Index (ml-algo 2.7.0-alpha01 API)

A B C D E F G H I L M N O P R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

accept(Batch) - Method in class org.neo4j.gds.ml.nodeClassification.NodeClassificationPredictConsumer
Accuracy - Class in org.neo4j.gds.ml.metrics.classification
Accuracy(long, int) - Constructor for class org.neo4j.gds.ml.metrics.classification.Accuracy
add(double, boolean) - Method in class org.neo4j.gds.ml.metrics.SignedProbabilities
addCandidateStats(ModelCandidateStats) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
addOuterTrainScore(Metric, double) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
addPredictionsForTree(DecisionTreePredictor<Integer>, int, Features, ReadOnlyHugeLongArray, BitSet, HugeAtomicLongArray) - Static method in class org.neo4j.gds.ml.metrics.classification.OutOfBagError
addTestScore(Metric, double) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
allClassMetrics() - Static method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification.Parser
allTrainingExamples() - Method in interface org.neo4j.gds.ml.nodePropertyPrediction.NodeSplitter.NodeSplits
AUCPR - Enum constant in enum class org.neo4j.gds.ml.metrics.LinkMetric
avg() - Method in interface org.neo4j.gds.ml.metrics.EvaluationScores

B

BaseModelData - Interface in org.neo4j.gds.ml.models
batchFeatureMatrix(Batch, Features) - Static method in interface org.neo4j.gds.ml.gradientdescent.Objective
batchSize() - Method in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
bestCandidate() - Method in class org.neo4j.gds.ml.training.TrainingStatistics
bestParameters() - Method in class org.neo4j.gds.ml.training.TrainingStatistics
bias() - Method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionData
bias() - Method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
biases() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
build() - Method in class org.neo4j.gds.ml.metrics.ModelStatsBuilder
build(Metric) - Method in class org.neo4j.gds.ml.metrics.ModelStatsBuilder
builder() - Static method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
builder() - Static method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
builder() - Static method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierData

C

ClassAwareTrainerConfig - Interface in org.neo4j.gds.ml.models
ClassificationMetric - Interface in org.neo4j.gds.ml.metrics.classification
ClassificationMetricComputer - Class in org.neo4j.gds.ml.nodeClassification
ClassificationMetricSpecification - Class in org.neo4j.gds.ml.metrics.classification
ClassificationMetricSpecification.Parser - Class in org.neo4j.gds.ml.metrics.classification
Classifier - Interface in org.neo4j.gds.ml.models
Classifier.ClassifierData - Interface in org.neo4j.gds.ml.models
ClassifierFactory - Class in org.neo4j.gds.ml.models
ClassifierImpurityCriterionType - Enum Class in org.neo4j.gds.ml.decisiontree
ClassifierTrainer - Interface in org.neo4j.gds.ml.models
ClassifierTrainerFactory - Class in org.neo4j.gds.ml.models
classWeights() - Method in interface org.neo4j.gds.ml.models.ClassAwareTrainerConfig
combinedImpurity(ImpurityCriterion.ImpurityData, ImpurityCriterion.ImpurityData) - Method in interface org.neo4j.gds.ml.decisiontree.ImpurityCriterion
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.Accuracy
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.F1Macro
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.F1Score
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.F1Weighted
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.OutOfBagError
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.Precision
comparator() - Method in class org.neo4j.gds.ml.metrics.classification.Recall
comparator() - Method in interface org.neo4j.gds.ml.metrics.Metric
compute() - Method in class org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict
compute() - Method in class org.neo4j.gds.ml.nodePropertyPrediction.regression.NodeRegressionPredict
compute() - Method in class org.neo4j.gds.ml.splitting.SplitRelationships
compute(HugeDoubleArray, HugeDoubleArray) - Method in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics
compute(HugeIntArray, HugeIntArray) - Method in class org.neo4j.gds.ml.metrics.classification.Accuracy
compute(HugeIntArray, HugeIntArray) - Method in interface org.neo4j.gds.ml.metrics.classification.ClassificationMetric
compute(HugeIntArray, HugeIntArray) - Method in class org.neo4j.gds.ml.metrics.classification.F1Macro
compute(HugeIntArray, HugeIntArray) - Method in class org.neo4j.gds.ml.metrics.classification.F1Score
compute(HugeIntArray, HugeIntArray) - Method in class org.neo4j.gds.ml.metrics.classification.F1Weighted
compute(HugeIntArray, HugeIntArray) - Method in class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
compute(HugeIntArray, HugeIntArray) - Method in class org.neo4j.gds.ml.metrics.classification.Precision
compute(HugeIntArray, HugeIntArray) - Method in class org.neo4j.gds.ml.metrics.classification.Recall
compute(SignedProbabilities, double) - Method in enum class org.neo4j.gds.ml.metrics.LinkMetric
computeFromLabeledData(Features, HugeIntArray, Classifier, BatchQueue, int, TerminationFlag, ProgressTracker) - Static method in class org.neo4j.gds.ml.metrics.SignedProbabilities
ConcreteParameter<T> - Interface in org.neo4j.gds.ml.models.automl.hyperparameter
configKeys() - Method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionTrainConfig
configKeys() - Method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainConfig
configKeys() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierTrainConfig
configKeys() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainerConfig
configKeys() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainerConfig
consume(Metric, double) - Method in interface org.neo4j.gds.ml.metrics.MetricConsumer
converged() - Method in interface org.neo4j.gds.ml.gradientdescent.TrainingStopper
copyTo(ImpurityCriterion.ImpurityData) - Method in interface org.neo4j.gds.ml.decisiontree.ImpurityCriterion.ImpurityData: Copies all significant data to `impurityData`.
create(int, int, List<Integer>, SplittableRandom) - Static method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
create(Classifier.ClassifierData) - Static method in class org.neo4j.gds.ml.models.ClassifierFactory
create(TrainerConfig, int, TerminationFlag, ProgressTracker, LogLevel, int, Optional<Long>, boolean, ModelSpecificMetricsHandler) - Static method in class org.neo4j.gds.ml.models.ClassifierTrainerFactory
create(TrainerConfig, TerminationFlag, ProgressTracker, LogLevel, int, Optional<Long>) - Static method in class org.neo4j.gds.ml.models.RegressionTrainerFactory
createMetrics(LocalIdMap, LongMultiSet) - Method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification
criterion() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainerConfig
CrossValidation<MODEL_TYPE> - Class in org.neo4j.gds.ml.training
CrossValidation(ProgressTracker, TerminationFlag, List<? extends Metric>, int, Optional<Long>, CrossValidation.ModelTrainer<MODEL_TYPE>, CrossValidation.ModelEvaluator<MODEL_TYPE>) - Constructor for class org.neo4j.gds.ml.training.CrossValidation
CrossValidation.ModelEvaluator<MODEL_TYPE> - Interface in org.neo4j.gds.ml.training
CrossValidation.ModelTrainer<MODEL_TYPE> - Interface in org.neo4j.gds.ml.training

D

data() - Method in interface org.neo4j.gds.ml.models.Classifier
data() - Method in class org.neo4j.gds.ml.models.linearregression.LinearRegressor
data() - Method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionClassifier
data() - Method in class org.neo4j.gds.ml.models.mlp.MLPClassifier
data() - Method in class org.neo4j.gds.ml.models.randomforest.RandomForestClassifier
data() - Method in class org.neo4j.gds.ml.models.randomforest.RandomForestRegressor
data() - Method in interface org.neo4j.gds.ml.models.Regressor
dataMemoryEstimation(TrainerConfig, LongUnaryOperator, int, int, boolean) - Static method in class org.neo4j.gds.ml.models.ClassifierFactory
DecisionTreeClassifierTrainer - Class in org.neo4j.gds.ml.decisiontree
DecisionTreeClassifierTrainer(ImpurityCriterion, Features, HugeIntArray, int, DecisionTreeTrainerConfig, FeatureBagger) - Constructor for class org.neo4j.gds.ml.decisiontree.DecisionTreeClassifierTrainer
DecisionTreePredictor<PREDICTION extends Number> - Class in org.neo4j.gds.ml.decisiontree
DecisionTreePredictor(TreeNode<PREDICTION>) - Constructor for class org.neo4j.gds.ml.decisiontree.DecisionTreePredictor
DecisionTreeRegressorTrainer - Class in org.neo4j.gds.ml.decisiontree
DecisionTreeRegressorTrainer(ImpurityCriterion, Features, HugeDoubleArray, DecisionTreeTrainerConfig, FeatureBagger) - Constructor for class org.neo4j.gds.ml.decisiontree.DecisionTreeRegressorTrainer
decisionTrees() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierData
decisionTrees() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorData
DecisionTreeTrainer<PREDICTION extends Number> - Class in org.neo4j.gds.ml.decisiontree
DecisionTreeTrainerConfig - Interface in org.neo4j.gds.ml.decisiontree
decrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in class org.neo4j.gds.ml.decisiontree.Entropy
decrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in class org.neo4j.gds.ml.decisiontree.GiniIndex
decrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in interface org.neo4j.gds.ml.decisiontree.ImpurityCriterion
decrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in class org.neo4j.gds.ml.decisiontree.SplitMeanSquaredError
DEFAULT - Static variable in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionTrainConfig
DEFAULT - Static variable in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainConfig
DEFAULT - Static variable in interface org.neo4j.gds.ml.models.mlp.MLPClassifierTrainConfig
DEFAULT - Static variable in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainerConfig
DEFAULT - Static variable in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainerConfig
DEFAULT_BATCH_SIZE - Static variable in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
defaultStopper(GradientDescentConfig) - Static method in interface org.neo4j.gds.ml.gradientdescent.TrainingStopper
depth() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
DirectedEdgeSplitter - Class in org.neo4j.gds.ml.splitting
DirectedEdgeSplitter(Optional<Long>, IdMap, IdMap, IdMap, RelationshipType, RelationshipType, int) - Constructor for class org.neo4j.gds.ml.splitting.DirectedEdgeSplitter
DoubleParameter - Interface in org.neo4j.gds.ml.models.automl.hyperparameter
DoubleRangeParameter - Interface in org.neo4j.gds.ml.models.automl.hyperparameter
doubleRanges - Variable in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig

E

EdgeSplitter - Class in org.neo4j.gds.ml.splitting
EdgeSplitter.SplitResult - Interface in org.neo4j.gds.ml.splitting
Entropy - Class in org.neo4j.gds.ml.decisiontree
Entropy(HugeIntArray, int) - Constructor for class org.neo4j.gds.ml.decisiontree.Entropy
ENTROPY - Enum constant in enum class org.neo4j.gds.ml.decisiontree.ClassifierImpurityCriterionType
EPSILON - Static variable in interface org.neo4j.gds.ml.metrics.classification.ClassificationMetric
equals(Object) - Method in class org.neo4j.gds.ml.decisiontree.DecisionTreePredictor
equals(Object) - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.Accuracy
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.F1Macro
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.F1Score
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.F1Weighted
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.Precision
equals(Object) - Method in class org.neo4j.gds.ml.metrics.classification.Recall
equals(Object) - Method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
estimate(double) - Static method in class org.neo4j.gds.ml.splitting.FractionSplitter
estimate(SplitRelationshipsBaseConfig) - Static method in class org.neo4j.gds.ml.splitting.SplitRelationships
estimateEvaluation(TrainerConfig, int, LongUnaryOperator, LongUnaryOperator, int, int, boolean) - Static method in class org.neo4j.gds.ml.nodeClassification.ClassificationMetricComputer
estimateMemory(long) - Static method in class org.neo4j.gds.ml.metrics.SignedProbabilities
estimateTree(DecisionTreeTrainerConfig, long, long) - Static method in class org.neo4j.gds.ml.decisiontree.DecisionTreeTrainer
evaluate(ReadOnlyHugeLongArray, int, HugeIntArray, int, HugeAtomicLongArray) - Static method in class org.neo4j.gds.ml.metrics.classification.OutOfBagError
evaluate(ReadOnlyHugeLongArray, MODEL_TYPE, MetricConsumer) - Method in interface org.neo4j.gds.ml.training.CrossValidation.ModelEvaluator
evaluationMetric() - Method in class org.neo4j.gds.ml.training.TrainingStatistics
EvaluationScores - Interface in org.neo4j.gds.ml.metrics: Statistics of the metric of the model candidate over (inner) folds
ExhaustiveLinkPredictionResult - Class in org.neo4j.gds.ml.linkmodels
ExhaustiveLinkPredictionResult(BoundedLongLongPriorityQueue, long) - Constructor for class org.neo4j.gds.ml.linkmodels.ExhaustiveLinkPredictionResult
extractEagerFeatures(Graph, List<String>) - Static method in class org.neo4j.gds.ml.models.FeaturesFactory
extractLazyFeatures(Graph, List<String>) - Static method in class org.neo4j.gds.ml.models.FeaturesFactory

F

F1Macro - Class in org.neo4j.gds.ml.metrics.classification
F1Macro(LocalIdMap) - Constructor for class org.neo4j.gds.ml.metrics.classification.F1Macro
F1Score - Class in org.neo4j.gds.ml.metrics.classification
F1Score(long, int) - Constructor for class org.neo4j.gds.ml.metrics.classification.F1Score
F1Weighted - Class in org.neo4j.gds.ml.metrics.classification
F1Weighted(LocalIdMap, LongMultiSet) - Constructor for class org.neo4j.gds.ml.metrics.classification.F1Weighted
FeatureBagger - Class in org.neo4j.gds.ml.decisiontree
FeatureBagger(SplittableRandom, int, double) - Constructor for class org.neo4j.gds.ml.decisiontree.FeatureBagger
featureDimension() - Method in interface org.neo4j.gds.ml.models.BaseModelData
featureDimension() - Method in interface org.neo4j.gds.ml.models.Features
featureDimension() - Method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionData
featureDimension() - Method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
featureDimension() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
featureIndex() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
Features - Interface in org.neo4j.gds.ml.models
FeaturesFactory - Class in org.neo4j.gds.ml.models
focusWeight() - Method in interface org.neo4j.gds.ml.models.ClassAwareTrainerConfig
forEach(BoundedLongLongPriorityQueue.Consumer) - Method in class org.neo4j.gds.ml.linkmodels.ExhaustiveLinkPredictionResult
forEvaluationSet(Features, HugeIntArray, ReadOnlyHugeLongArray, Classifier, int, TerminationFlag, ProgressTracker) - Static method in class org.neo4j.gds.ml.nodeClassification.ClassificationMetricComputer
FractionSplitter - Class in org.neo4j.gds.ml.splitting
FractionSplitter() - Constructor for class org.neo4j.gds.ml.splitting.FractionSplitter
from(LogisticRegressionData) - Static method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionClassifier

G

get(long) - Method in interface org.neo4j.gds.ml.models.Features
getBestTrialIdx() - Method in class org.neo4j.gds.ml.training.TrainingStatistics
getBestTrialScore() - Method in class org.neo4j.gds.ml.training.TrainingStatistics
getMainMetric(int) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
getTestScore(Metric) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
getTrainStats(Metric) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
getValidationStats(Metric) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
GINI - Enum constant in enum class org.neo4j.gds.ml.decisiontree.ClassifierImpurityCriterionType
GiniIndex - Class in org.neo4j.gds.ml.decisiontree
GiniIndex(HugeIntArray, int) - Constructor for class org.neo4j.gds.ml.decisiontree.GiniIndex
GlobalAccuracy - Class in org.neo4j.gds.ml.metrics.classification
GlobalAccuracy() - Constructor for class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
GradientDescentConfig - Interface in org.neo4j.gds.ml.gradientdescent
groupImpurity(HugeLongArray, long, long) - Method in class org.neo4j.gds.ml.decisiontree.Entropy
groupImpurity(HugeLongArray, long, long) - Method in class org.neo4j.gds.ml.decisiontree.GiniIndex
groupImpurity(HugeLongArray, long, long) - Method in interface org.neo4j.gds.ml.decisiontree.ImpurityCriterion
groupImpurity(HugeLongArray, long, long) - Method in class org.neo4j.gds.ml.decisiontree.SplitMeanSquaredError
groupSize() - Method in interface org.neo4j.gds.ml.decisiontree.ImpurityCriterion.ImpurityData

H

handle(Metric, double) - Method in class org.neo4j.gds.ml.metrics.ModelSpecificMetricsHandler
hashCode() - Method in class org.neo4j.gds.ml.decisiontree.DecisionTreePredictor
hashCode() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.Accuracy
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.F1Macro
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.F1Score
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.F1Weighted
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.Precision
hashCode() - Method in class org.neo4j.gds.ml.metrics.classification.Recall
hashCode() - Method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
hasLeftChild() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
hasNext() - Method in class org.neo4j.gds.ml.models.automl.RandomSearch
hasRightChild() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
hiddenLayerSizes() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierTrainConfig
holdoutFraction() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
holdoutRelationshipType() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
HyperParameterOptimizer - Interface in org.neo4j.gds.ml.models.automl

I

ignoringResult(List<Metric>) - Static method in class org.neo4j.gds.ml.metrics.ModelSpecificMetricsHandler
impurity() - Method in interface org.neo4j.gds.ml.decisiontree.ImpurityCriterion.ImpurityData
ImpurityCriterion - Interface in org.neo4j.gds.ml.decisiontree
ImpurityCriterion.ImpurityData - Interface in org.neo4j.gds.ml.decisiontree: A lightweight representation of a decision tree node's impurity.
incrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in class org.neo4j.gds.ml.decisiontree.Entropy
incrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in class org.neo4j.gds.ml.decisiontree.GiniIndex
incrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in interface org.neo4j.gds.ml.decisiontree.ImpurityCriterion
incrementalImpurity(long, ImpurityCriterion.ImpurityData) - Method in class org.neo4j.gds.ml.decisiontree.SplitMeanSquaredError
initializeClassWeights(int) - Method in interface org.neo4j.gds.ml.models.ClassAwareTrainerConfig
IntegerParameter - Interface in org.neo4j.gds.ml.models.automl.hyperparameter
IntegerRangeParameter - Interface in org.neo4j.gds.ml.models.automl.hyperparameter
integerRanges - Variable in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
isConcrete() - Method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
isModelSpecific() - Method in class org.neo4j.gds.ml.metrics.classification.OutOfBagError
isModelSpecific() - Method in interface org.neo4j.gds.ml.metrics.Metric
isRequested(Metric) - Method in class org.neo4j.gds.ml.metrics.ModelSpecificMetricsHandler

L

leafMemoryEstimation(Class<T>) - Static method in class org.neo4j.gds.ml.decisiontree.TreeNode
learningRate() - Method in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
leftChild() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
LinearRegressionData - Interface in org.neo4j.gds.ml.models.linearregression
LinearRegressionObjective - Class in org.neo4j.gds.ml.models.linearregression
LinearRegressionTrainConfig - Interface in org.neo4j.gds.ml.models.linearregression
LinearRegressionTrainer - Class in org.neo4j.gds.ml.models.linearregression
LinearRegressionTrainer(int, LinearRegressionTrainConfig, TerminationFlag, ProgressTracker, LogLevel) - Constructor for class org.neo4j.gds.ml.models.linearregression.LinearRegressionTrainer
LinearRegressor - Class in org.neo4j.gds.ml.models.linearregression
LinearRegressor(LinearRegressionData) - Constructor for class org.neo4j.gds.ml.models.linearregression.LinearRegressor
LinkMetric - Enum Class in org.neo4j.gds.ml.metrics
LinkPredictionResult - Interface in org.neo4j.gds.ml.linkmodels
ListParameter - Interface in org.neo4j.gds.ml.models.automl.hyperparameter
LogisticRegressionClassifier - Class in org.neo4j.gds.ml.models.logisticregression
LogisticRegressionData - Interface in org.neo4j.gds.ml.models.logisticregression
LogisticRegressionObjective - Class in org.neo4j.gds.ml.models.logisticregression
LogisticRegressionObjective(LogisticRegressionClassifier, double, Features, HugeIntArray, double, double[]) - Constructor for class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionObjective
LogisticRegressionTrainConfig - Interface in org.neo4j.gds.ml.models.logisticregression
LogisticRegressionTrainer - Class in org.neo4j.gds.ml.models.logisticregression
LogisticRegressionTrainer(int, LogisticRegressionTrainConfig, int, boolean, TerminationFlag, ProgressTracker, LogLevel) - Constructor for class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainer
logScale() - Method in interface org.neo4j.gds.ml.models.automl.hyperparameter.DoubleRangeParameter
loss(Batch, long) - Method in interface org.neo4j.gds.ml.gradientdescent.Objective
loss(Batch, long) - Method in class org.neo4j.gds.ml.models.linearregression.LinearRegressionObjective
loss(Batch, long) - Method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionObjective
loss(Batch, long) - Method in class org.neo4j.gds.ml.models.mlp.MLPClassifierObjective

M

materialize(Map<String, Object>) - Method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
max() - Method in interface org.neo4j.gds.ml.metrics.EvaluationScores
max() - Method in interface org.neo4j.gds.ml.models.automl.hyperparameter.NumericalRangeParameter
MAX_EPOCHS - Static variable in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
maxDepth() - Method in interface org.neo4j.gds.ml.decisiontree.DecisionTreeTrainerConfig
maxEpochs() - Method in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
maxFeaturesRatio() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestTrainerConfig
maxFeaturesRatio(int) - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestTrainerConfig
MEAN_ABSOLUTE_ERROR - Enum constant in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics
MEAN_SQUARED_ERROR - Enum constant in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics
memoryEstimation() - Static method in class org.neo4j.gds.ml.decisiontree.SplitMeanSquaredError
memoryEstimation(boolean, int, int, int) - Static method in class org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict
memoryEstimation(boolean, int, MemoryRange) - Static method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
memoryEstimation(boolean, int, MemoryRange, int, LongUnaryOperator) - Static method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainer
memoryEstimation(int) - Static method in class org.neo4j.gds.ml.decisiontree.FeatureBagger
memoryEstimation(int) - Static method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification
memoryEstimation(int, int) - Static method in class org.neo4j.gds.ml.gradientdescent.Training
memoryEstimation(int, ToLongFunction<GraphDimensions>) - Static method in class org.neo4j.gds.ml.splitting.StratifiedKFoldSplitter
memoryEstimation(long) - Static method in class org.neo4j.gds.ml.decisiontree.Entropy
memoryEstimation(long) - Static method in class org.neo4j.gds.ml.decisiontree.GiniIndex
memoryEstimation(LongUnaryOperator, int, MemoryRange, RandomForestClassifierTrainerConfig) - Static method in class org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainer
memoryEstimation(LongUnaryOperator, MemoryRange, RandomForestRegressorTrainerConfig) - Static method in class org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainer
memoryEstimation(LongUnaryOperator, RandomForestTrainerConfig) - Static method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierData
memoryEstimation(LongUnaryOperator, RandomForestTrainerConfig) - Static method in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorData
memoryEstimation(MemoryRange, int) - Static method in class org.neo4j.gds.ml.gradientdescent.Training
memoryEstimation(DecisionTreeTrainerConfig, long) - Static method in class org.neo4j.gds.ml.decisiontree.DecisionTreeRegressorTrainer
memoryEstimation(DecisionTreeTrainerConfig, long, int) - Static method in class org.neo4j.gds.ml.decisiontree.DecisionTreeClassifierTrainer
memoryEstimation(TrainerConfig, LongUnaryOperator, int, MemoryRange, boolean) - Static method in class org.neo4j.gds.ml.models.ClassifierTrainerFactory
memoryEstimationForNodeSet(int, double) - Static method in class org.neo4j.gds.ml.splitting.StratifiedKFoldSplitter
memoryEstimationStatsMap(int, int) - Static method in class org.neo4j.gds.ml.training.TrainingStatistics
memoryEstimationStatsMap(int, int, int) - Static method in class org.neo4j.gds.ml.training.TrainingStatistics
memoryEstimationWithDerivedBatchSize(TrainingMethod, boolean, int, int, int, boolean) - Static method in class org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict
method() - Method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionTrainConfig
method() - Method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainConfig
method() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierTrainConfig
method() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainerConfig
method() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainerConfig
method() - Method in interface org.neo4j.gds.ml.models.TrainerConfig
Metric - Interface in org.neo4j.gds.ml.metrics
MetricConsumer - Interface in org.neo4j.gds.ml.metrics
min() - Method in interface org.neo4j.gds.ml.metrics.EvaluationScores
min() - Method in interface org.neo4j.gds.ml.models.automl.hyperparameter.NumericalRangeParameter
minEpochs() - Method in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
minLeafSize() - Method in interface org.neo4j.gds.ml.decisiontree.DecisionTreeTrainerConfig
minSplitSize() - Method in interface org.neo4j.gds.ml.decisiontree.DecisionTreeTrainerConfig
MLPClassifier - Class in org.neo4j.gds.ml.models.mlp
MLPClassifier(MLPClassifierData) - Constructor for class org.neo4j.gds.ml.models.mlp.MLPClassifier
MLPClassifierData - Interface in org.neo4j.gds.ml.models.mlp
MLPClassifierObjective - Class in org.neo4j.gds.ml.models.mlp
MLPClassifierObjective(MLPClassifier, Features, HugeIntArray, double, double, double[]) - Constructor for class org.neo4j.gds.ml.models.mlp.MLPClassifierObjective
MLPClassifierTrainConfig - Interface in org.neo4j.gds.ml.models.mlp
MLPClassifierTrainer - Class in org.neo4j.gds.ml.models.mlp
MLPClassifierTrainer(int, MLPClassifierTrainConfig, Optional<Long>, ProgressTracker, LogLevel, TerminationFlag, int) - Constructor for class org.neo4j.gds.ml.models.mlp.MLPClassifierTrainer
ModelCandidateStats - Interface in org.neo4j.gds.ml.metrics
modelData() - Method in interface org.neo4j.gds.ml.gradientdescent.Objective: Returns the data, such as weights, needed to store or load the model
modelData() - Method in class org.neo4j.gds.ml.models.linearregression.LinearRegressionObjective
modelData() - Method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionObjective
modelData() - Method in class org.neo4j.gds.ml.models.mlp.MLPClassifierObjective
ModelSpecificMetricsHandler - Class in org.neo4j.gds.ml.metrics
ModelStatsBuilder - Class in org.neo4j.gds.ml.metrics
ModelStatsBuilder(int) - Constructor for class org.neo4j.gds.ml.metrics.ModelStatsBuilder

N

name() - Method in class org.neo4j.gds.ml.metrics.classification.Accuracy
name() - Method in class org.neo4j.gds.ml.metrics.classification.F1Macro
name() - Method in class org.neo4j.gds.ml.metrics.classification.F1Score
name() - Method in class org.neo4j.gds.ml.metrics.classification.F1Weighted
name() - Method in class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
name() - Method in class org.neo4j.gds.ml.metrics.classification.OutOfBagError
name() - Method in class org.neo4j.gds.ml.metrics.classification.Precision
name() - Method in class org.neo4j.gds.ml.metrics.classification.Recall
name() - Method in interface org.neo4j.gds.ml.metrics.Metric
NAME - Static variable in class org.neo4j.gds.ml.metrics.classification.Accuracy
NAME - Static variable in class org.neo4j.gds.ml.metrics.classification.F1Macro
NAME - Static variable in class org.neo4j.gds.ml.metrics.classification.F1Score
NAME - Static variable in class org.neo4j.gds.ml.metrics.classification.F1Weighted
NAME - Static variable in class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
NAME - Static variable in class org.neo4j.gds.ml.metrics.classification.Precision
NAME - Static variable in class org.neo4j.gds.ml.metrics.classification.Recall
NEGATIVE - Static variable in interface org.neo4j.gds.ml.negativeSampling.NegativeSampler
negativeCount() - Method in class org.neo4j.gds.ml.metrics.SignedProbabilities
NegativeSampler - Interface in org.neo4j.gds.ml.negativeSampling
negativeSamplingRatio() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
next() - Method in class org.neo4j.gds.ml.models.automl.RandomSearch
NodeClassificationPredict - Class in org.neo4j.gds.ml.nodeClassification
NodeClassificationPredict(Classifier, Features, int, int, boolean, ProgressTracker, TerminationFlag) - Constructor for class org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict
NodeClassificationPredict.NodeClassificationResult - Interface in org.neo4j.gds.ml.nodeClassification
NodeClassificationPredictConsumer - Class in org.neo4j.gds.ml.nodeClassification: Consumes a BatchQueue containing long indices into a nodeIds LongArrayAccessor.
nodeLabels() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
NodeRegressionPredict - Class in org.neo4j.gds.ml.nodePropertyPrediction.regression
NodeRegressionPredict(Regressor, Features, int, ProgressTracker, TerminationFlag) - Constructor for class org.neo4j.gds.ml.nodePropertyPrediction.regression.NodeRegressionPredict
NodeSplitter - Class in org.neo4j.gds.ml.nodePropertyPrediction
NodeSplitter(int, long, ProgressTracker, LongUnaryOperator, LongUnaryOperator) - Constructor for class org.neo4j.gds.ml.nodePropertyPrediction.NodeSplitter
NodeSplitter.NodeSplits - Interface in org.neo4j.gds.ml.nodePropertyPrediction
nonNegativeRelationshipTypes() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
NOOP - Static variable in class org.neo4j.gds.ml.metrics.ModelSpecificMetricsHandler
numberOfClasses() - Method in interface org.neo4j.gds.ml.models.Classifier.ClassifierData
numberOfClasses() - Method in interface org.neo4j.gds.ml.models.Classifier
numberOfClasses() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
numberOfDecisionTrees() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestTrainerConfig
numberOfSamplesRatio() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestTrainerConfig
NumericalRangeParameter<T extends Number> - Interface in org.neo4j.gds.ml.models.automl.hyperparameter

O

Objective<DATA> - Interface in org.neo4j.gds.ml.gradientdescent: A training objective that computes a loss over a batch of nodes
of(double) - Static method in interface org.neo4j.gds.ml.models.automl.hyperparameter.DoubleParameter
of(double, double) - Static method in interface org.neo4j.gds.ml.models.automl.hyperparameter.DoubleRangeParameter
of(double, double, boolean) - Static method in interface org.neo4j.gds.ml.models.automl.hyperparameter.DoubleRangeParameter
of(double, double, double) - Static method in interface org.neo4j.gds.ml.metrics.EvaluationScores
of(int) - Static method in interface org.neo4j.gds.ml.models.automl.hyperparameter.IntegerParameter
of(int) - Static method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionData
of(int, int) - Static method in interface org.neo4j.gds.ml.models.automl.hyperparameter.IntegerRangeParameter
of(long, long, double) - Static method in interface org.neo4j.gds.ml.linkmodels.PredictedLink
of(String) - Static method in interface org.neo4j.gds.ml.models.automl.hyperparameter.StringParameter
of(List) - Static method in interface org.neo4j.gds.ml.models.automl.hyperparameter.ListParameter
of(List<? extends Metric>, BiConsumer<Metric, Double>) - Static method in class org.neo4j.gds.ml.metrics.ModelSpecificMetricsHandler
of(List<? extends Metric>, ModelStatsBuilder) - Static method in class org.neo4j.gds.ml.metrics.ModelSpecificMetricsHandler
of(Map<String, Object>) - Static method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionTrainConfig
of(Map<String, Object>) - Static method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainConfig
of(Map<String, Object>) - Static method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierTrainConfig
of(Map<String, Object>) - Static method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainerConfig
of(Map<String, Object>) - Static method in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainerConfig
of(Map<String, Object>, TrainingMethod) - Static method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
of(GraphStore, Graph, Collection<NodeLabel>, Optional<String>, double, long, long, IdMap, IdMap, Collection<NodeLabel>, Collection<NodeLabel>, Optional<Long>) - Static method in interface org.neo4j.gds.ml.negativeSampling.NegativeSampler
of(GraphStore, SplitRelationshipsBaseConfig) - Static method in class org.neo4j.gds.ml.splitting.SplitRelationships
of(HugeIntArray, HugeObjectArray<double[]>) - Static method in interface org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict.NodeClassificationResult
of(CypherMapWrapper) - Static method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsMutateConfig
of(RelationshipsBuilder, long, RelationshipsBuilder, long) - Static method in interface org.neo4j.gds.ml.splitting.EdgeSplitter.SplitResult
of(ReadOnlyHugeLongArray, ReadOnlyHugeLongArray) - Static method in interface org.neo4j.gds.ml.splitting.TrainingExamplesSplit
of(TrainerConfig, Map<Metric, EvaluationScores>, Map<Metric, EvaluationScores>) - Static method in interface org.neo4j.gds.ml.metrics.ModelCandidateStats
org.neo4j.gds.ml.decisiontree - package org.neo4j.gds.ml.decisiontree
org.neo4j.gds.ml.gradientdescent - package org.neo4j.gds.ml.gradientdescent
org.neo4j.gds.ml.linkmodels - package org.neo4j.gds.ml.linkmodels
org.neo4j.gds.ml.metrics - package org.neo4j.gds.ml.metrics
org.neo4j.gds.ml.metrics.classification - package org.neo4j.gds.ml.metrics.classification
org.neo4j.gds.ml.metrics.regression - package org.neo4j.gds.ml.metrics.regression
org.neo4j.gds.ml.models - package org.neo4j.gds.ml.models
org.neo4j.gds.ml.models.automl - package org.neo4j.gds.ml.models.automl
org.neo4j.gds.ml.models.automl.hyperparameter - package org.neo4j.gds.ml.models.automl.hyperparameter
org.neo4j.gds.ml.models.linearregression - package org.neo4j.gds.ml.models.linearregression
org.neo4j.gds.ml.models.logisticregression - package org.neo4j.gds.ml.models.logisticregression
org.neo4j.gds.ml.models.mlp - package org.neo4j.gds.ml.models.mlp
org.neo4j.gds.ml.models.randomforest - package org.neo4j.gds.ml.models.randomforest
org.neo4j.gds.ml.negativeSampling - package org.neo4j.gds.ml.negativeSampling
org.neo4j.gds.ml.nodeClassification - package org.neo4j.gds.ml.nodeClassification
org.neo4j.gds.ml.nodePropertyPrediction - package org.neo4j.gds.ml.nodePropertyPrediction
org.neo4j.gds.ml.nodePropertyPrediction.regression - package org.neo4j.gds.ml.nodePropertyPrediction.regression
org.neo4j.gds.ml.splitting - package org.neo4j.gds.ml.splitting
org.neo4j.gds.ml.training - package org.neo4j.gds.ml.training
org.neo4j.gds.ml.util - package org.neo4j.gds.ml.util
OUT_OF_BAG_ERROR - Static variable in class org.neo4j.gds.ml.metrics.classification.OutOfBagError
outerSplit() - Method in interface org.neo4j.gds.ml.nodePropertyPrediction.NodeSplitter.NodeSplits
OutOfBagError - Class in org.neo4j.gds.ml.metrics.classification

P

ParallelNodeClassifier - Class in org.neo4j.gds.ml.nodeClassification
parse(Object) - Static method in enum class org.neo4j.gds.ml.decisiontree.ClassifierImpurityCriterionType
parse(Object) - Static method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification.Parser
parse(Object) - Static method in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics
parse(List<?>) - Static method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification.Parser
parseLinkMetric(Object) - Static method in enum class org.neo4j.gds.ml.metrics.LinkMetric
parseList(List<?>) - Static method in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics
patience() - Method in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
penalty() - Method in interface org.neo4j.gds.ml.models.PenaltyConfig
PenaltyConfig - Interface in org.neo4j.gds.ml.models
POSITIVE - Static variable in class org.neo4j.gds.ml.splitting.EdgeSplitter
positiveCount() - Method in class org.neo4j.gds.ml.metrics.SignedProbabilities
positiveSampling(Graph, RelationshipsBuilder, RelationshipWithPropertyConsumer, MutableLong, MutableLong, long, LongLongPredicate, MutableLong, MutableLong) - Method in class org.neo4j.gds.ml.splitting.DirectedEdgeSplitter
positiveSampling(Graph, RelationshipsBuilder, RelationshipWithPropertyConsumer, MutableLong, MutableLong, long, LongLongPredicate, MutableLong, MutableLong) - Method in class org.neo4j.gds.ml.splitting.EdgeSplitter
positiveSampling(Graph, RelationshipsBuilder, RelationshipWithPropertyConsumer, MutableLong, MutableLong, long, LongLongPredicate, MutableLong, MutableLong) - Method in class org.neo4j.gds.ml.splitting.UndirectedEdgeSplitter
Precision - Class in org.neo4j.gds.ml.metrics.classification
Precision(long, int) - Constructor for class org.neo4j.gds.ml.metrics.classification.Precision
predict(double[]) - Method in class org.neo4j.gds.ml.decisiontree.DecisionTreePredictor
predict(double[]) - Method in class org.neo4j.gds.ml.models.linearregression.LinearRegressor
predict(double[]) - Method in class org.neo4j.gds.ml.models.randomforest.RandomForestRegressor
predict(double[]) - Method in interface org.neo4j.gds.ml.models.Regressor
predict(HugeObjectArray<double[]>) - Method in class org.neo4j.gds.ml.nodeClassification.ParallelNodeClassifier
predict(ReadOnlyHugeLongArray) - Method in class org.neo4j.gds.ml.nodeClassification.ParallelNodeClassifier
predictedClasses() - Method in interface org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict.NodeClassificationResult
PredictedLink - Interface in org.neo4j.gds.ml.linkmodels
predictedProbabilities() - Method in interface org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict.NodeClassificationResult
prediction() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
predictProbabilities(double[]) - Method in interface org.neo4j.gds.ml.models.Classifier
predictProbabilities(double[]) - Method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionClassifier
predictProbabilities(double[]) - Method in class org.neo4j.gds.ml.models.mlp.MLPClassifier
predictProbabilities(double[]) - Method in class org.neo4j.gds.ml.models.randomforest.RandomForestClassifier
predictProbabilities(Batch, Features) - Method in interface org.neo4j.gds.ml.models.Classifier
predictProbabilities(Batch, Features) - Method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionClassifier
predictProbabilities(Batch, Features) - Method in class org.neo4j.gds.ml.models.mlp.MLPClassifier
predictProbabilities(Batch, Features) - Method in class org.neo4j.gds.ml.models.randomforest.RandomForestClassifier
probability() - Method in interface org.neo4j.gds.ml.linkmodels.PredictedLink
produceNegativeSamples(RelationshipsBuilder, RelationshipsBuilder) - Method in interface org.neo4j.gds.ml.negativeSampling.NegativeSampler
produceNegativeSamples(RelationshipsBuilder, RelationshipsBuilder) - Method in class org.neo4j.gds.ml.negativeSampling.RandomNegativeSampler
produceNegativeSamples(RelationshipsBuilder, RelationshipsBuilder) - Method in class org.neo4j.gds.ml.negativeSampling.UserInputNegativeSampler
progressTask(long) - Static method in class org.neo4j.gds.ml.nodeClassification.NodeClassificationPredict
progressTask(long) - Static method in class org.neo4j.gds.ml.nodePropertyPrediction.regression.NodeRegressionPredict
progressTask(String) - Static method in interface org.neo4j.gds.ml.models.ClassifierTrainer
progressTask(String) - Static method in interface org.neo4j.gds.ml.models.RegressorTrainer
progressTask(String, long) - Static method in interface org.neo4j.gds.ml.models.ClassifierTrainer
progressTasks(int, int, long) - Static method in class org.neo4j.gds.ml.training.CrossValidation

R

RandomForestClassifier - Class in org.neo4j.gds.ml.models.randomforest
RandomForestClassifier(List<DecisionTreePredictor<Integer>>, int, int) - Constructor for class org.neo4j.gds.ml.models.randomforest.RandomForestClassifier
RandomForestClassifier(RandomForestClassifierData) - Constructor for class org.neo4j.gds.ml.models.randomforest.RandomForestClassifier
RandomForestClassifierData - Interface in org.neo4j.gds.ml.models.randomforest
RandomForestClassifierTrainer - Class in org.neo4j.gds.ml.models.randomforest
RandomForestClassifierTrainer(int, int, RandomForestClassifierTrainerConfig, Optional<Long>, ProgressTracker, LogLevel, TerminationFlag, ModelSpecificMetricsHandler) - Constructor for class org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainer
RandomForestClassifierTrainerConfig - Interface in org.neo4j.gds.ml.models.randomforest
RandomForestRegressor - Class in org.neo4j.gds.ml.models.randomforest
RandomForestRegressor(List<DecisionTreePredictor<Double>>, int) - Constructor for class org.neo4j.gds.ml.models.randomforest.RandomForestRegressor
RandomForestRegressor(RandomForestRegressorData) - Constructor for class org.neo4j.gds.ml.models.randomforest.RandomForestRegressor
RandomForestRegressorData - Interface in org.neo4j.gds.ml.models.randomforest
RandomForestRegressorTrainer - Class in org.neo4j.gds.ml.models.randomforest
RandomForestRegressorTrainer(int, RandomForestRegressorTrainerConfig, Optional<Long>, TerminationFlag, ProgressTracker, LogLevel) - Constructor for class org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainer
RandomForestRegressorTrainerConfig - Interface in org.neo4j.gds.ml.models.randomforest
RandomForestTrainerConfig - Interface in org.neo4j.gds.ml.models.randomforest
RandomNegativeSampler - Class in org.neo4j.gds.ml.negativeSampling
RandomNegativeSampler(Graph, long, long, IdMap, IdMap, Optional<Long>) - Constructor for class org.neo4j.gds.ml.negativeSampling.RandomNegativeSampler
RandomSearch - Class in org.neo4j.gds.ml.models.automl
RandomSearch(Map<TrainingMethod, List<TunableTrainerConfig>>, int, long) - Constructor for class org.neo4j.gds.ml.models.automl.RandomSearch
RandomSearch(Map<TrainingMethod, List<TunableTrainerConfig>>, int, Optional<Long>) - Constructor for class org.neo4j.gds.ml.models.automl.RandomSearch
Recall - Class in org.neo4j.gds.ml.metrics.classification
Recall(long, int) - Constructor for class org.neo4j.gds.ml.metrics.classification.Recall
registerLoss(double) - Method in interface org.neo4j.gds.ml.gradientdescent.TrainingStopper
RegressionMetrics - Enum Class in org.neo4j.gds.ml.metrics.regression
RegressionTrainerFactory - Class in org.neo4j.gds.ml.models
Regressor - Interface in org.neo4j.gds.ml.models
Regressor.RegressorData - Interface in org.neo4j.gds.ml.models
RegressorTrainer - Interface in org.neo4j.gds.ml.models
RELATIONSHIP_PROPERTY - Static variable in class org.neo4j.gds.ml.splitting.EdgeSplitter
remainingRelationshipType() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
remainingRelCount() - Method in interface org.neo4j.gds.ml.splitting.EdgeSplitter.SplitResult
remainingRels() - Method in interface org.neo4j.gds.ml.splitting.EdgeSplitter.SplitResult
render() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode: Renders the variable into a human readable representation.
renderMetrics(Map<Metric, Double>, Map<Metric, Double>) - Method in interface org.neo4j.gds.ml.metrics.ModelCandidateStats
rightChild() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
root - Variable in class org.neo4j.gds.ml.decisiontree.DecisionTreePredictor
ROOT_MEAN_SQUARED_ERROR - Enum constant in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics
runtimeOverheadMemoryEstimation() - Static method in class org.neo4j.gds.ml.models.randomforest.RandomForestRegressor
runtimeOverheadMemoryEstimation(int) - Static method in class org.neo4j.gds.ml.models.randomforest.RandomForestClassifier
runtimeOverheadMemoryEstimation(int, int, int, boolean) - Static method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionClassifier
runtimeOverheadMemoryEstimation(TrainingMethod, int, int, int, boolean) - Static method in class org.neo4j.gds.ml.models.ClassifierFactory

S

sample() - Method in class org.neo4j.gds.ml.decisiontree.FeatureBagger
samplingStats() - Method in class org.neo4j.gds.ml.linkmodels.ExhaustiveLinkPredictionResult
samplingStats() - Method in interface org.neo4j.gds.ml.linkmodels.LinkPredictionResult
score(ClassificationMetric) - Method in class org.neo4j.gds.ml.nodeClassification.ClassificationMetricComputer
selectedRelCount() - Method in interface org.neo4j.gds.ml.splitting.EdgeSplitter.SplitResult
selectedRels() - Method in interface org.neo4j.gds.ml.splitting.EdgeSplitter.SplitResult
selectModel(ReadOnlyHugeLongArray, LongToLongFunction, SortedSet<Long>, TrainingStatistics, Iterator<TrainerConfig>) - Method in class org.neo4j.gds.ml.training.CrossValidation
setLeftChild(TreeNode) - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
setPrediction(PREDICTION) - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
setRightChild(TreeNode) - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
SignedProbabilities - Class in org.neo4j.gds.ml.metrics: Represents a sorted list of doubles, sorted according to their absolute value in increasing order.
SignedProbabilities() - Constructor for class org.neo4j.gds.ml.metrics.SignedProbabilities
singleClassMetrics() - Static method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification.Parser
size() - Method in class org.neo4j.gds.ml.linkmodels.ExhaustiveLinkPredictionResult
size() - Method in interface org.neo4j.gds.ml.models.Features
sizeInBytes(long) - Static method in class org.neo4j.gds.ml.metrics.ModelStatsBuilder
sizeOfBatchInBytes(boolean, int, int, int) - Static method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionObjective
sizeOfPredictionsVariableInBytes(int, int, int, int) - Static method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionClassifier
sourceId() - Method in interface org.neo4j.gds.ml.linkmodels.PredictedLink
sourceNodeLabels() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
specificationsToString(List<ClassificationMetricSpecification>) - Static method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification
split(double, int, Optional<Long>) - Method in class org.neo4j.gds.ml.nodePropertyPrediction.NodeSplitter
split(ReadOnlyHugeLongArray, double) - Method in class org.neo4j.gds.ml.splitting.FractionSplitter
SplitMeanSquaredError - Class in org.neo4j.gds.ml.decisiontree
SplitMeanSquaredError(HugeDoubleArray) - Constructor for class org.neo4j.gds.ml.decisiontree.SplitMeanSquaredError
splitMemoryEstimation() - Static method in class org.neo4j.gds.ml.decisiontree.TreeNode
splitPositiveExamples(Graph, double, Optional<String>) - Method in class org.neo4j.gds.ml.splitting.EdgeSplitter
SplitRelationships - Class in org.neo4j.gds.ml.splitting
SplitRelationshipsBaseConfig - Interface in org.neo4j.gds.ml.splitting
SplitRelationshipsMutateConfig - Interface in org.neo4j.gds.ml.splitting
splits() - Method in class org.neo4j.gds.ml.splitting.StratifiedKFoldSplitter
Splitter - Class in org.neo4j.gds.ml.decisiontree
standard(int, int) - Static method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
storeModelToDisk() - Method in interface org.neo4j.gds.ml.training.TrainBaseConfig
StratifiedKFoldSplitter - Class in org.neo4j.gds.ml.splitting: Splits an HugeLongArray of nodes into k NodeSplits, each of which contains a train set and a test set.
StratifiedKFoldSplitter(int, ReadOnlyHugeLongArray, LongToLongFunction, Optional<Long>, SortedSet<Long>) - Constructor for class org.neo4j.gds.ml.splitting.StratifiedKFoldSplitter
stream() - Method in class org.neo4j.gds.ml.linkmodels.ExhaustiveLinkPredictionResult
stream() - Method in interface org.neo4j.gds.ml.linkmodels.LinkPredictionResult
stream() - Method in class org.neo4j.gds.ml.metrics.SignedProbabilities
streamCornerCaseConfigs() - Method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
StringParameter - Interface in org.neo4j.gds.ml.models.automl.hyperparameter
superRelationshipTypes() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig

T

targetId() - Method in interface org.neo4j.gds.ml.linkmodels.PredictedLink
targetNodeLabels() - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
terminated() - Method in interface org.neo4j.gds.ml.gradientdescent.TrainingStopper
testSet() - Method in interface org.neo4j.gds.ml.splitting.TrainingExamplesSplit
thresholdValue() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
tolerance() - Method in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
toMap() - Method in interface org.neo4j.gds.ml.gradientdescent.GradientDescentConfig
toMap() - Method in interface org.neo4j.gds.ml.metrics.EvaluationScores
toMap() - Method in interface org.neo4j.gds.ml.metrics.ModelCandidateStats
toMap() - Method in interface org.neo4j.gds.ml.models.automl.hyperparameter.DoubleRangeParameter
toMap() - Method in interface org.neo4j.gds.ml.models.automl.hyperparameter.IntegerRangeParameter
toMap() - Method in interface org.neo4j.gds.ml.models.automl.hyperparameter.NumericalRangeParameter
toMap() - Method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
toMap() - Method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionTrainConfig
toMap() - Method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainConfig
toMap() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierTrainConfig
toMap() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainerConfig
toMap() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainerConfig
toMap() - Method in class org.neo4j.gds.ml.training.TrainingStatistics: Turns this class into a Cypher map, to be returned in a procedure YIELD field.
toMapWithTrainerMethod() - Method in interface org.neo4j.gds.ml.models.TrainerConfig
toString() - Method in class org.neo4j.gds.ml.decisiontree.TreeNode
toString() - Method in class org.neo4j.gds.ml.metrics.classification.Accuracy
toString() - Method in class org.neo4j.gds.ml.metrics.classification.ClassificationMetricSpecification
toString() - Method in class org.neo4j.gds.ml.metrics.classification.F1Macro
toString() - Method in class org.neo4j.gds.ml.metrics.classification.F1Score
toString() - Method in class org.neo4j.gds.ml.metrics.classification.F1Weighted
toString() - Method in class org.neo4j.gds.ml.metrics.classification.GlobalAccuracy
toString() - Method in class org.neo4j.gds.ml.metrics.classification.OutOfBagError
toString() - Method in class org.neo4j.gds.ml.metrics.classification.Precision
toString() - Method in class org.neo4j.gds.ml.metrics.classification.Recall
toString(List<RegressionMetrics>) - Static method in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics
toString(ClassifierImpurityCriterionType) - Static method in enum class org.neo4j.gds.ml.decisiontree.ClassifierImpurityCriterionType
toTerminal(Group) - Method in class org.neo4j.gds.ml.decisiontree.DecisionTreeClassifierTrainer
toTerminal(Group) - Method in class org.neo4j.gds.ml.decisiontree.DecisionTreeRegressorTrainer
toTerminal(Group) - Method in class org.neo4j.gds.ml.decisiontree.DecisionTreeTrainer
toTunableConfig() - Method in interface org.neo4j.gds.ml.models.TrainerConfig
train(ReadOnlyHugeLongArray) - Method in class org.neo4j.gds.ml.decisiontree.DecisionTreeTrainer
train(ReadOnlyHugeLongArray, TrainerConfig, ModelSpecificMetricsHandler, LogLevel) - Method in interface org.neo4j.gds.ml.training.CrossValidation.ModelTrainer
train(Objective<?>, Supplier<BatchQueue>, int) - Method in class org.neo4j.gds.ml.gradientdescent.Training
train(Features, HugeDoubleArray, ReadOnlyHugeLongArray) - Method in class org.neo4j.gds.ml.models.linearregression.LinearRegressionTrainer
train(Features, HugeDoubleArray, ReadOnlyHugeLongArray) - Method in class org.neo4j.gds.ml.models.randomforest.RandomForestRegressorTrainer
train(Features, HugeDoubleArray, ReadOnlyHugeLongArray) - Method in interface org.neo4j.gds.ml.models.RegressorTrainer
train(Features, HugeIntArray, ReadOnlyHugeLongArray) - Method in interface org.neo4j.gds.ml.models.ClassifierTrainer
train(Features, HugeIntArray, ReadOnlyHugeLongArray) - Method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionTrainer
train(Features, HugeIntArray, ReadOnlyHugeLongArray) - Method in class org.neo4j.gds.ml.models.mlp.MLPClassifierTrainer
train(Features, HugeIntArray, ReadOnlyHugeLongArray) - Method in class org.neo4j.gds.ml.models.randomforest.RandomForestClassifierTrainer
TrainBaseConfig - Interface in org.neo4j.gds.ml.training
trainerConfig() - Method in interface org.neo4j.gds.ml.metrics.ModelCandidateStats
TrainerConfig - Interface in org.neo4j.gds.ml.models
trainerMethod() - Method in interface org.neo4j.gds.ml.models.BaseModelData
trainerMethod() - Method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionData
trainerMethod() - Method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
trainerMethod() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
trainerMethod() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestClassifierData
trainerMethod() - Method in interface org.neo4j.gds.ml.models.randomforest.RandomForestRegressorData
Training - Class in org.neo4j.gds.ml.gradientdescent
Training(GradientDescentConfig, ProgressTracker, LogLevel, long, TerminationFlag) - Constructor for class org.neo4j.gds.ml.gradientdescent.Training
TrainingExamplesSplit - Interface in org.neo4j.gds.ml.splitting
trainingMethod() - Method in class org.neo4j.gds.ml.models.automl.TunableTrainerConfig
TrainingSetWarnings - Class in org.neo4j.gds.ml.util
TrainingStatistics - Class in org.neo4j.gds.ml.training
TrainingStatistics(List<? extends Metric>) - Constructor for class org.neo4j.gds.ml.training.TrainingStatistics
trainingStats() - Method in interface org.neo4j.gds.ml.metrics.ModelCandidateStats
TrainingStopper - Interface in org.neo4j.gds.ml.gradientdescent
trainMetricsAvg(int) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
trainSet() - Method in interface org.neo4j.gds.ml.splitting.TrainingExamplesSplit
TreeNode<PREDICTION extends Number> - Class in org.neo4j.gds.ml.decisiontree
TreeNode(int, double) - Constructor for class org.neo4j.gds.ml.decisiontree.TreeNode
TreeNode(PREDICTION) - Constructor for class org.neo4j.gds.ml.decisiontree.TreeNode
TunableTrainerConfig - Class in org.neo4j.gds.ml.models.automl

U

UndirectedEdgeSplitter - Class in org.neo4j.gds.ml.splitting: Splits an undirected graph into two Relationships objects.
UndirectedEdgeSplitter(Optional<Long>, IdMap, IdMap, IdMap, RelationshipType, RelationshipType, int) - Constructor for class org.neo4j.gds.ml.splitting.UndirectedEdgeSplitter
update(Metric, double) - Method in class org.neo4j.gds.ml.metrics.ModelStatsBuilder
UserInputNegativeSampler - Class in org.neo4j.gds.ml.negativeSampling
UserInputNegativeSampler(Graph, double, Optional<Long>, Collection<NodeLabel>, Collection<NodeLabel>) - Constructor for class org.neo4j.gds.ml.negativeSampling.UserInputNegativeSampler

V

validateHoldOutRelType(GraphStore, Collection<NodeLabel>, Collection<RelationshipType>) - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
validateMinSizes() - Method in interface org.neo4j.gds.ml.decisiontree.DecisionTreeTrainerConfig
validateNonNegativeRelTypesExist(GraphStore, Collection<NodeLabel>, Collection<RelationshipType>) - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
validateRemainingRelType(GraphStore, Collection<NodeLabel>, Collection<RelationshipType>) - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
validateTypeDoesNotExist(GraphStore, RelationshipType, String) - Method in interface org.neo4j.gds.ml.splitting.SplitRelationshipsBaseConfig
validationMetricsAvg(int) - Method in class org.neo4j.gds.ml.training.TrainingStatistics
validationStats() - Method in interface org.neo4j.gds.ml.metrics.ModelCandidateStats
validPositiveRelationshipCandidateCount(Graph, LongLongPredicate) - Method in class org.neo4j.gds.ml.splitting.DirectedEdgeSplitter
validPositiveRelationshipCandidateCount(Graph, LongLongPredicate) - Method in class org.neo4j.gds.ml.splitting.EdgeSplitter
validPositiveRelationshipCandidateCount(Graph, LongLongPredicate) - Method in class org.neo4j.gds.ml.splitting.UndirectedEdgeSplitter
value() - Method in interface org.neo4j.gds.ml.models.automl.hyperparameter.ConcreteParameter
valueOf(String) - Static method in enum class org.neo4j.gds.ml.decisiontree.ClassifierImpurityCriterionType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.neo4j.gds.ml.metrics.LinkMetric: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics: Returns the enum constant of this class with the specified name.
values() - Static method in enum class org.neo4j.gds.ml.decisiontree.ClassifierImpurityCriterionType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.neo4j.gds.ml.metrics.LinkMetric: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.neo4j.gds.ml.metrics.regression.RegressionMetrics: Returns an array containing the constants of this enum class, in the order they are declared.

W

warnForSmallNodeSets(long, long, long, ProgressTracker) - Static method in class org.neo4j.gds.ml.util.TrainingSetWarnings
warnForSmallRelationshipSets(long, long, long, ProgressTracker) - Static method in class org.neo4j.gds.ml.util.TrainingSetWarnings
weights() - Method in interface org.neo4j.gds.ml.gradientdescent.Objective
weights() - Method in interface org.neo4j.gds.ml.models.linearregression.LinearRegressionData
weights() - Method in class org.neo4j.gds.ml.models.linearregression.LinearRegressionObjective
weights() - Method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
weights() - Method in class org.neo4j.gds.ml.models.logisticregression.LogisticRegressionObjective
weights() - Method in interface org.neo4j.gds.ml.models.mlp.MLPClassifierData
weights() - Method in class org.neo4j.gds.ml.models.mlp.MLPClassifierObjective
winningModelOuterTrainMetrics() - Method in class org.neo4j.gds.ml.training.TrainingStatistics
winningModelTestMetrics() - Method in class org.neo4j.gds.ml.training.TrainingStatistics
withReducedClassCount(int, int) - Static method in interface org.neo4j.gds.ml.models.logisticregression.LogisticRegressionData
wrap(double[]) - Static method in class org.neo4j.gds.ml.models.FeaturesFactory
wrap(List<double[]>) - Static method in class org.neo4j.gds.ml.models.FeaturesFactory
wrap(HugeObjectArray<double[]>) - Static method in class org.neo4j.gds.ml.models.FeaturesFactory

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