Index

A

AE (class in dataeval.utils.tensorflow.models) AEGMM (class in dataeval.utils.tensorflow.models)

AETrainer (class in dataeval.utils.torch.trainer) AriaAutoencoder (class in dataeval.utils.torch.models) aspect_ratio (dataeval.metrics.stats.DimensionStatsOutput attribute)

B

balance (dataeval.metrics.bias.BalanceOutput attribute) balance() (in module dataeval.metrics.bias) BalanceOutput (class in dataeval.metrics.bias) ber (dataeval.metrics.estimators.BEROutput attribute)

ber() (in module dataeval.metrics.estimators) ber_lower (dataeval.metrics.estimators.BEROutput attribute) BEROutput (class in dataeval.metrics.estimators) boxratiostats() (in module dataeval.metrics.stats) brightness (dataeval.metrics.stats.VisualStatsOutput attribute)

C

center (dataeval.metrics.stats.DimensionStatsOutput attribute) channels (dataeval.metrics.stats.DimensionStatsOutput attribute) channelstats() (in module dataeval.metrics.stats) ChannelStatsOutput (class in dataeval.metrics.stats) CIFAR10 (class in dataeval.utils.torch.datasets) class_count (dataeval.metrics.stats.LabelStatsOutput attribute) classwise (dataeval.metrics.bias.BalanceOutput attribute) (dataeval.metrics.bias.DiversityOutput attribute)

Clusterer (class in dataeval.detectors.linters) ClustererOutput (class in dataeval.detectors.linters) contrast (dataeval.metrics.stats.VisualStatsOutput attribute) coverage() (in module dataeval.metrics.bias) CoverageOutput (class in dataeval.metrics.bias) create_model() (in module dataeval.utils.tensorflow.models) critical_value (dataeval.metrics.bias.CoverageOutput attribute)

D

darkness (dataeval.metrics.stats.VisualStatsOutput attribute) dataeval.detectors module dataeval.detectors.drift module dataeval.detectors.linters module dataeval.detectors.ood module dataeval.metrics module dataeval.metrics.bias module dataeval.metrics.estimators module dataeval.metrics.stats module dataeval.utils module dataeval.utils.tensorflow module dataeval.utils.torch module dataeval.workflows module

datasetstats() (in module dataeval.metrics.stats) DatasetStatsOutput (class in dataeval.metrics.stats) Decoder (class in dataeval.utils.torch.models) depth (dataeval.metrics.stats.DimensionStatsOutput attribute) dimensionstats (dataeval.metrics.stats.DatasetStatsOutput attribute) dimensionstats() (in module dataeval.metrics.stats) DimensionStatsOutput (class in dataeval.metrics.stats) distance (dataeval.detectors.drift.DriftMMDOutput attribute) (dataeval.metrics.stats.DimensionStatsOutput attribute) distance_threshold (dataeval.detectors.drift.DriftMMDOutput attribute) distances (dataeval.detectors.drift.DriftOutput attribute) divergence (dataeval.metrics.estimators.DivergenceOutput attribute) divergence() (in module dataeval.metrics.estimators) DivergenceOutput (class in dataeval.metrics.estimators) diversity() (in module dataeval.metrics.bias) diversity_index (dataeval.metrics.bias.DiversityOutput attribute) DiversityOutput (class in dataeval.metrics.bias) DriftCVM (class in dataeval.detectors.drift) DriftKS (class in dataeval.detectors.drift) DriftMMD (class in dataeval.detectors.drift) DriftMMDOutput (class in dataeval.detectors.drift) DriftOutput (class in dataeval.detectors.drift) DriftUncertainty (class in dataeval.detectors.drift) Duplicates (class in dataeval.detectors.linters) duplicates (dataeval.detectors.linters.ClustererOutput attribute) DuplicatesOutput (class in dataeval.detectors.linters)

E

Elbo (class in dataeval.utils.tensorflow.loss) encode() (dataeval.utils.torch.trainer.AETrainer method) Encoder (class in dataeval.utils.torch.models) entropy (dataeval.metrics.stats.PixelStatsOutput attribute) errors (dataeval.metrics.estimators.DivergenceOutput attribute) eucl_cosim_features() (in module dataeval.utils.tensorflow.recon)

eval() (dataeval.utils.torch.trainer.AETrainer method) evaluate() (dataeval.detectors.linters.Clusterer method) (dataeval.detectors.linters.Duplicates method) (dataeval.detectors.linters.Outliers method) (dataeval.workflows.Sufficiency method) exact (dataeval.detectors.linters.DuplicatesOutput attribute)

