Uses of Class is2.data.Instances (mate-tools 3.5 API)

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Packages that use Instances
Package Description

extractors

is2.data

is2.io

is2.lemmatizer

is2.mtag

is2.parser

is2.parserR2

is2.tag

is2.tools

Uses of Instances in extractors

Methods in extractors with parameters of type Instances
Modifier and Type	Method and Description
`FV`	ExtractorClusterStacked.`encodeCat(Instances is, int ic, short[] pposs, int[] forms, int[] lemmas, short[] heads, short[] types, short[][] feats, Cluster cluster, FV f)`
`FV`	ExtractorClusterStackedR2.`encodeCat(Instances is, int ic, short[] pposs, int[] forms, int[] lemmas, short[] heads, short[] types, short[][] feats, Cluster cluster, FV f)`
`FV`	Extractor.`encodeCat(Instances is, int n, short[] pos, int[] is2, int[] is3, short[] heads, short[] labels, short[][] s, Cluster cl, FV pred)`
`IFV`	ExtractorClusterStacked.`encodeCat2(Instances is, int ic, short[] pposs, int[] forms, int[] lemmas, short[] heads, short[] types, short[][] feats, Cluster cluster, IFV f, Long2IntInterface li)`
`void`	ExtractorReranker.`extractFeatures(Instances is, int i, ParseNBest parse, int rank, long[] v, Cluster cluster)` This works seem works well with n-best n=8 (88.858074) , n=10 (88.836884), n=12 (88.858) n=14 (88.913417) n=16 (88.79546) n=20 (88.80621) n 50 (88.729364) 1-best: 88.749605
`void`	ExtractorReranker.`extractFeatures2(Instances is, int i, ParseNBest parse, int rank, long[] v)`
`void`	ExtractorReranker.`extractFeatures3(Instances is, int i, ParseNBest parse, int rank, long[] v)`
`void`	ExtractorReranker.`extractFeatures6(Instances is, int i, ParseNBest parse, int rank, long[] v)` Works well!
`void`	ExtractorClusterStacked.`firstm(Instances is, int i, int prnt, int dpnt, int label, Cluster cluster, long[] f)`
`void`	ExtractorClusterStackedR2.`firstm(Instances is, int i, int prnt, int dpnt, int label, Cluster cluster, long[] f)`
`void`	Extractor.`firstm(Instances is, int i, int w1, int w2, int j, Cluster cluster, long[] svs)`
`void`	ExtractorClusterStacked.`gcm(Instances is, int i, int p, int d, int gc, int label, Cluster cluster, long[] f)`
`void`	ExtractorClusterStackedR2.`gcm(Instances is, int i, int p, int d, int gc, int label, Cluster cluster, long[] f)`
`void`	Extractor.`gcm(Instances is, int i, int w1, int w2, int g, int j, Cluster cluster, long[] svs)`
`void`	ExtractorClusterStacked.`siblingm(Instances is, int i, short[] pos, int[] forms, int[] lemmas, short[][] feats, int prnt, int d, int sblng, int label, Cluster cluster, long[] f, int v)`
`void`	ExtractorClusterStackedR2.`siblingm(Instances is, int i, short[] pos, int[] forms, int[] lemmas, short[][] feats, int prnt, int d, int sblng, int label, Cluster cluster, long[] f, int v)`
`void`	Extractor.`siblingm(Instances is, int i, short[] pos, int[] forms, int[] lemmas, short[][] feats, int w1, int w2, int g, int j, Cluster cluster, long[] svs, int n)`

Constructors in extractors with parameters of type Instances
Constructor and Description
`ParallelExtract(Extractor e, Instances is, int i, DataF d, F2SF para, Cluster cluster, Long2IntInterface li)`

Uses of Instances in is2.data

Subclasses of Instances in is2.data
Modifier and Type	Class and Description
`class`	`InstancesTagger`

Methods in is2.data with parameters of type Instances
Modifier and Type	Method and Description
`void`	ParametersFloat.`update(FVR act, FVR pred, Instances isd, int instc, Parse dx, double upd, double e, float lam_dist)`

Uses of Instances in is2.io

Methods in is2.io with parameters of type Instances
Modifier and Type	Method and Description
`SentenceData09`	CONLLReader06.`getNext(Instances is)` Read a instance an store it in a compressed format
`SentenceData09`	CONLLReader09.`getNext(Instances is)` Read a instance an store it in a compressed format
`SentenceData09`	CONLLReader08.`getNext(Instances is)` Read a instance an store it in a compressed format
`SentenceData09`	CONLLReader04.`getNext(Instances is)` Read a instance an store it in a compressed format
`boolean`	CONLLReader06.`insert(Instances is, SentenceData09 it)`
`boolean`	CONLLReader09.`insert(Instances is, SentenceData09 it)`
`boolean`	CONLLReader08.`insert(Instances is, SentenceData09 it)`
`boolean`	CONLLReader04.`insert(Instances is, SentenceData09 it)`

