Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.benchmark |
Benchmarking pseudo algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.classification |
Classification algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation |
Affinity Propagation (AP) clustering.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering |
Biclustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction |
Extraction of partitional clusterings from hierarchical results.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel |
Parallelized implementations of k-means.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.meta |
Meta clustering algorithms, that get their result from other clusterings or external sources.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional |
Clustering algorithms for one-dimensional data.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.trivial |
Trivial clustering algorithms: all in one, no clusters, label clusterings
These methods are mostly useful for providing a reference result in evaluation.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.algorithm.itemsetmining |
Algorithms for frequent itemset mining such as APRIORI.
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased |
Angle-based outlier detection algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering |
Clustering based outlier detection.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance |
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic |
Outlier detection algorithms based on intrinsic dimensionality.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel |
Parallelized variants of LOF.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.meta |
Meta outlier detection algorithms: external scores, score rescaling.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood |
Spatial outlier neighborhood classes
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted |
Weighted Neighborhood definitions.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.svm |
Support-Vector-Machines for outlier detection.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial |
Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
|
de.lmu.ifi.dbs.elki.data.projection |
Data projections.
|
de.lmu.ifi.dbs.elki.data.type |
Data type information, also used for type restrictions.
|
de.lmu.ifi.dbs.elki.database |
ELKI database layer - loading, storing, indexing and accessing data
|
de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
|
de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
|
de.lmu.ifi.dbs.elki.datasource.filter.typeconversions |
Filters to perform data type conversions.
|
de.lmu.ifi.dbs.elki.datasource.parser |
Parsers for different file formats and data types.
|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter |
Distance functions deriving distances from e.g. similarity measures
|
de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
de.lmu.ifi.dbs.elki.evaluation.clustering.extractor |
Classes to extract clusterings from hierarchical clustering.
|
de.lmu.ifi.dbs.elki.index |
Index structure implementations
|
de.lmu.ifi.dbs.elki.index.distancematrix |
Precomputed distance matrix.
|
de.lmu.ifi.dbs.elki.index.idistance |
iDistance is a distance based indexing technique, using a reference points embedding.
|
de.lmu.ifi.dbs.elki.index.invertedlist |
Indexes using inverted lists.
|
de.lmu.ifi.dbs.elki.index.lsh |
Locality Sensitive Hashing
|
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies |
Hash function families for LSH.
|
de.lmu.ifi.dbs.elki.index.preprocessed.knn |
Indexes providing KNN and rKNN data.
|
de.lmu.ifi.dbs.elki.index.preprocessed.localpca |
Index using a preprocessed local PCA.
|
de.lmu.ifi.dbs.elki.index.preprocessed.preference |
Indexes storing preference vectors.
|
de.lmu.ifi.dbs.elki.index.preprocessed.snn |
Indexes providing nearest neighbor sets
|
de.lmu.ifi.dbs.elki.index.projected |
Projected indexes for data.
|
de.lmu.ifi.dbs.elki.index.tree.metrical.covertree |
Cover-tree variations.
|
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants |
M-Tree and variants.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.kd |
K-d-tree and variants.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants |
R*-Tree and variants.
|
de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
NullAlgorithm.getInputTypeRestriction() |
TypeInformation[] |
MaterializeDistances.getInputTypeRestriction() |
TypeInformation[] |
KNNJoin.getInputTypeRestriction() |
TypeInformation[] |
KNNDistancesSampler.getInputTypeRestriction() |
TypeInformation[] |
DummyAlgorithm.getInputTypeRestriction() |
TypeInformation[] |
DependencyDerivator.getInputTypeRestriction() |
TypeInformation[] |
Algorithm.getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
|
abstract TypeInformation[] |
AbstractAlgorithm.getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
|
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ValidateApproximativeKNNIndex.getInputTypeRestriction() |
TypeInformation[] |
RangeQueryBenchmarkAlgorithm.getInputTypeRestriction() |
TypeInformation[] |
KNNBenchmarkAlgorithm.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
PriorProbabilityClassifier.getInputTypeRestriction() |
TypeInformation[] |
KNNClassifier.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SNNClustering.getInputTypeRestriction() |
TypeInformation[] |
NaiveMeanShiftClustering.getInputTypeRestriction() |
TypeInformation[] |
GriDBSCAN.getInputTypeRestriction() |
TypeInformation[] |
DBSCAN.getInputTypeRestriction() |
TypeInformation[] |
CanopyPreClustering.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
SimilarityBasedInitializationWithMedian.getInputTypeRestriction() |
TypeInformation |
DistanceBasedInitializationWithMedian.getInputTypeRestriction() |
TypeInformation |
AffinityPropagationInitialization.getInputTypeRestriction()
Get the data type information for the similarity computations.
