Index

A

accumulate() (congrads.metrics.Metric method) (congrads.metrics.MetricManager method) add() (congrads.descriptor.Descriptor method) add_value() (congrads.utils.CSVLogger method)

affects_loss_keys (congrads.descriptor.Descriptor attribute) aggregate() (congrads.metrics.Metric method) (congrads.metrics.MetricManager method) ANDConstraint (class in congrads.constraints) ApplyOperator (class in congrads.transformations)

B

base_dataset (congrads.utils.DictDatasetWrapper attribute) BiasCorrection (class in congrads.datasets)

BinaryConstraint (class in congrads.constraints) blend_k (congrads.datasets.SectionedGaussians attribute)

C

calculate_direction() (congrads.constraints.ANDConstraint method) (congrads.constraints.BinaryConstraint method) (congrads.constraints.Constraint method) (congrads.constraints.GroupedMonotonicityConstraint method) (congrads.constraints.ImplicationConstraint method) (congrads.constraints.MonotonicityConstraint method) (congrads.constraints.ORConstraint method) (congrads.constraints.ScalarConstraint method) (congrads.constraints.SumConstraint method) check_constraint() (congrads.constraints.ANDConstraint method) (congrads.constraints.BinaryConstraint method) (congrads.constraints.Constraint method) (congrads.constraints.GroupedMonotonicityConstraint method) (congrads.constraints.ImplicationConstraint method) (congrads.constraints.MonotonicityConstraint method) (congrads.constraints.ORConstraint method) (congrads.constraints.ScalarConstraint method) (congrads.constraints.SumConstraint method) CheckpointManager (class in congrads.checkpoints) congrads.checkpoints module

congrads.constraints module congrads.core module congrads.datasets module congrads.descriptor module congrads.metrics module congrads.networks module congrads.transformations module congrads.utils module CongradsCore (class in congrads.core) constant_keys (congrads.descriptor.Descriptor attribute) Constraint (class in congrads.constraints) context (congrads.datasets.SectionedGaussians attribute) CSVLogger (class in congrads.utils)

D

data (congrads.datasets.SyntheticClusters attribute) data_folder (congrads.datasets.BiasCorrection property) (congrads.datasets.FamilyIncome property) DenormalizeMinMax (class in congrads.transformations) Descriptor (class in congrads.descriptor)

descriptor (congrads.constraints.Constraint attribute) device (congrads.constraints.Constraint attribute) DictDatasetWrapper (class in congrads.utils) download() (congrads.datasets.BiasCorrection method) (congrads.datasets.FamilyIncome method)

E

energies (congrads.datasets.SectionedGaussians attribute)

evaluate_criteria() (congrads.checkpoints.CheckpointManager method) exists() (congrads.descriptor.Descriptor method)

F

FamilyIncome (class in congrads.datasets) field_names (congrads.utils.DictDatasetWrapper attribute)

fit() (congrads.core.CongradsCore method) forward() (congrads.networks.MLPNetwork method) (congrads.utils.ZeroLoss method)

G

ground_truth_steepness (congrads.datasets.SectionedGaussians attribute)

GroupedMonotonicityConstraint (class in congrads.constraints)

I

IdentityTransformation (class in congrads.transformations)

ImplicationConstraint (class in congrads.constraints) is_torch_loss() (in module congrads.utils)

L

labels (congrads.datasets.SyntheticClusters attribute) load() (congrads.checkpoints.CheckpointManager method) (congrads.utils.CSVLogger method)

location() (congrads.descriptor.Descriptor method)

M

Metric (class in congrads.metrics) MetricManager (class in congrads.metrics) mirrors (congrads.datasets.BiasCorrection attribute) (congrads.datasets.FamilyIncome attribute) MLPNetwork (class in congrads.networks) module congrads.checkpoints congrads.constraints congrads.core congrads.datasets congrads.descriptor congrads.metrics congrads.networks congrads.transformations congrads.utils

MonotonicityConstraint (class in congrads.constraints)

N

n_runs (congrads.datasets.SectionedGaussians attribute)

n_samples (congrads.datasets.SectionedGaussians attribute)

O

ORConstraint (class in congrads.constraints)

P

preprocess_AdultCensusIncome() (in module congrads.utils) preprocess_BiasCorrection() (in module congrads.utils)

preprocess_FamilyIncome() (in module congrads.utils) process_data_monotonicity_constraint() (in module congrads.utils)

R

register() (congrads.metrics.MetricManager method) reset() (congrads.metrics.Metric method) (congrads.metrics.MetricManager method) reset_all() (congrads.metrics.MetricManager method)

resources (congrads.datasets.BiasCorrection attribute) (congrads.datasets.FamilyIncome attribute) resume() (congrads.checkpoints.CheckpointManager method) roll_seed() (congrads.utils.Seeder method)

S

save() (congrads.checkpoints.CheckpointManager method) (congrads.utils.CSVLogger method) ScalarConstraint (class in congrads.constraints) SectionedGaussians (class in congrads.datasets) sections (congrads.datasets.SectionedGaussians attribute) Seeder (class in congrads.utils)

select() (congrads.descriptor.Descriptor method) set_reproducible() (congrads.utils.Seeder method) signal (congrads.datasets.SectionedGaussians attribute) split_data_loaders() (in module congrads.utils) SumConstraint (class in congrads.constraints) SyntheticClusters (class in congrads.datasets) SyntheticMonotonicity (class in congrads.datasets)

T

test_step() (congrads.core.CongradsCore static method) time (congrads.datasets.SectionedGaussians attribute) to_dataframe() (congrads.utils.CSVLogger static method)

to_dict() (congrads.utils.CSVLogger static method) torch_loss_wrapper() (in module congrads.utils) train_step() (congrads.core.CongradsCore static method) Transformation (class in congrads.transformations)

V

valid_step() (congrads.core.CongradsCore static method) validate_callable() (in module congrads.utils) validate_callable_iterable() (in module congrads.utils) validate_comparator_pytorch() (in module congrads.utils)

validate_iterable() (in module congrads.utils) validate_loaders() (in module congrads.utils) validate_type() (in module congrads.utils) variable_keys (congrads.descriptor.Descriptor attribute)

X

x_max (congrads.datasets.SectionedGaussians attribute)

x_min (congrads.datasets.SectionedGaussians attribute)

Z

ZeroLoss (class in congrads.utils)