F

factors (dataeval.metrics.bias.BalanceOutput attribute) feature_drift (dataeval.detectors.drift.DriftOutput attribute) feature_score (dataeval.detectors.ood.OODOutput attribute) feature_threshold (dataeval.detectors.drift.DriftOutput attribute) find_duplicates() (dataeval.detectors.linters.Clusterer method) find_outliers() (dataeval.detectors.linters.Clusterer method) fit() (dataeval.detectors.ood.OOD_AE method) (dataeval.detectors.ood.OOD_AEGMM method) (dataeval.detectors.ood.OOD_LLR method) (dataeval.detectors.ood.OOD_VAE method) (dataeval.detectors.ood.OOD_VAEGMM method)

forward() (dataeval.detectors.drift.kernels.GaussianRBF method) from_stats() (dataeval.detectors.linters.Duplicates method) (dataeval.detectors.linters.Outliers method)

G

GaussianRBF (class in dataeval.detectors.drift.kernels) get() (dataeval.detectors.ood.OODScoreOutput method) get_channel_mask() (dataeval.metrics.stats.DimensionStatsOutput method) (dataeval.metrics.stats.HashStatsOutput method) (dataeval.metrics.stats.PixelStatsOutput method) (dataeval.metrics.stats.VisualStatsOutput method)

H

hashstats() (in module dataeval.metrics.stats) HashStatsOutput (class in dataeval.metrics.stats)

height (dataeval.metrics.stats.DimensionStatsOutput attribute) histogram (dataeval.metrics.stats.PixelStatsOutput attribute)

I

image_count (dataeval.metrics.stats.LabelStatsOutput attribute) image_counts_per_label (dataeval.metrics.stats.LabelStatsOutput attribute) image_indices_per_label (dataeval.metrics.stats.LabelStatsOutput attribute) indices (dataeval.metrics.bias.CoverageOutput attribute) instance_score (dataeval.detectors.ood.OODOutput attribute)

inv_project() (dataeval.workflows.SufficiencyOutput method) is_drift (dataeval.detectors.drift.DriftMMDOutput attribute) (dataeval.detectors.drift.DriftOutput attribute) is_ood (dataeval.detectors.ood.OODOutput attribute) issues (dataeval.detectors.linters.OutliersOutput attribute)

K

kurtosis (dataeval.metrics.stats.PixelStatsOutput attribute)

L

label_count (dataeval.metrics.stats.LabelStatsOutput attribute) label_counts_per_class (dataeval.metrics.stats.LabelStatsOutput attribute) label_counts_per_image (dataeval.metrics.stats.LabelStatsOutput attribute) label_parity() (in module dataeval.metrics.bias) labelstats (dataeval.metrics.stats.DatasetStatsOutput attribute)

labelstats() (in module dataeval.metrics.stats) LabelStatsOutput (class in dataeval.metrics.stats) LastSeenUpdate (class in dataeval.detectors.drift.updates) left (dataeval.metrics.stats.DimensionStatsOutput attribute) LossGMM (class in dataeval.utils.tensorflow.loss)

M

mean (dataeval.metrics.stats.PixelStatsOutput attribute) measures (dataeval.workflows.SufficiencyOutput attribute) missing (dataeval.metrics.stats.VisualStatsOutput attribute) MNIST (class in dataeval.utils.torch.datasets) module dataeval.detectors dataeval.detectors.drift dataeval.detectors.linters dataeval.detectors.ood dataeval.metrics dataeval.metrics.bias dataeval.metrics.estimators dataeval.metrics.stats dataeval.utils dataeval.utils.tensorflow dataeval.utils.torch dataeval.workflows

N

n_features (dataeval.detectors.drift.DriftCVM property) (dataeval.detectors.drift.DriftKS property)

near (dataeval.detectors.linters.DuplicatesOutput attribute)

O

OOD_AE (class in dataeval.detectors.ood) OOD_AEGMM (class in dataeval.detectors.ood) OOD_LLR (class in dataeval.detectors.ood) OOD_VAE (class in dataeval.detectors.ood) OOD_VAEGMM (class in dataeval.detectors.ood)

OODOutput (class in dataeval.detectors.ood) OODScoreOutput (class in dataeval.detectors.ood) Outliers (class in dataeval.detectors.linters) outliers (dataeval.detectors.linters.ClustererOutput attribute) OutliersOutput (class in dataeval.detectors.linters)