|
TypeInformation[] |
AffinityPropagationClusteringAlgorithm.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ChengAndChurch.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ORCLUS.getInputTypeRestriction() |
TypeInformation[] |
LMCLUS.getInputTypeRestriction() |
TypeInformation[] |
HiCO.getInputTypeRestriction() |
TypeInformation[] |
FourC.getInputTypeRestriction() |
TypeInformation[] |
ERiC.getInputTypeRestriction() |
TypeInformation[] |
COPAC.getInputTypeRestriction() |
TypeInformation[] |
CASH.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
EM.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
NeighborPredicate.getInputTypeRestriction()
Input data type restriction.
|
TypeInformation[] |
LSDBC.getInputTypeRestriction() |
TypeInformation[] |
GeneralizedDBSCAN.getInputTypeRestriction() |
TypeInformation |
EpsilonNeighborPredicate.getInputTypeRestriction() |
TypeInformation |
ERiCNeighborPredicate.getInputTypeRestriction() |
TypeInformation |
COPACNeighborPredicate.getInputTypeRestriction() |
TypeInformation |
AbstractRangeQueryNeighborPredicate.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SLINKHDBSCANLinearMemory.getInputTypeRestriction() |
TypeInformation[] |
SLINK.getInputTypeRestriction() |
TypeInformation[] |
HDBSCANLinearMemory.getInputTypeRestriction() |
TypeInformation[] |
AnderbergHierarchicalClustering.getInputTypeRestriction() |
TypeInformation[] |
AbstractHDBSCAN.getInputTypeRestriction() |
TypeInformation[] |
AGNES.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SimplifiedHierarchyExtraction.getInputTypeRestriction() |
TypeInformation[] |
HDBSCANHierarchyExtraction.getInputTypeRestriction() |
TypeInformation[] |
ExtractFlatClusteringFromHierarchy.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
XMeans.getInputTypeRestriction() |
TypeInformation[] |
KMedoidsPAM.getInputTypeRestriction() |
TypeInformation[] |
KMedoidsEM.getInputTypeRestriction() |
TypeInformation[] |
KMeansBisecting.getInputTypeRestriction() |
TypeInformation[] |
BestOfMultipleKMeans.getInputTypeRestriction() |
TypeInformation[] |
AbstractKMeans.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ParallelLloydKMeans.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ExternalClustering.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
KNNKernelDensityMinimaClustering.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
OPTICSXi.getInputTypeRestriction() |
TypeInformation[] |
FastOPTICS.getInputTypeRestriction() |
TypeInformation[] |
DeLiClu.getInputTypeRestriction() |
TypeInformation[] |
AbstractOPTICS.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SUBCLU.getInputTypeRestriction() |
TypeInformation[] |
PROCLUS.getInputTypeRestriction() |
TypeInformation[] |
P3C.getInputTypeRestriction() |
TypeInformation[] |
HiSC.getInputTypeRestriction() |
TypeInformation[] |
DiSH.getInputTypeRestriction() |
TypeInformation[] |
DOC.getInputTypeRestriction() |
TypeInformation[] |
CLIQUE.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
TrivialAllNoise.getInputTypeRestriction() |
TypeInformation[] |
TrivialAllInOne.getInputTypeRestriction() |
TypeInformation[] |
ByModelClustering.getInputTypeRestriction() |
TypeInformation[] |
ByLabelHierarchicalClustering.getInputTypeRestriction() |
TypeInformation[] |
ByLabelClustering.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
UKMeans.getInputTypeRestriction() |
TypeInformation[] |
RepresentativeUncertainClustering.getInputTypeRestriction() |
TypeInformation |
FDBSCANNeighborPredicate.getInputTypeRestriction() |
TypeInformation[] |
CenterOfMassMetaClustering.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
FPGrowth.getInputTypeRestriction() |
TypeInformation[] |
Eclat.getInputTypeRestriction() |
TypeInformation[] |
APRIORI.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SimpleCOP.getInputTypeRestriction() |
TypeInformation[] |
OPTICSOF.getInputTypeRestriction() |
TypeInformation[] |
GaussianUniformMixture.getInputTypeRestriction() |
