertainty_estimator.MCMC attribute) n_seed (ncalab.Pool attribute) (ncalab.training.Pool attribute) (ncalab.training.pool.Pool attribute) nca (ncalab.BasicNCAPerception attribute) (ncalab.BasicNCATrainer attribute), [1] (ncalab.models.basicNCA.BasicNCAPerception attribute) (ncalab.models.basicNCA.basicNCAperception.BasicNCAPerception attribute) (ncalab.models.BasicNCAPerception attribute) (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute) (ncalab.uncertainty.uncertainty_estimator.UncertaintyEstimator attribute) (ncalab.uncertainty.UncertaintyEstimator attribute) (ncalab.UncertaintyEstimator attribute) ncalab module ncalab.autostepper module ncalab.data module ncalab.data.growingncadataset module ncalab.export module ncalab.export.header module ncalab.export.onnx module ncalab.export.tflite module ncalab.losses module ncalab.models module ncalab.models.applications module ncalab.models.applications.classification module ncalab.models.applications.classification.classificationNCA module ncalab.models.applications.classification.classificationNCAhead module ncalab.models.applications.depth module ncalab.models.applications.depth.depthNCA module ncalab.models.applications.growing module ncalab.models.applications.growing.growingNCA module ncalab.models.applications.segmentation module ncalab.models.applications.segmentation.segmentationNCA module ncalab.models.basicNCA module ncalab.models.basicNCA.basicNCA module ncalab.models.basicNCA.basicNCAhead module ncalab.models.basicNCA.basicNCAperception module ncalab.models.basicNCA.basicNCArule module ncalab.models.wrappers module ncalab.models.wrappers.cascadeNCA module ncalab.models.wrappers.ensemble module ncalab.paths module ncalab.prediction module ncalab.search module ncalab.search.search module ncalab.training module ncalab.training.distillation_trainer module ncalab.training.earlystopping module ncalab.training.kfold module ncalab.training.pool module ncalab.training.trainer module

ncalab.training.traininghistory module ncalab.training.trainingparameters module ncalab.uncertainty module ncalab.uncertainty.uncertainty_estimator module ncalab.utils module ncalab.visualization module ncalab.visualization.animation module ncalab.visualization.confusionmatrix module ncalab.visualization.visualization module ncas (ncalab.models.wrappers.ensemble.EnsembleNCA attribute) new_instance (ncalab.visualization.visualization.VisualMultiImageClassification attribute) (ncalab.visualization.VisualMultiImageClassification attribute) (ncalab.VisualMultiImageClassification attribute) next() (ncalab.ParameterSet method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSet method) nonlinearity (ncalab.BasicNCARule attribute) (ncalab.models.basicNCA.BasicNCARule attribute) (ncalab.models.basicNCA.basicNCArule.BasicNCARule attribute) (ncalab.models.BasicNCARule attribute) normalize (ncalab.MCMC attribute) (ncalab.NQM attribute) (ncalab.uncertainty.MCMC attribute) (ncalab.uncertainty.NQM attribute) (ncalab.uncertainty.uncertainty_estimator.MCMC attribute) (ncalab.uncertainty.uncertainty_estimator.NQM attribute) NQM (class in ncalab) (class in ncalab.uncertainty) (class in ncalab.uncertainty.uncertainty_estimator) num_channels (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) num_classes (ncalab.ClassificationNCAHead attribute) (ncalab.ClassificationNCAModel property) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel property) (ncalab.models.applications.classification.ClassificationNCAHead attribute) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead attribute) (ncalab.models.applications.classification.ClassificationNCAModel property) (ncalab.models.applications.ClassificationNCAHead attribute) (ncalab.models.applications.ClassificationNCAModel property) (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel attribute) (ncalab.models.applications.segmentation.SegmentationNCAModel attribute) (ncalab.models.applications.SegmentationNCAModel attribute) (ncalab.models.ClassificationNCAHead attribute) (ncalab.models.ClassificationNCAModel property) (ncalab.models.SegmentationNCAModel attribute) (ncalab.SegmentationNCAModel attribute) num_combinations() (ncalab.ParameterSet method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSet method) num_hidden_channels (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.ClassificationNCAHead attribute) (ncalab.models.applications.classification.ClassificationNCAHead attribute) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead attribute) (ncalab.models.applications.ClassificationNCAHead attribute) (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.models.ClassificationNCAHead attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) num_image_channels (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) num_learned_filters (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) num_output_channels (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) num_trainable_parameters() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method)