P

p_val (dataeval.detectors.drift.DriftMMDOutput attribute) p_vals (dataeval.detectors.drift.DriftOutput attribute) p_value (dataeval.metrics.bias.ParityOutput attribute) params (dataeval.workflows.SufficiencyOutput attribute) parity() (in module dataeval.metrics.bias) ParityOutput (class in dataeval.metrics.bias) pchash (dataeval.metrics.stats.HashStatsOutput attribute) percentiles (dataeval.metrics.stats.VisualStatsOutput attribute) PixelCNN (class in dataeval.utils.tensorflow.models) pixelstats (dataeval.metrics.stats.ChannelStatsOutput attribute) (dataeval.metrics.stats.DatasetStatsOutput attribute) pixelstats() (in module dataeval.metrics.stats) PixelStatsOutput (class in dataeval.metrics.stats)

plot() (dataeval.workflows.SufficiencyOutput method) potential_duplicates (dataeval.detectors.linters.ClustererOutput attribute) potential_outliers (dataeval.detectors.linters.ClustererOutput attribute) predict() (dataeval.detectors.drift.DriftCVM method) (dataeval.detectors.drift.DriftKS method) (dataeval.detectors.drift.DriftMMD method) (dataeval.detectors.drift.DriftUncertainty method) (dataeval.detectors.ood.OOD_AE method) (dataeval.detectors.ood.OOD_AEGMM method) (dataeval.detectors.ood.OOD_LLR method) (dataeval.detectors.ood.OOD_VAE method) (dataeval.detectors.ood.OOD_VAEGMM method) project() (dataeval.workflows.SufficiencyOutput method)

R

radii (dataeval.metrics.bias.CoverageOutput attribute)

read_dataset() (in module dataeval.utils.torch) ReservoirSamplingUpdate (class in dataeval.detectors.drift.updates)

S

score (dataeval.metrics.bias.ParityOutput attribute) score() (dataeval.detectors.drift.DriftCVM method) (dataeval.detectors.drift.DriftKS method) (dataeval.detectors.drift.DriftMMD method) (dataeval.detectors.ood.OOD_AE method) (dataeval.detectors.ood.OOD_AEGMM method) (dataeval.detectors.ood.OOD_LLR method) (dataeval.detectors.ood.OOD_VAE method) (dataeval.detectors.ood.OOD_VAEGMM method)

sharpness (dataeval.metrics.stats.VisualStatsOutput attribute) size (dataeval.metrics.stats.DimensionStatsOutput attribute) skew (dataeval.metrics.stats.PixelStatsOutput attribute) stats (dataeval.detectors.linters.Duplicates attribute) (dataeval.detectors.linters.Outliers attribute) std (dataeval.metrics.stats.PixelStatsOutput attribute) steps (dataeval.workflows.SufficiencyOutput attribute) Sufficiency (class in dataeval.workflows) SufficiencyOutput (class in dataeval.workflows)

T

threshold (dataeval.detectors.drift.DriftMMDOutput attribute) (dataeval.detectors.drift.DriftOutput attribute)

top (dataeval.metrics.stats.DimensionStatsOutput attribute) train() (dataeval.utils.torch.trainer.AETrainer method)

U

uap (dataeval.metrics.estimators.UAPOutput attribute)

uap() (in module dataeval.metrics.estimators) UAPOutput (class in dataeval.metrics.estimators)

V

VAE (class in dataeval.utils.tensorflow.models) VAEGMM (class in dataeval.utils.tensorflow.models) var (dataeval.metrics.stats.PixelStatsOutput attribute) visualstats (dataeval.metrics.stats.ChannelStatsOutput attribute) (dataeval.metrics.stats.DatasetStatsOutput attribute)

visualstats() (in module dataeval.metrics.stats) VisualStatsOutput (class in dataeval.metrics.stats) VOCDetection (class in dataeval.utils.torch.datasets)

W

width (dataeval.metrics.stats.DimensionStatsOutput attribute)

X

x_ref (dataeval.detectors.drift.DriftCVM property) (dataeval.detectors.drift.DriftKS property) (dataeval.detectors.drift.DriftMMD property)

xxhash (dataeval.metrics.stats.HashStatsOutput attribute)

Z

zeros (dataeval.metrics.stats.VisualStatsOutput attribute)