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.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) _build_network() (ncalab.MLPNCARule method) (ncalab.models.basicNCA.MLPNCARule method) (ncalab.models.basicNCA.mlpNCArule.MLPNCARule method) (ncalab.models.MLPNCARule 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.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel 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.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) _gradient_clipping (ncalab.training.trainingparameters.TrainingParameters attribute) _head_prediction_array (ncalab.Prediction attribute), [1], [2] (ncalab.prediction.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) _initialize_network() (ncalab.MLPNCARule method) (ncalab.models.basicNCA.MLPNCARule method) (ncalab.models.basicNCA.mlpNCArule.MLPNCARule method) (ncalab.models.MLPNCARule method) _logits_array (ncalab.Prediction attribute), [1], [2] (ncalab.prediction.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) _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] (ncalab.prediction.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) _post_forward_step() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel method) (ncalab.models.applications.segmentation.SegmentationNCAModel method) (ncalab.models.applications.SegmentationNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.models.SegmentationNCAModel method) (ncalab.SegmentationNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) _score() (ncalab.AutoStepper method) (ncalab.autostepper.AutoStepper method) _to_dict() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) _train_iteration() (ncalab.BasicNCATrainer method), [1] (ncalab.search.BasicNCATrainer method) (ncalab.training.BasicNCATrainer method), [1] (ncalab.training.trainer.BasicNCATrainer method) _update() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method)

A

abbreviate_label() (in module ncalab) (in module ncalab.visualization) (in module ncalab.visualization.visualization) AbstractNCAHead (class in ncalab) (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.abstractNCAhead) AbstractNCAModel (class in ncalab), [1] (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.abstractNCA) (class in ncalab.uncertainty) AbstractNCARule (class in ncalab) (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.abstractNCArule) adam_betas (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (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

BasicNCAPerception (class in ncalab) (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.basicNCAperception) 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.trainer.BasicNCATrainer attribute) batch_size (ncalab.data.GrowingNCADataset attribute) (ncalab.data.growingncadataset.GrowingNCADataset attribute) (ncalab.GrowingNCADataset attribute)

bce_loss (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel attribute) (ncalab.models.applications.segmentation.SegmentationNCAModel attribute) (ncalab.models.applications.SegmentationNCAModel attribute) (ncalab.models.SegmentationNCAModel attribute) (ncalab.SegmentationNCAModel attribute) best_accuracy (ncalab.EarlyStopping attribute) (ncalab.training.EarlyStopping attribute) (ncalab.training.earlystopping.EarlyStopping attribute) (ncalab.training.TrainingHistory attribute), [1] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) best_epoch (ncalab.training.TrainingHistory attribute), [1] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) best_model (ncalab.training.TrainingHistory attribute), [1] (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) ce_loss (ncalab.FocalLoss attribute) (ncalab.losses.FocalLoss attribute) 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) (ncalab.training.earlystopping.EarlyStopping attribute) created_timestamp (ncalab.training.TrainingHistory attribute), [1] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) current_epoch (ncalab.training.TrainingHistory attribute), [1] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) current_model (ncalab.training.TrainingHistory attribute), [1] (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.AbstractNCAModel attribute), [1] (ncalab.AbstractNCARule attribute) (ncalab.ClassificationNCAHead attribute) (ncalab.FocalLoss attribute) (ncalab.losses.FocalLoss attribute) (ncalab.models.AbstractNCAModel attribute) (ncalab.models.AbstractNCARule attribute) (ncalab.models.applications.classification.ClassificationNCAHead attribute) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead attribute) (ncalab.models.applications.ClassificationNCAHead attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCARule attribute) (ncalab.models.basicNCA.abstractNCArule.AbstractNCARule attribute) (ncalab.models.ClassificationNCAHead attribute) (ncalab.ParameterSearch attribute) (ncalab.search.ParameterSearch attribute) (ncalab.search.search.ParameterSearch attribute) (ncalab.uncertainty.AbstractNCAModel attribute)