O

optimizer_method (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute) output_array (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) output_channels (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property)

output_channels_np (ncalab.Prediction property), [1], [2], [3] (ncalab.prediction.Prediction property) (ncalab.training.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) output_image (ncalab.Prediction attribute), [1], [2], [3] (ncalab.prediction.Prediction attribute) (ncalab.training.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) output_size (ncalab.BasicNCARule attribute) (ncalab.models.basicNCA.BasicNCARule attribute) (ncalab.models.basicNCA.basicNCArule.BasicNCARule attribute) (ncalab.models.BasicNCARule attribute)

P

p_damage (ncalab.Pool attribute) (ncalab.training.Pool attribute) (ncalab.training.pool.Pool attribute) pad_input() (in module ncalab), [1] (in module ncalab.training) (in module ncalab.utils) pad_noise (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) ParameterSearch (class in ncalab) (class in ncalab.search) (class in ncalab.search.search) ParameterSet (class in ncalab) (class in ncalab.search) (class in ncalab.search.search) params (ncalab.ParameterSet attribute) (ncalab.search.ParameterSet attribute) (ncalab.search.search.ParameterSet attribute) path (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) patience (ncalab.EarlyStopping attribute) (ncalab.training.EarlyStopping attribute), [1] (ncalab.training.earlystopping.EarlyStopping attribute) perceive() (ncalab.BasicNCAPerception method) (ncalab.models.basicNCA.BasicNCAPerception method) (ncalab.models.basicNCA.basicNCAperception.BasicNCAPerception method) (ncalab.models.BasicNCAPerception method) perception (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) pixel_wise_loss (ncalab.ClassificationNCAModel attribute) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel attribute) (ncalab.models.applications.classification.ClassificationNCAModel attribute) (ncalab.models.applications.ClassificationNCAModel attribute) (ncalab.models.ClassificationNCAModel attribute) plateau (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute)

plot_function (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) Pool (class in ncalab) (class in ncalab.training) (class in ncalab.training.pool) pool (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) (ncalab.training.trainer.BasicNCATrainer attribute) predict() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) Prediction (class in ncalab), [1], [2], [3] (class in ncalab.prediction) (class in ncalab.training) (class in ncalab.uncertainty) (class in ncalab.visualization) prepare_input (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) prepare_input() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) print_mascot() (in module ncalab) (in module ncalab.utils) print_NCALab_banner() (in module ncalab) (in module ncalab.utils) progress_h (ncalab.AnimatorStyle attribute) (ncalab.visualization.animation.AnimatorStyle attribute) (ncalab.visualization.AnimatorStyle attribute)

R

read() (ncalab.SplitDefinition static method) (ncalab.training.kfold.SplitDefinition static method) (ncalab.training.SplitDefinition static method) record() (ncalab.BasicNCAModel method), [1], [2] (ncalab.CascadeNCA method) (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.models.CascadeNCA method) (ncalab.models.wrappers.CascadeNCA method) (ncalab.models.wrappers.cascadeNCA.CascadeNCA method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) ROOT_PATH (in module ncalab) (in module ncalab.paths)

rule (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) rule_type (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) run() (ncalab.AutoStepper method) (ncalab.autostepper.AutoStepper method)