TypeInformation[] |
GaussianModel.getInputTypeRestriction() |
TypeInformation[] |
DWOF.getInputTypeRestriction() |
TypeInformation[] |
COP.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
LBABOD.getInputTypeRestriction() |
TypeInformation[] |
FastABOD.getInputTypeRestriction() |
TypeInformation[] |
ABOD.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SilhouetteOutlierDetection.getInputTypeRestriction() |
TypeInformation[] |
KMeansOutlierDetection.getInputTypeRestriction() |
TypeInformation[] |
EMOutlier.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ReferenceBasedOutlierDetection.getInputTypeRestriction() |
TypeInformation[] |
ODIN.getInputTypeRestriction() |
TypeInformation[] |
LocalIsolationCoefficient.getInputTypeRestriction() |
TypeInformation[] |
KNNWeightOutlier.getInputTypeRestriction() |
TypeInformation[] |
KNNOutlier.getInputTypeRestriction() |
TypeInformation[] |
HilOut.getInputTypeRestriction() |
TypeInformation[] |
AbstractDBOutlier.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ParallelKNNWeightOutlier.getInputTypeRestriction() |
TypeInformation[] |
ParallelKNNOutlier.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
IntrinsicDimensionalityOutlier.getInputTypeRestriction() |
TypeInformation[] |
IDOS.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
VarianceOfVolume.getInputTypeRestriction() |
TypeInformation[] |
SimplifiedLOF.getInputTypeRestriction() |
TypeInformation[] |
SimpleKernelDensityLOF.getInputTypeRestriction() |
TypeInformation[] |
LoOP.getInputTypeRestriction() |
TypeInformation[] |
LOF.getInputTypeRestriction() |
TypeInformation[] |
LOCI.getInputTypeRestriction() |
TypeInformation[] |
LDOF.getInputTypeRestriction() |
TypeInformation[] |
LDF.getInputTypeRestriction() |
TypeInformation[] |
KDEOS.getInputTypeRestriction() |
TypeInformation[] |
INFLO.getInputTypeRestriction() |
TypeInformation[] |
FlexibleLOF.getInputTypeRestriction() |
TypeInformation[] |
COF.getInputTypeRestriction() |
TypeInformation[] |
ALOCI.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ParallelSimplifiedLOF.getInputTypeRestriction() |
TypeInformation[] |
ParallelLOF.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SimpleOutlierEnsemble.getInputTypeRestriction() |
TypeInformation[] |
RescaleMetaOutlierAlgorithm.getInputTypeRestriction() |
TypeInformation[] |
HiCS.getInputTypeRestriction() |
TypeInformation[] |
FeatureBagging.getInputTypeRestriction() |
TypeInformation[] |
ExternalDoubleOutlierScore.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
TrimmedMeanApproach.getInputTypeRestriction() |
TypeInformation[] |
SOF.getInputTypeRestriction() |
TypeInformation[] |
SLOM.getInputTypeRestriction() |
TypeInformation[] |
CTLuZTestOutlier.getInputTypeRestriction() |
TypeInformation[] |
CTLuScatterplotOutlier.getInputTypeRestriction() |
TypeInformation[] |
CTLuRandomWalkEC.getInputTypeRestriction() |
TypeInformation[] |
CTLuMoranScatterplotOutlier.getInputTypeRestriction() |
TypeInformation[] |
CTLuMedianMultipleAttributes.getInputTypeRestriction() |
TypeInformation[] |
CTLuMedianAlgorithm.getInputTypeRestriction() |
TypeInformation[] |
CTLuMeanMultipleAttributes.getInputTypeRestriction() |
TypeInformation[] |
CTLuGLSBackwardSearchAlgorithm.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
PrecomputedKNearestNeighborNeighborhood.Factory.getInputTypeRestriction() |
TypeInformation |
NeighborSetPredicate.Factory.getInputTypeRestriction()
Get the input type information
|
TypeInformation |
ExternalNeighborhood.Factory.getInputTypeRestriction() |
TypeInformation |
ExtendedNeighborhood.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
WeightedNeighborSetPredicate.Factory.getInputTypeRestriction()
Get the input type information
|
TypeInformation |
UnweightedNeighborhoodAdapter.Factory.getInputTypeRestriction() |
TypeInformation |
LinearWeightedExtendedNeighborhood.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
SOD.getInputTypeRestriction() |