dice_loss (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel attribute) (ncalab.models.applications.segmentation.SegmentationNCAModel attribute) (ncalab.models.applications.SegmentationNCAModel attribute) (ncalab.models.SegmentationNCAModel attribute) (ncalab.SegmentationNCAModel attribute) DiceBCELoss (class in ncalab) (class in ncalab.losses) DiceLoss (class in ncalab) (class in ncalab.losses) DiceScore (class in ncalab) (class in ncalab.losses) dicescore (ncalab.DiceBCELoss attribute) (ncalab.DiceLoss attribute) (ncalab.losses.DiceBCELoss attribute) (ncalab.losses.DiceLoss attribute) done() (ncalab.EarlyStopping method) (ncalab.training.EarlyStopping method) (ncalab.training.earlystopping.EarlyStopping method) downscale() (in module ncalab.models.wrappers.cascadeNCA) draw_segmentation_overlay() (in module ncalab) (in module ncalab.visualization) (in module ncalab.visualization.animation)

E

EarlyStopping (class in ncalab) (class in ncalab.training) (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.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) finetune (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) finetune() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) fire_rate (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) fix_random_seed() (in module ncalab) (in module ncalab.utils) focal_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) FocalLoss (class in ncalab) (class in ncalab.losses) folds (ncalab.SplitDefinition attribute) (ncalab.training.kfold.SplitDefinition attribute) (ncalab.training.SplitDefinition attribute) forward() (ncalab.AbstractNCAHead method) (ncalab.AbstractNCAModel method), [1] (ncalab.CascadeNCA method) (ncalab.ClassificationNCAHead method) (ncalab.DiceBCELoss method) (ncalab.DiceLoss method) (ncalab.DiceScore method) (ncalab.FocalLoss method) (ncalab.losses.DiceBCELoss method) (ncalab.losses.DiceLoss method) (ncalab.losses.DiceScore method) (ncalab.losses.FocalLoss method) (ncalab.MLPNCARule method) (ncalab.models.AbstractNCAHead method) (ncalab.models.AbstractNCAModel 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.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAHead method) (ncalab.models.basicNCA.abstractNCAhead.AbstractNCAHead method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.models.basicNCA.MLPNCARule method) (ncalab.models.basicNCA.mlpNCArule.MLPNCARule method) (ncalab.models.CascadeNCA method) (ncalab.models.ClassificationNCAHead method) (ncalab.models.MLPNCARule method) (ncalab.models.wrappers.CascadeNCA method) (ncalab.models.wrappers.cascadeNCA.CascadeNCA method) (ncalab.uncertainty.AbstractNCAModel method)

freeze() (ncalab.AbstractNCAHead method) (ncalab.AbstractNCARule method) (ncalab.BasicNCAPerception method) (ncalab.ClassificationNCAHead method) (ncalab.MLPNCARule method) (ncalab.models.AbstractNCAHead method) (ncalab.models.AbstractNCARule method) (ncalab.models.applications.classification.ClassificationNCAHead method) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead method) (ncalab.models.applications.ClassificationNCAHead method) (ncalab.models.basicNCA.AbstractNCAHead method) (ncalab.models.basicNCA.abstractNCAhead.AbstractNCAHead method) (ncalab.models.basicNCA.AbstractNCARule method) (ncalab.models.basicNCA.abstractNCArule.AbstractNCARule method) (ncalab.models.basicNCA.BasicNCAPerception method) (ncalab.models.basicNCA.basicNCAperception.BasicNCAPerception method) (ncalab.models.basicNCA.MLPNCARule method) (ncalab.models.basicNCA.mlpNCArule.MLPNCARule method) (ncalab.models.BasicNCAPerception method) (ncalab.models.ClassificationNCAHead method) (ncalab.models.MLPNCARule method) from_dict() (ncalab.AbstractNCAModel class method), [1] (ncalab.models.AbstractNCAModel class method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel class method) (ncalab.models.basicNCA.AbstractNCAModel class method) (ncalab.uncertainty.AbstractNCAModel class method)