S

sample() (ncalab.Pool method) (ncalab.training.Pool method) (ncalab.training.pool.Pool method) save() (ncalab.Animator method) (ncalab.training.TrainingHistory method), [1], [2] (ncalab.training.traininghistory.TrainingHistory method) (ncalab.TrainingHistory method) (ncalab.visualization.animation.Animator method) (ncalab.visualization.Animator method) scales (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) search() (ncalab.ParameterSearch method) (ncalab.search.ParameterSearch method) (ncalab.search.search.ParameterSearch method) seed (ncalab.data.GrowingNCADataset attribute) (ncalab.data.growingncadataset.GrowingNCADataset attribute) (ncalab.GrowingNCADataset attribute) SegmentationNCAModel (class in ncalab) (class in ncalab.models) (class in ncalab.models.applications) (class in ncalab.models.applications.segmentation) (class in ncalab.models.applications.segmentation.segmentationNCA) show() (ncalab.training.Visual method) (ncalab.Visual method), [1] (ncalab.VisualBinaryImageClassification method) (ncalab.VisualBinaryImageSegmentation method) (ncalab.VisualDepthEstimation method) (ncalab.VisualGrowing method) (ncalab.visualization.Visual method) (ncalab.visualization.VisualBinaryImageClassification method) (ncalab.visualization.VisualBinaryImageSegmentation method) (ncalab.visualization.VisualDepthEstimation method) (ncalab.visualization.VisualGrowing method) (ncalab.visualization.visualization.Visual method) (ncalab.visualization.visualization.VisualBinaryImageClassification method) (ncalab.visualization.visualization.VisualBinaryImageSegmentation method) (ncalab.visualization.visualization.VisualDepthEstimation method) (ncalab.visualization.visualization.VisualGrowing method) (ncalab.visualization.visualization.VisualRGBImageClassification method) (ncalab.visualization.VisualRGBImageClassification method) (ncalab.VisualRGBImageClassification method)

show_image_row() (in module ncalab) (in module ncalab.visualization) (in module ncalab.visualization.visualization) single_model (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) SmoothnessLoss (class in ncalab.models.applications.depth.depthNCA) split (ncalab.KFoldCrossValidationTrainer attribute) (ncalab.training.kfold.KFoldCrossValidationTrainer attribute) (ncalab.training.KFoldCrossValidationTrainer attribute) SplitDefinition (class in ncalab) (class in ncalab.training) (class in ncalab.training.kfold) STATUS_DONE (ncalab.training.traininghistory.TrainingStatus attribute) (ncalab.training.TrainingStatus attribute) (ncalab.TrainingStatus attribute) STATUS_NONE (ncalab.training.traininghistory.TrainingStatus attribute) (ncalab.training.TrainingStatus attribute) (ncalab.TrainingStatus attribute) STATUS_RUNNING (ncalab.training.traininghistory.TrainingStatus attribute) (ncalab.training.TrainingStatus attribute) (ncalab.TrainingStatus attribute) step() (ncalab.EarlyStopping method) (ncalab.training.EarlyStopping method), [1] (ncalab.training.earlystopping.EarlyStopping method) steps (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) (ncalab.Prediction attribute), [1], [2], [3] (ncalab.prediction.Prediction attribute) (ncalab.training.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) steps_range (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) steps_validation (ncalab.training.distillation_trainer.DistillationNCATrainer attribute)

T

TASK_PATH (in module ncalab) (in module ncalab.paths) teacher (ncalab.training.distillation_trainer.DistillationNCATrainer attribute) tensor_to_C() (in module ncalab.export.header) threshold (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) to_dict() (ncalab.BasicNCAModel method), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.training.BasicNCAModel method), [1] (ncalab.training.TrainingHistory method), [1], [2] (ncalab.training.traininghistory.TrainingHistory method) (ncalab.TrainingHistory method) (ncalab.uncertainty.BasicNCAModel method) to_string() (ncalab.visualization.confusionmatrix.ConfusionMatrix method) train (ncalab.training.kfold.TrainValRecord attribute) (ncalab.training.TrainValRecord attribute) (ncalab.TrainValRecord attribute) train() (ncalab.BasicNCATrainer method), [1] (ncalab.KFoldCrossValidationTrainer method) (ncalab.search.BasicNCATrainer method) (ncalab.training.BasicNCATrainer method), [1] (ncalab.training.distillation_trainer.DistillationNCATrainer method) (ncalab.training.kfold.KFoldCrossValidationTrainer method) (ncalab.training.KFoldCrossValidationTrainer method) (ncalab.training.trainer.BasicNCATrainer method)