TypeInformation[] |
OutRankS1.getInputTypeRestriction() |
TypeInformation[] |
OUTRES.getInputTypeRestriction() |
TypeInformation[] |
AbstractAggarwalYuOutlier.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
LibSVMOneClassOutlierDetection.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
TrivialNoOutlier.getInputTypeRestriction() |
TypeInformation[] |
TrivialGeneratedOutlier.getInputTypeRestriction() |
TypeInformation[] |
TrivialAverageCoordinateOutlier.getInputTypeRestriction() |
TypeInformation[] |
TrivialAllOutlier.getInputTypeRestriction() |
TypeInformation[] |
ByLabelOutlier.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
RankingQualityHistogram.getInputTypeRestriction() |
TypeInformation[] |
RangeQuerySelectivity.getInputTypeRestriction() |
TypeInformation[] |
HopkinsStatisticClusteringTendency.getInputTypeRestriction() |
TypeInformation[] |
EvaluateRetrievalPerformance.getInputTypeRestriction() |
TypeInformation[] |
EvaluateRankingQuality.getInputTypeRestriction() |
TypeInformation[] |
EstimateIntrinsicDimensionality.getInputTypeRestriction() |
TypeInformation[] |
DistanceStatisticsWithClasses.getInputTypeRestriction() |
TypeInformation[] |
DistanceQuantileSampler.getInputTypeRestriction() |
TypeInformation[] |
AveragePrecisionAtK.getInputTypeRestriction() |
TypeInformation[] |
AddSingleScale.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
RandomProjection.getInputDataTypeInformation() |
TypeInformation |
Projection.getInputDataTypeInformation()
Input type information.
|
TypeInformation |
NumericalFeatureSelection.getInputDataTypeInformation() |
TypeInformation |
FeatureSelection.getInputDataTypeInformation() |
Modifier and Type | Interface and Description |
---|---|
interface |
FieldTypeInformation
Types with a fixed dimensionality (e.g. vector fields, but also e.g. polygon
types)
TODO: implement polygon and rectangle types!
|
Modifier and Type | Class and Description |
---|---|
class |
AlternativeTypeInformation
Class that combines multiple type restrictions into one using the "or"
operator.
|
class |
CombinedTypeInformation
Class that combines multiple type restrictions into one using an "and" operator.
|
class |
MultivariateSeriesTypeInformation<V extends FeatureVector<?>>
Type information for multi-variate time series.
|
class |
SimpleTypeInformation<T>
Class wrapping a particular data type.
|
class |
VectorFieldTypeInformation<V extends FeatureVector<?>>
Type information to specify that a type has a fixed dimensionality.
|
class |
VectorTypeInformation<V extends FeatureVector<?>>
Construct a type information for vector spaces with fixed dimensionality.
|
Modifier and Type | Field and Description |
---|---|
static TypeInformation |
TypeUtil.GUESSED_LABEL
Either class label, object labels or a string - anything that will be
accepted by
DatabaseUtil.guessObjectLabelRepresentation(de.lmu.ifi.dbs.elki.database.Database)
. |
private TypeInformation[] |
CombinedTypeInformation.restrictions
The wrapped type restrictions
|
private TypeInformation[] |
AlternativeTypeInformation.restrictions
The wrapped type restrictions
|
Modifier and Type | Field and Description |
---|---|
private Collection<TypeInformation> |
NoSupportedDataTypeException.types
Available types
|
Modifier and Type | Method and Description |
---|---|
static TypeInformation[] |
TypeUtil.array(TypeInformation... ts)
Make a type array easily.
|
TypeInformation |
TypeInformationSerializer.fromByteBuffer(ByteBuffer buffer) |
Modifier and Type | Method and Description |
---|---|
static TypeInformation[] |
TypeUtil.array(TypeInformation... ts)
Make a type array easily.
|
int |
TypeInformationSerializer.getByteSize(TypeInformation object) |
boolean |
VectorTypeInformation.isAssignableFromType(TypeInformation type) |
boolean |
VectorFieldTypeInformation.isAssignableFromType(TypeInformation type) |
boolean |
TypeInformation.isAssignableFromType(TypeInformation type)
Test whether this type is assignable from another type.