G

gamma (ncalab.FocalLoss attribute) (ncalab.losses.FocalLoss attribute) 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.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.AbstractNCAModel attribute), [1] (ncalab.CascadeNCA attribute) (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) (ncalab.uncertainty.AbstractNCAModel attribute) head_prediction (ncalab.Prediction attribute), [1], [2] (ncalab.prediction.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) head_prediction_array (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) hidden_channels (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property)

hidden_channels_np (ncalab.Prediction property), [1], [2] (ncalab.prediction.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.AbstractNCAModel attribute), [1] (ncalab.AbstractNCARule attribute) (ncalab.models.AbstractNCAModel attribute) (ncalab.models.AbstractNCARule attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCARule attribute) (ncalab.models.basicNCA.abstractNCArule.AbstractNCARule attribute) (ncalab.uncertainty.AbstractNCAModel attribute)

I

image (ncalab.data.GrowingNCADataset attribute) (ncalab.data.growingncadataset.GrowingNCADataset attribute) (ncalab.GrowingNCADataset attribute) image_channels (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) image_channels_np (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) immutable_image_channels (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) index (ncalab.ParameterSet attribute) (ncalab.search.ParameterSet attribute) (ncalab.search.search.ParameterSet attribute) inference_timesteps (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel 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.trainer.BasicNCATrainer method) (ncalab.training.trainingparameters.TrainingParameters method) input_size (ncalab.AbstractNCARule attribute) (ncalab.models.AbstractNCARule attribute) (ncalab.models.basicNCA.AbstractNCARule attribute) (ncalab.models.basicNCA.abstractNCArule.AbstractNCARule attribute) input_vector_size (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) intepret_range_parameter() (in module ncalab) (in module ncalab.utils) is_mutable() (ncalab.ParameterSet method) (ncalab.search.ParameterSet method) (ncalab.search.search.ParameterSet method)

K

kernel_size (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute)

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

L

lambda_hidden (ncalab.ClassificationNCAModel attribute) (ncalab.GrowingNCAModel attribute) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel attribute) (ncalab.models.applications.classification.ClassificationNCAModel attribute) (ncalab.models.applications.ClassificationNCAModel attribute) (ncalab.models.applications.growing.growingNCA.GrowingNCAModel attribute) (ncalab.models.applications.growing.GrowingNCAModel attribute) (ncalab.models.applications.GrowingNCAModel attribute) (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel attribute) (ncalab.models.applications.segmentation.SegmentationNCAModel attribute) (ncalab.models.applications.SegmentationNCAModel attribute) (ncalab.models.ClassificationNCAModel attribute) (ncalab.models.GrowingNCAModel attribute) (ncalab.models.SegmentationNCAModel attribute) (ncalab.SegmentationNCAModel attribute) load() (ncalab.AbstractNCAModel static method), [1] (ncalab.models.AbstractNCAModel static method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel static method) (ncalab.models.basicNCA.AbstractNCAModel static method) (ncalab.uncertainty.AbstractNCAModel static method) logits (ncalab.Prediction attribute), [1], [2] (ncalab.prediction.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) logits_array (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) loss (ncalab.CascadeNCA attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) (ncalab.training.TrainingHistory attribute), [1] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute)

loss() (ncalab.AbstractNCAModel method), [1] (ncalab.ClassificationNCAModel method) (ncalab.DepthNCAModel method) (ncalab.GrowingNCAModel method) (ncalab.models.AbstractNCAModel 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.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.models.ClassificationNCAModel method) (ncalab.models.DepthNCAModel method) (ncalab.models.GrowingNCAModel method) (ncalab.models.SegmentationNCAModel method) (ncalab.SegmentationNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) lr_gamma (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.trainer.BasicNCATrainer attribute) lr_scheduler (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (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.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.AbstractNCAModel attribute), [1] (ncalab.CascadeNCA attribute) (ncalab.ClassificationNCAModel attribute) (ncalab.models.AbstractNCAModel attribute) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel attribute) (ncalab.models.applications.classification.ClassificationNCAModel attribute) (ncalab.models.applications.ClassificationNCAModel attribute) (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel attribute) (ncalab.models.applications.segmentation.SegmentationNCAModel attribute) (ncalab.models.applications.SegmentationNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.models.CascadeNCA attribute) (ncalab.models.ClassificationNCAModel attribute) (ncalab.models.SegmentationNCAModel attribute) (ncalab.models.wrappers.CascadeNCA attribute) (ncalab.models.wrappers.cascadeNCA.CascadeNCA attribute) (ncalab.SegmentationNCAModel attribute) (ncalab.training.TrainingHistory attribute), [1] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) (ncalab.uncertainty.AbstractNCAModel attribute) min_delta (ncalab.EarlyStopping attribute) (ncalab.training.EarlyStopping attribute) (ncalab.training.earlystopping.EarlyStopping attribute) min_steps (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) MLPNCARule (class in ncalab) (class in ncalab.models) (class in ncalab.models.basicNCA) (class in ncalab.models.basicNCA.mlpNCArule) model (ncalab.Prediction attribute), [1], [2] (ncalab.prediction.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.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] (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.abstractNCA ncalab.models.basicNCA.abstractNCAhead ncalab.models.basicNCA.abstractNCArule ncalab.models.basicNCA.basicNCAperception ncalab.models.basicNCA.mlpNCArule ncalab.models.wrappers ncalab.models.wrappers.cascadeNCA ncalab.models.wrappers.ensemble ncalab.paths ncalab.prediction ncalab.search ncalab.search.search ncalab.training 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.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.abstractNCA module ncalab.models.basicNCA.abstractNCAhead module ncalab.models.basicNCA.abstractNCArule module ncalab.models.basicNCA.basicNCAperception module ncalab.models.basicNCA.mlpNCArule 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.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.MLPNCARule attribute) (ncalab.models.basicNCA.MLPNCARule attribute) (ncalab.models.basicNCA.mlpNCArule.MLPNCARule attribute) (ncalab.models.MLPNCARule 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.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel 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.AbstractNCAModel attribute), [1] (ncalab.ClassificationNCAHead attribute) (ncalab.models.AbstractNCAModel attribute) (ncalab.models.applications.classification.ClassificationNCAHead attribute) (ncalab.models.applications.classification.classificationNCAhead.ClassificationNCAHead attribute) (ncalab.models.applications.ClassificationNCAHead attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.models.ClassificationNCAHead attribute) (ncalab.uncertainty.AbstractNCAModel attribute) num_image_channels (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) num_learned_filters (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) num_output_channels (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) num_trainable_parameters() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method)

O

optimizer (ncalab.AbstractNCAHead attribute) (ncalab.models.AbstractNCAHead attribute) (ncalab.models.basicNCA.AbstractNCAHead attribute) (ncalab.models.basicNCA.abstractNCAhead.AbstractNCAHead attribute) optimizer_method (ncalab.BasicNCATrainer attribute), [1] (ncalab.search.BasicNCATrainer attribute) (ncalab.training.BasicNCATrainer attribute), [1] (ncalab.training.trainer.BasicNCATrainer attribute) output_array (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) output_channels (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property)

output_channels_np (ncalab.Prediction property), [1], [2] (ncalab.prediction.Prediction property) (ncalab.uncertainty.Prediction property) (ncalab.visualization.Prediction property) output_image (ncalab.Prediction attribute), [1], [2] (ncalab.prediction.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute) output_size (ncalab.AbstractNCARule attribute) (ncalab.models.AbstractNCARule attribute) (ncalab.models.basicNCA.AbstractNCARule attribute) (ncalab.models.basicNCA.abstractNCArule.AbstractNCARule attribute)

P

p_damage (ncalab.Pool attribute) (ncalab.training.Pool attribute) (ncalab.training.pool.Pool attribute) pad_input() (in module ncalab) (in module ncalab.utils) pad_noise (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel 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] (ncalab.training.traininghistory.TrainingHistory attribute) (ncalab.TrainingHistory attribute) patience (ncalab.EarlyStopping attribute) (ncalab.training.EarlyStopping attribute) (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.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel 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.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel 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.trainer.BasicNCATrainer attribute) post_prediction() (ncalab.AbstractNCAModel method), [1] (ncalab.ClassificationNCAModel method) (ncalab.models.AbstractNCAModel method) (ncalab.models.applications.classification.classificationNCA.ClassificationNCAModel method) (ncalab.models.applications.classification.ClassificationNCAModel method) (ncalab.models.applications.ClassificationNCAModel method) (ncalab.models.applications.segmentation.segmentationNCA.SegmentationNCAModel method) (ncalab.models.applications.segmentation.SegmentationNCAModel method) (ncalab.models.applications.SegmentationNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.models.ClassificationNCAModel method) (ncalab.models.SegmentationNCAModel method) (ncalab.SegmentationNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) predict() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) Prediction (class in ncalab), [1], [2] (class in ncalab.prediction) (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.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel 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.AbstractNCAModel method), [1] (ncalab.CascadeNCA method) (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.models.CascadeNCA method) (ncalab.models.wrappers.CascadeNCA method) (ncalab.models.wrappers.cascadeNCA.CascadeNCA method) (ncalab.uncertainty.AbstractNCAModel method) ROOT_PATH (in module ncalab) (in module ncalab.paths) rule (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute)

rule_args (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) rule_type (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel 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.AbstractNCAModel method), [1] (ncalab.Animator method) (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.training.TrainingHistory method), [1] (ncalab.training.traininghistory.TrainingHistory method) (ncalab.training.trainingparameters.TrainingParameters method) (ncalab.TrainingHistory method) (ncalab.uncertainty.AbstractNCAModel 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.Visual method) (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) STATUS_NONE (ncalab.training.traininghistory.TrainingStatus attribute) STATUS_RUNNING (ncalab.training.traininghistory.TrainingStatus attribute) step() (ncalab.EarlyStopping method) (ncalab.training.EarlyStopping method) (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] (ncalab.prediction.Prediction attribute) (ncalab.uncertainty.Prediction attribute) (ncalab.visualization.Prediction attribute)

T

TASK_PATH (in module ncalab) (in module ncalab.paths) tensor_to_C() (in module ncalab.export.header) threshold (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) to_dict() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.training.TrainingHistory method), [1] (ncalab.training.traininghistory.TrainingHistory method) (ncalab.TrainingHistory method) (ncalab.uncertainty.AbstractNCAModel 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.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.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) TrainingHistory (class in ncalab) (class in ncalab.training), [1] (class in ncalab.training.traininghistory) TrainingParameters (class in ncalab.training.trainingparameters) TrainingStatus (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] (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] (ncalab.training.traininghistory.TrainingHistory method) (ncalab.TrainingHistory method) upscale() (in module ncalab.models.wrappers.cascadeNCA) use_alive_mask (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel 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.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) use_temporal_encoding (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute)

V

val (ncalab.training.kfold.TrainValRecord attribute) (ncalab.training.TrainValRecord attribute) (ncalab.TrainValRecord attribute) validate() (ncalab.AbstractNCAModel method), [1] (ncalab.models.AbstractNCAModel method) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel method) (ncalab.models.basicNCA.AbstractNCAModel method) (ncalab.uncertainty.AbstractNCAModel method) validation_metric (ncalab.AbstractNCAModel attribute), [1] (ncalab.models.AbstractNCAModel attribute) (ncalab.models.basicNCA.abstractNCA.AbstractNCAModel attribute) (ncalab.models.basicNCA.AbstractNCAModel attribute) (ncalab.uncertainty.AbstractNCAModel attribute) verbose (ncalab.AutoStepper attribute) (ncalab.autostepper.AutoStepper attribute) (ncalab.training.TrainingHistory attribute), [1] (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) (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

weight (ncalab.FocalLoss attribute) (ncalab.losses.FocalLoss attribute) 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)