trainer (ncalab.KFoldCrossValidationTrainer attribute) (ncalab.training.kfold.KFoldCrossValidationTrainer attribute) (ncalab.training.KFoldCrossValidationTrainer attribute) trainer_params (ncalab.ParameterSearch attribute) (ncalab.search.ParameterSearch attribute) (ncalab.search.search.ParameterSearch attribute) training_timesteps (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) TrainingHistory (class in ncalab) (class in ncalab.training), [1], [2] (class in ncalab.training.traininghistory) TrainingParameters (class in ncalab.training.trainingparameters) TrainingStatus (class in ncalab) (class in ncalab.training) (class in ncalab.training.traininghistory) TrainValRecord (class in ncalab) (class in ncalab.training) (class in ncalab.training.kfold)

U

UncertaintyEstimator (class in ncalab) (class in ncalab.uncertainty) (class in ncalab.uncertainty.uncertainty_estimator) underline (ncalab.AnimatorStyle attribute) (ncalab.visualization.animation.AnimatorStyle attribute) (ncalab.visualization.AnimatorStyle attribute) unwrap() (in module ncalab), [1], [2] (in module ncalab.training) (in module ncalab.utils) (in module ncalab.visualization) update() (ncalab.Pool method) (ncalab.training.Pool method) (ncalab.training.pool.Pool method) (ncalab.training.TrainingHistory method), [1], [2] (ncalab.training.traininghistory.TrainingHistory method) (ncalab.TrainingHistory method) upscale() (in module ncalab.models.wrappers.cascadeNCA) use_alive_mask (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute)

use_classifier (ncalab.ClassificationNCAModel attribute) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel attribute) (ncalab.models.applications.classification.ClassificationNCAModel attribute) (ncalab.models.applications.ClassificationNCAModel attribute) (ncalab.models.ClassificationNCAModel attribute) use_laplace (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) use_temporal_encoding (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute)

V

val (ncalab.training.kfold.TrainValRecord attribute) (ncalab.training.TrainValRecord attribute) (ncalab.TrainValRecord attribute) validate() (ncalab.BasicNCAModel method), [1], [2] (ncalab.CascadeNCA method) (ncalab.GrowingNCAModel method) (ncalab.models.applications.growing.growingNCA.GrowingNCAModel method) (ncalab.models.applications.growing.GrowingNCAModel method) (ncalab.models.applications.GrowingNCAModel method) (ncalab.models.basicNCA.basicNCA.BasicNCAModel method) (ncalab.models.basicNCA.BasicNCAModel method) (ncalab.models.BasicNCAModel method) (ncalab.models.CascadeNCA method) (ncalab.models.GrowingNCAModel method) (ncalab.models.wrappers.CascadeNCA method) (ncalab.models.wrappers.cascadeNCA.CascadeNCA method) (ncalab.training.BasicNCAModel method), [1] (ncalab.uncertainty.BasicNCAModel method) validation_metric (ncalab.BasicNCAModel attribute), [1], [2] (ncalab.models.basicNCA.basicNCA.BasicNCAModel attribute) (ncalab.models.basicNCA.BasicNCAModel attribute) (ncalab.models.BasicNCAModel attribute) (ncalab.training.BasicNCAModel attribute), [1] (ncalab.uncertainty.BasicNCAModel attribute) verbose (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) (ncalab.training.TrainingHistory attribute), [1], [2] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute)

vignette (ncalab.DepthNCAModel attribute) (ncalab.models.applications.depth.depthNCA.DepthNCAModel attribute) (ncalab.models.applications.depth.DepthNCAModel attribute) (ncalab.models.applications.DepthNCAModel attribute) (ncalab.models.DepthNCAModel attribute) Visual (class in ncalab), [1] (class in ncalab.training) (class in ncalab.visualization) (class in ncalab.visualization.visualization) VisualBinaryImageClassification (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.visualization) VisualBinaryImageSegmentation (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.visualization) VisualDepthEstimation (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.visualization) VisualGrowing (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.visualization) VisualMultiImageClassification (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.visualization) VisualRGBImageClassification (class in ncalab) (class in ncalab.visualization) (class in ncalab.visualization.visualization)

W

WEIGHTS_PATH (in module ncalab) (in module ncalab.paths) wrapped (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute)