Index

Symbols

--allow-decreasing-criteria lincs-generate-classification-problem command line option --allow-enumerated-criteria lincs-generate-classification-problem command line option --allow-integer-criteria lincs-generate-classification-problem command line option --allow-single-peaked-criteria lincs-generate-classification-problem command line option --alternatives lincs-visualize-classification-model command line option --alternatives-count lincs-visualize-classification-model command line option --denormalized-min-max lincs-generate-classification-problem command line option --doctest-option ./run-development-cycle.sh command line option --dry-run ./publish.sh-finalize command line option ./publish.sh-first-pre command line option ./publish.sh-next-pre command line option ./publish.sh-quick command line option --forbid-chrones ./run-development-cycle.sh command line option --forbid-gpu ./run-development-cycle.sh command line option --forbid-increasing-criteria lincs-generate-classification-problem command line option --forbid-nvcc ./run-development-cycle.sh command line option --forbid-real-criteria lincs-generate-classification-problem command line option --max-imbalance lincs-generate-classified-alternatives command line option --misclassified-count lincs-generate-classified-alternatives command line option --model-type lincs-generate-classification-model command line option lincs-learn-classification-model command line option --mrsort.fixed-weights-sum lincs-generate-classification-model command line option --mrsort.strategy lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.accuracy-heuristic.processor lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.breed-strategy lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.initialization-strategy lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.linear-program.solver lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.max-duration lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.max-duration-without-progress lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.max-iterations lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.max-iterations-without-progress lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.models-count lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.output-metadata lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.profiles-strategy lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.target-accuracy lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.verbose lincs-learn-classification-model command line option --mrsort.weights-profiles-breed.weights-strategy lincs-learn-classification-model command line option --output-alternatives lincs-classify command line option lincs-generate-classified-alternatives command line option --output-description lincs-describe-classification-model command line option lincs-describe-classification-problem command line option --output-model lincs-generate-classification-model command line option lincs-learn-classification-model command line option --output-problem lincs-generate-classification-problem command line option --python-versions ./run-development-cycle.sh command line option --quiet lincs-info-has-gpu command line option

--random-seed lincs-generate-classification-model command line option lincs-generate-classification-problem command line option lincs-generate-classified-alternatives command line option --single-python-version ./run-development-cycle.sh command line option --skip-build ./run-development-cycle.sh command line option --skip-cpp-unit ./run-development-cycle.sh command line option --skip-install ./run-development-cycle.sh command line option --skip-long-unit ./run-development-cycle.sh command line option --skip-max-sat-unit ./run-development-cycle.sh command line option --skip-notebooks ./run-development-cycle.sh command line option --skip-python-unit ./run-development-cycle.sh command line option --skip-sat-unit ./run-development-cycle.sh command line option --skip-unchanged-notebooks ./run-development-cycle.sh command line option --skip-unit ./run-development-cycle.sh command line option --skip-wpb-alglib-unit ./run-development-cycle.sh command line option --skip-wpb-glop-unit ./run-development-cycle.sh command line option --skip-wpb-unit ./run-development-cycle.sh command line option --ucncs.max-sat-by-coalitions.eval-max-sat.coef-minimize-time lincs-learn-classification-model command line option --ucncs.max-sat-by-coalitions.eval-max-sat.nb-minimize-threads lincs-learn-classification-model command line option --ucncs.max-sat-by-coalitions.eval-max-sat.timeout-fast-minimize lincs-learn-classification-model command line option --ucncs.max-sat-by-coalitions.solver lincs-learn-classification-model command line option --ucncs.max-sat-by-separation.eval-max-sat.coef-minimize-time lincs-learn-classification-model command line option --ucncs.max-sat-by-separation.eval-max-sat.nb-minimize-threads lincs-learn-classification-model command line option --ucncs.max-sat-by-separation.eval-max-sat.timeout-fast-minimize lincs-learn-classification-model command line option --ucncs.max-sat-by-separation.solver lincs-learn-classification-model command line option --ucncs.strategy lincs-learn-classification-model command line option --unit-coverage ./run-development-cycle.sh command line option --version lincs command line option --with-docs ./run-development-cycle.sh command line option ./publish.sh-finalize command line option --dry-run ./publish.sh-first-pre command line option --dry-run LEVEL PRE ./publish.sh-next-pre command line option --dry-run ./publish.sh-quick command line option --dry-run LEVEL ./run-development-cycle.sh command line option --doctest-option --forbid-chrones --forbid-gpu --forbid-nvcc --python-versions --single-python-version --skip-build --skip-cpp-unit --skip-install --skip-long-unit --skip-max-sat-unit --skip-notebooks --skip-python-unit --skip-sat-unit --skip-unchanged-notebooks --skip-unit --skip-wpb-alglib-unit --skip-wpb-glop-unit --skip-wpb-unit --unit-coverage --with-docs

_

__call__() (lincs.UniformRandomBitsGenerator method), [1] __init__() (lincs.classification.AcceptedValues method), [1] (lincs.classification.AcceptedValues.EnumeratedThresholds method), [1] (lincs.classification.AcceptedValues.IntegerIntervals method), [1] (lincs.classification.AcceptedValues.IntegerThresholds method), [1] (lincs.classification.AcceptedValues.RealIntervals method), [1] (lincs.classification.AcceptedValues.RealThresholds method), [1] (lincs.classification.Alternative method), [1] (lincs.classification.Alternatives method), [1] (lincs.classification.Category method), [1] (lincs.classification.Criterion method), [1] (lincs.classification.Criterion.EnumeratedValues method), [1] (lincs.classification.Criterion.IntegerValues method), [1] (lincs.classification.Criterion.RealValues method), [1] (lincs.classification.ImproveProfilesWithAccuracyHeuristicOnCpu method), [1] (lincs.classification.ImproveProfilesWithAccuracyHeuristicOnGpu method), [1] (lincs.classification.InitializeProfilesForProbabilisticMaximalDiscriminationPowerPerCriterion method), [1] (lincs.classification.LearnMrsortByWeightsProfilesBreed method), [1] (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned method), [1] (lincs.classification.LearnUcncsByMaxSatByCoalitionsUsingEvalmaxsat method), [1] (lincs.classification.LearnUcncsByMaxSatBySeparationUsingEvalmaxsat method), [1] (lincs.classification.LearnUcncsBySatByCoalitionsUsingMinisat method), [1] (lincs.classification.LearnUcncsBySatBySeparationUsingMinisat method), [1] (lincs.classification.Model method), [1] (lincs.classification.OptimizeWeightsUsingAlglib method), [1] (lincs.classification.OptimizeWeightsUsingGlop method), [1] (lincs.classification.Performance method), [1] (lincs.classification.Performance.Enumerated method), [1] (lincs.classification.Performance.Integer method), [1] (lincs.classification.Performance.Real method), [1] (lincs.classification.PreprocessedLearningSet method), [1] (lincs.classification.Problem method), [1] (lincs.classification.ReinitializeLeastAccurate method), [1] (lincs.classification.SufficientCoalitions method), [1] (lincs.classification.SufficientCoalitions.Roots method), [1] (lincs.classification.SufficientCoalitions.Weights method), [1] (lincs.classification.TerminateAfterIterations method), [1] (lincs.classification.TerminateAfterIterationsWithoutProgress method), [1] (lincs.classification.TerminateAfterSeconds method), [1] (lincs.classification.TerminateAfterSecondsWithoutProgress method), [1] (lincs.classification.TerminateAtAccuracy method), [1] (lincs.classification.TerminateWhenAny method), [1]

__version__ (in module lincs), [1]

A

accepted_values (lincs.classification.Model property), [1] AcceptedValues (class in lincs.classification), [1] AcceptedValues.EnumeratedThresholds (class in lincs.classification), [1] AcceptedValues.IntegerIntervals (class in lincs.classification), [1] AcceptedValues.IntegerThresholds (class in lincs.classification), [1] AcceptedValues.Kind (class in lincs.classification), [1] AcceptedValues.RealIntervals (class in lincs.classification), [1] AcceptedValues.RealThresholds (class in lincs.classification), [1] accuracies (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1] after_iteration() (lincs.classification.LearnMrsortByWeightsProfilesBreed.Observer method), [1]

Alternative (class in lincs.classification), [1] ALTERNATIVES lincs-classify command line option Alternatives (class in lincs.classification), [1] alternatives (lincs.classification.Alternatives property), [1] ALTERNATIVES_COUNT lincs-generate-classified-alternatives command line option alternatives_count (lincs.classification.PreprocessedLearningSet property), [1] antitone (lincs.classification.Criterion.PreferenceDirection property), [1] assignments (lincs.classification.PreprocessedLearningSet property), [1]

B

BalancedAlternativesGenerationException, [1] before_return() (lincs.classification.LearnMrsortByWeightsProfilesBreed.Observer method), [1]

boundaries_count (lincs.classification.PreprocessedLearningSet property), [1] breed() (lincs.classification.LearnMrsortByWeightsProfilesBreed.BreedingStrategy method), [1] (lincs.classification.ReinitializeLeastAccurate method), [1]

C

CATEGORIES_COUNT lincs-generate-classification-problem command line option categories_count (lincs.classification.PreprocessedLearningSet property), [1] Category (class in lincs.classification), [1] category_index (lincs.classification.Alternative property), [1] changed (lincs.classification.ClassificationResult property), [1] check_consistency_with() (lincs.classification.Alternatives method), [1] (lincs.classification.Model method), [1] ClassificationResult (class in lincs.classification), [1] classify_alternatives() (in module lincs.classification), [1]

criteria (lincs.classification.Problem property), [1] CRITERIA_COUNT lincs-generate-classification-problem command line option criteria_count (lincs.classification.PreprocessedLearningSet property), [1] Criterion (class in lincs.classification), [1] Criterion.EnumeratedValues (class in lincs.classification), [1] Criterion.IntegerValues (class in lincs.classification), [1] Criterion.PreferenceDirection (class in lincs.classification), [1] Criterion.RealValues (class in lincs.classification), [1] Criterion.ValueType (class in lincs.classification), [1] criterion_weights (lincs.classification.SufficientCoalitions.Weights property), [1]

D

DataValidationException, [1] decreasing (lincs.classification.Criterion.PreferenceDirection property), [1] describe_model() (in module lincs.classification), [1]

describe_problem() (in module lincs.classification), [1] dump() (lincs.classification.Alternatives method), [1] (lincs.classification.Model method), [1] (lincs.classification.Problem method), [1]

E

enumerated (lincs.classification.Criterion.ValueType property), [1] (lincs.classification.Performance property), [1]

enumerated_thresholds (lincs.classification.AcceptedValues property), [1] enumerated_values (lincs.classification.Criterion property), [1]

G

generate_alternatives() (in module lincs.classification), [1] generate_mrsort_model() (in module lincs.classification), [1] generate_problem() (in module lincs.classification), [1]

get_best_accuracy() (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned method), [1] get_best_model() (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned method), [1] get_model() (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned method), [1] get_value_rank() (lincs.classification.Criterion.EnumeratedValues method), [1]

H

has_gpu (in module lincs), [1]

high_profile_rank_indexes (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1] high_profile_ranks (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1]

I

improve_profiles() (lincs.classification.ImproveProfilesWithAccuracyHeuristicOnCpu method), [1] (lincs.classification.ImproveProfilesWithAccuracyHeuristicOnGpu method), [1] (lincs.classification.LearnMrsortByWeightsProfilesBreed.ProfilesImprovementStrategy method), [1] ImproveProfilesWithAccuracyHeuristicOnCpu (class in lincs.classification), [1] ImproveProfilesWithAccuracyHeuristicOnGpu (class in lincs.classification), [1] increasing (lincs.classification.Criterion.PreferenceDirection property), [1] initialize_profiles() (lincs.classification.InitializeProfilesForProbabilisticMaximalDiscriminationPowerPerCriterion method), [1] (lincs.classification.LearnMrsortByWeightsProfilesBreed.ProfilesInitializationStrategy method), [1] InitializeProfilesForProbabilisticMaximalDiscriminationPowerPerCriterion (class in lincs.classification), [1] integer (lincs.classification.Criterion.ValueType property), [1] (lincs.classification.Performance property), [1] integer_intervals (lincs.classification.AcceptedValues property), [1] integer_thresholds (lincs.classification.AcceptedValues property), [1] integer_values (lincs.classification.Criterion property), [1] intervals (lincs.classification.AcceptedValues.IntegerIntervals property), [1] (lincs.classification.AcceptedValues.Kind property), [1] (lincs.classification.AcceptedValues.RealIntervals property), [1] is_decreasing (lincs.classification.Criterion.IntegerValues property), [1] (lincs.classification.Criterion.RealValues property), [1]

is_enumerated (lincs.classification.AcceptedValues property), [1] (lincs.classification.Criterion property), [1] (lincs.classification.Performance property), [1] is_increasing (lincs.classification.Criterion.IntegerValues property), [1] (lincs.classification.Criterion.RealValues property), [1] is_integer (lincs.classification.AcceptedValues property), [1] (lincs.classification.Criterion property), [1] (lincs.classification.Performance property), [1] is_intervals (lincs.classification.AcceptedValues property), [1] is_real (lincs.classification.AcceptedValues property), [1] (lincs.classification.Criterion property), [1] (lincs.classification.Performance property), [1] is_roots (lincs.classification.SufficientCoalitions property), [1] is_single_peaked (lincs.classification.Criterion.IntegerValues property), [1] (lincs.classification.Criterion.RealValues property), [1] is_thresholds (lincs.classification.AcceptedValues property), [1] is_weights (lincs.classification.SufficientCoalitions property), [1] isotone (lincs.classification.Criterion.PreferenceDirection property), [1] iteration_index (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1]

K

kind (lincs.classification.AcceptedValues property), [1] (lincs.classification.SufficientCoalitions property), [1]

L

LEARNING_SET lincs-learn-classification-model command line option LearningFailureException, [1] LearnMrsortByWeightsProfilesBreed (class in lincs.classification), [1] LearnMrsortByWeightsProfilesBreed.BreedingStrategy (class in lincs.classification), [1] LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned (class in lincs.classification), [1] LearnMrsortByWeightsProfilesBreed.Observer (class in lincs.classification), [1] LearnMrsortByWeightsProfilesBreed.ProfilesImprovementStrategy (class in lincs.classification), [1] LearnMrsortByWeightsProfilesBreed.ProfilesInitializationStrategy (class in lincs.classification), [1] LearnMrsortByWeightsProfilesBreed.TerminationStrategy (class in lincs.classification), [1] LearnMrsortByWeightsProfilesBreed.WeightsOptimizationStrategy (class in lincs.classification), [1] LearnUcncsByMaxSatByCoalitionsUsingEvalmaxsat (class in lincs.classification), [1] LearnUcncsByMaxSatBySeparationUsingEvalmaxsat (class in lincs.classification), [1] LearnUcncsBySatByCoalitionsUsingMinisat (class in lincs.classification), [1] LearnUcncsBySatBySeparationUsingMinisat (class in lincs.classification), [1] LEVEL ./publish.sh-first-pre command line option ./publish.sh-quick command line option lincs module, [1] lincs command line option --version lincs-classification-accuracy command line option MODEL PROBLEM TESTING_SET lincs-classify command line option --output-alternatives ALTERNATIVES MODEL PROBLEM lincs-describe-classification-model command line option --output-description MODEL PROBLEM lincs-describe-classification-problem command line option --output-description PROBLEM lincs-generate-classification-model command line option --model-type --mrsort.fixed-weights-sum --output-model --random-seed PROBLEM lincs-generate-classification-problem command line option --allow-decreasing-criteria --allow-enumerated-criteria --allow-integer-criteria --allow-single-peaked-criteria --denormalized-min-max --forbid-increasing-criteria --forbid-real-criteria --output-problem --random-seed CATEGORIES_COUNT CRITERIA_COUNT

lincs-generate-classified-alternatives command line option --max-imbalance --misclassified-count --output-alternatives --random-seed ALTERNATIVES_COUNT MODEL PROBLEM lincs-info-has-gpu command line option --quiet lincs-learn-classification-model command line option --model-type --mrsort.strategy --mrsort.weights-profiles-breed.accuracy-heuristic.processor --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed --mrsort.weights-profiles-breed.breed-strategy --mrsort.weights-profiles-breed.initialization-strategy --mrsort.weights-profiles-breed.linear-program.solver --mrsort.weights-profiles-breed.max-duration --mrsort.weights-profiles-breed.max-duration-without-progress --mrsort.weights-profiles-breed.max-iterations --mrsort.weights-profiles-breed.max-iterations-without-progress --mrsort.weights-profiles-breed.models-count --mrsort.weights-profiles-breed.output-metadata --mrsort.weights-profiles-breed.profiles-strategy --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion --mrsort.weights-profiles-breed.target-accuracy --mrsort.weights-profiles-breed.verbose --mrsort.weights-profiles-breed.weights-strategy --output-model --ucncs.max-sat-by-coalitions.eval-max-sat.coef-minimize-time --ucncs.max-sat-by-coalitions.eval-max-sat.nb-minimize-threads --ucncs.max-sat-by-coalitions.eval-max-sat.timeout-fast-minimize --ucncs.max-sat-by-coalitions.solver --ucncs.max-sat-by-separation.eval-max-sat.coef-minimize-time --ucncs.max-sat-by-separation.eval-max-sat.nb-minimize-threads --ucncs.max-sat-by-separation.eval-max-sat.timeout-fast-minimize --ucncs.max-sat-by-separation.solver --ucncs.strategy LEARNING_SET PROBLEM lincs-visualize-classification-model command line option --alternatives --alternatives-count MODEL OUTPUT PROBLEM lincs.classification module, [1] load() (lincs.classification.Alternatives static method), [1] (lincs.classification.Model static method), [1] (lincs.classification.Problem static method), [1] low_profile_ranks (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1]

M

max_value (lincs.classification.Criterion.IntegerValues property), [1] (lincs.classification.Criterion.RealValues property), [1] min_value (lincs.classification.Criterion.IntegerValues property), [1] (lincs.classification.Criterion.RealValues property), [1] misclassify_alternatives() (in module lincs.classification), [1] MODEL lincs-classification-accuracy command line option lincs-classify command line option lincs-describe-classification-model command line option lincs-generate-classified-alternatives command line option lincs-visualize-classification-model command line option

Model (class in lincs.classification), [1] Model.JSON_SCHEMA (in module lincs.classification), [1] model_indexes (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1] models_count (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1] module lincs, [1] lincs.classification, [1]

N

name (lincs.classification.Alternative property), [1] (lincs.classification.Category property), [1] (lincs.classification.Criterion property), [1]

O

optimize_weights() (lincs.classification.LearnMrsortByWeightsProfilesBreed.WeightsOptimizationStrategy method), [1] (lincs.classification.OptimizeWeightsUsingAlglib method), [1] (lincs.classification.OptimizeWeightsUsingGlop method), [1] OptimizeWeightsUsingAlglib (class in lincs.classification), [1]

OptimizeWeightsUsingGlop (class in lincs.classification), [1] ordered_categories (lincs.classification.Problem property), [1] ordered_values (lincs.classification.Criterion.EnumeratedValues property), [1] OUTPUT lincs-visualize-classification-model command line option

P

perform() (lincs.classification.LearnMrsortByWeightsProfilesBreed method), [1] (lincs.classification.LearnUcncsByMaxSatByCoalitionsUsingEvalmaxsat method), [1] (lincs.classification.LearnUcncsByMaxSatBySeparationUsingEvalmaxsat method), [1] (lincs.classification.LearnUcncsBySatByCoalitionsUsingMinisat method), [1] (lincs.classification.LearnUcncsBySatBySeparationUsingMinisat method), [1] Performance (class in lincs.classification), [1] Performance.Enumerated (class in lincs.classification), [1] Performance.Integer (class in lincs.classification), [1] Performance.Real (class in lincs.classification), [1] performance_ranks (lincs.classification.PreprocessedLearningSet property), [1] PRE ./publish.sh-first-pre command line option preference_direction (lincs.classification.Criterion.IntegerValues property), [1] (lincs.classification.Criterion.RealValues property), [1]

PreprocessedLearningSet (class in lincs.classification), [1] PROBLEM lincs-classification-accuracy command line option lincs-classify command line option lincs-describe-classification-model command line option lincs-describe-classification-problem command line option lincs-generate-classification-model command line option lincs-generate-classified-alternatives command line option lincs-learn-classification-model command line option lincs-visualize-classification-model command line option Problem (class in lincs.classification), [1] Problem.JSON_SCHEMA (in module lincs.classification), [1] profile (lincs.classification.Alternative property), [1]

R

random_generators (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1] real (lincs.classification.Criterion.ValueType property), [1] (lincs.classification.Performance property), [1] real_intervals (lincs.classification.AcceptedValues property), [1] real_thresholds (lincs.classification.AcceptedValues property), [1]

real_values (lincs.classification.Criterion property), [1] recompute_accuracy() (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned method), [1] ReinitializeLeastAccurate (class in lincs.classification), [1] roots (lincs.classification.SufficientCoalitions property), [1] (lincs.classification.SufficientCoalitions.Kind property), [1]

S

single_peaked (lincs.classification.Criterion.PreferenceDirection property), [1] (lincs.classification.PreprocessedLearningSet property), [1] sufficient_coalitions (lincs.classification.Model property), [1]

SufficientCoalitions (class in lincs.classification), [1] SufficientCoalitions.Kind (class in lincs.classification), [1] SufficientCoalitions.Roots (class in lincs.classification), [1] SufficientCoalitions.Weights (class in lincs.classification), [1]

T

terminate() (lincs.classification.LearnMrsortByWeightsProfilesBreed.TerminationStrategy method), [1] (lincs.classification.TerminateAfterIterations method), [1] (lincs.classification.TerminateAfterIterationsWithoutProgress method), [1] (lincs.classification.TerminateAfterSeconds method), [1] (lincs.classification.TerminateAfterSecondsWithoutProgress method), [1] (lincs.classification.TerminateAtAccuracy method), [1] (lincs.classification.TerminateWhenAny method), [1] TerminateAfterIterations (class in lincs.classification), [1] TerminateAfterIterationsWithoutProgress (class in lincs.classification), [1]

TerminateAfterSeconds (class in lincs.classification), [1] TerminateAfterSecondsWithoutProgress (class in lincs.classification), [1] TerminateAtAccuracy (class in lincs.classification), [1] TerminateWhenAny (class in lincs.classification), [1] TESTING_SET lincs-classification-accuracy command line option thresholds (lincs.classification.AcceptedValues.EnumeratedThresholds property), [1] (lincs.classification.AcceptedValues.IntegerThresholds property), [1] (lincs.classification.AcceptedValues.Kind property), [1] (lincs.classification.AcceptedValues.RealThresholds property), [1]

U

unchanged (lincs.classification.ClassificationResult property), [1]

UniformRandomBitsGenerator (class in lincs), [1] upset_roots (lincs.classification.SufficientCoalitions.Roots property), [1]

V

value (lincs.classification.Performance.Enumerated property), [1] (lincs.classification.Performance.Integer property), [1] (lincs.classification.Performance.Real property), [1] value_type (lincs.classification.AcceptedValues property), [1] (lincs.classification.Criterion property), [1] (lincs.classification.Performance property), [1]

values_counts (lincs.classification.PreprocessedLearningSet property), [1] visualize_model() (in module lincs.classification), [1]

W

weights (lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned property), [1] (lincs.classification.SufficientCoalitions property), [1] (lincs.classification.SufficientCoalitions.Kind property), [1]