|
boolean |
SimpleTypeInformation.isAssignableFromType(TypeInformation type) |
boolean |
CombinedTypeInformation.isAssignableFromType(TypeInformation type) |
boolean |
AlternativeTypeInformation.isAssignableFromType(TypeInformation type) |
void |
TypeInformationSerializer.toByteBuffer(ByteBuffer buffer,
TypeInformation object) |
Constructor and Description |
---|
AlternativeTypeInformation(TypeInformation... restrictions)
Constructor.
|
CombinedTypeInformation(TypeInformation... restrictions)
Constructor.
|
NoSupportedDataTypeException(TypeInformation type,
Collection<TypeInformation> types)
Constructor.
|
Constructor and Description |
---|
NoSupportedDataTypeException(TypeInformation type,
Collection<TypeInformation> types)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
<O> Relation<O> |
Database.getRelation(TypeInformation restriction,
Object... hints)
Get an object representation.
|
<O> Relation<O> |
AbstractDatabase.getRelation(TypeInformation restriction,
Object... hints) |
Modifier and Type | Method and Description |
---|---|
protected abstract TypeInformation |
AbstractStreamConversionFilter.getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
|
Modifier and Type | Method and Description |
---|---|
protected TypeInformation |
ProjectionFilter.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
private TypeInformation |
SplitNumberVectorFilter.getInputTypeRestriction()
The input type we use.
|
Modifier and Type | Method and Description |
---|---|
private Object[] |
ArffParser.loadDenseInstance(StreamTokenizer tokenizer,
int[] dimsize,
TypeInformation[] etyp,
int outdim) |
private Object[] |
ArffParser.loadSparseInstance(StreamTokenizer tokenizer,
int[] targ,
int[] dimsize,
TypeInformation[] elkitypes,
int metaLength) |
private void |
ArffParser.processColumnTypes(ArrayList<String> names,
ArrayList<String> types,
int[] targ,
TypeInformation[] etyp,
int[] dims)
Process the column types (and names!)
|
private void |
ArffParser.setupBundleHeaders(ArrayList<String> names,
int[] targ,
TypeInformation[] etyp,
int[] dimsize,
MultipleObjectsBundle bundle,
boolean sparse)
Setup the headers for the object bundle.
|
Modifier and Type | Method and Description |
---|---|
TypeInformation |
RandomStableDistanceFunction.getInputTypeRestriction() |
TypeInformation |
DistanceFunction.getInputTypeRestriction()
Get the input data type of the function.
|
TypeInformation |
AbstractIndexBasedDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
AbstractSimilarityAdapter.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
SimilarityFunction.getInputTypeRestriction()
Get the input data type of the function.
|
TypeInformation |
AbstractIndexBasedSimilarityFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
ExtractFlatClusteringFromHierarchyEvaluator.DummyHierarchicalClusteringAlgorithm.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
IndexFactory.getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
|
Modifier and Type | Method and Description |
---|---|
TypeInformation |
PrecomputedDistanceMatrix.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
InMemoryIDistanceIndex.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
InMemoryInvertedIndex.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
InMemoryLSHIndex.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
LocalitySensitiveHashFunctionFamily.getInputTypeRestriction()
Get the input type information.
|
TypeInformation |
CosineHashFunctionFamily.getInputTypeRestriction() |
TypeInformation |
AbstractProjectedHashFunctionFamily.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
TypeInformation |
SpacefillingMaterializeKNNPreprocessor.Factory.getInputTypeRestriction() |
TypeInformation |
SpacefillingKNNPreprocessor.Factory.getInputTypeRestriction() |
TypeInformation |
NaiveProjectedKNNPreprocessor.Factory.getInputTypeRestriction() |
TypeInformation |
AbstractMaterializeKNNPreprocessor.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
AbstractFilteredPCAIndex.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
AbstractPreferenceVectorIndex.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
SharedNearestNeighborPreprocessor.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
ProjectedIndex.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
AbstractCoverTree.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
AbstractMTreeFactory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
SmallMemoryKDTree.Factory.getInputTypeRestriction() |
TypeInformation |
MinimalisticMemoryKDTree.Factory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
AbstractRStarTreeFactory.getInputTypeRestriction() |
Modifier and Type | Method and Description |
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TypeInformation |
VAFile.Factory.getInputTypeRestriction() |
TypeInformation |
PartialVAFile.Factory.getInputTypeRestriction() |
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