Uses of Instances in is2.lemmatizer

Methods in is2.lemmatizer with parameters of type Instances
Modifier and Type	Method and Description
`static String`	Pipe.`getOperation(Instances is, int n, int k, String[] wds)`
`void`	Lemmatizer.`train(OptionsSuper options, IPipe p, ParametersFloat params, Instances ist)` Do the training

Uses of Instances in is2.mtag

Methods in is2.mtag that return Instances
Modifier and Type	Method and Description
`Instances`	Pipe.`createInstances(String file)`
`Instances`	ExtractorM.`createInstances(String file)`

Methods in is2.mtag with parameters of type Instances
Modifier and Type	Method and Description
`int`	Pipe.`fillFeatureVectorsOne(ParametersFloat params, int w1, String form, Instances is, int n, int[] features, long[] vs)`
`int`	ExtractorM.`fillFeatureVectorsOne(ParametersFloat params, int w1, String form, Instances is, int n, short[] features, long[] vs)`
`void`	Tagger.`train(OptionsSuper options, IPipe pipe, ParametersFloat params, Instances is)`

Uses of Instances in is2.parser

Fields in is2.parser declared as Instances
Modifier and Type	Field and Description
`Instances`	Parser.`is`

Methods in is2.parser with parameters of type Instances
Modifier and Type	Method and Description
`void`	Extractor.`compare(Instances is, int ic, short[] pos, short[] heads, short[] types, Cluster cluster, F2SF f, DataFES x)`
`void`	Pipe.`createInstances(String file, Instances is)`
`FV`	Extractor.`encodeCat(Instances is, int ic, short[] pposs, int[] forms, int[] lemmas, short[] heads, short[] types, short[][] feats, Cluster cluster, FV f)`
`double`	Pipe.`errors(Instances is, int ic, Parse p)`
`DataFES`	Pipe.`fillVector(F2SF params, Instances is, int inst, DataFES d, Cluster cluster)`
`int`	Extractor.`firstm(Instances is, int i, int prnt, int dpnt, int label, Cluster cluster, long[] f)`
`protected SentenceData09`	Pipe.`nextInstance(Instances is, CONLLReader09 depReader)` Creates an instance for outputParses
`short[]`	Extractor.`searchLabel(Instances is, int ic, short[] pposs, int[] forms, int[] lemmas, short[] heads, short[] types, short[][] feats, Cluster cluster, IFV f)`
`int`	Extractor.`second(Instances is, int i, int p, int d, int x, int label, Cluster cluster, long[] f)`
`void`	Parser.`train(OptionsSuper options, Pipe pipe, ParametersFloat params, Instances is, Cluster cluster)` Do the training
`void`	ParametersFloat.`update(FV act, FV pred, Instances isd, int instc, Parse d, double upd, double e)`
`abstract void`	Parameters.`update(FV act, FV pred, Instances isd, int instc, Parse d, double upd, double e)`

Constructors in is2.parser with parameters of type Instances
Constructor and Description
`ParallelExtract(Extractor e, Instances is, int i, DataFES d, F2SF para, Cluster cluster)`

Uses of Instances in is2.parserR2

Methods in is2.parserR2 with parameters of type Instances
Modifier and Type	Method and Description
`void`	Pipe.`createInstances(String file, Instances is)`
`void`	PipeReranker.`createInstances(String file, Instances is)`
`double`	Pipe.`errors(Instances is, int ic, Parse p)` the loss function
`DataF`	Pipe.`fillVector(F2SF params, Instances is, int inst, DataF d, Cluster cluster, int threads, Long2IntInterface li)`
`static int`	Decoder.`getError(ParseNBest parse, Instances is, int i, boolean las)`
`static int`	Decoder.`getGoldRank(List<ParseNBest> parses, Instances is, int i, boolean las)`
`void`	Pipe.`getInstances(String file, Instances is)`
`static int`	Decoder.`getSmallestError(List<ParseNBest> parses, Instances is, int i, boolean las)`
`protected SentenceData09`	Pipe.`nextInstance(Instances is, CONLLReader09 depReader)` Creates an instance for outputParses
`void`	Reranker.`train(OptionsSuper options, Instances[] iss)` Do the training
`void`	Parser.`train(OptionsSuper options, Pipe pipe, ParametersFloat params, Instances is, Cluster cluster)` Do the training
`void`	ParametersFloat.`update(FV act, FV pred, Instances isd, int instc, Parse dx, double upd, double e)`
`abstract void`	Parameters.`update(FV act, FV pred, Instances isd, int instc, Parse d, double upd, double e)`
`void`	ParametersFloat.`update(FV act, FV pred, Instances isd, int instc, Parse dx, double upd, double e, float d, float f)`
`void`	ParametersFloat.`update(FVR act, FVR pred, Instances isd, int instc, Parse dx, double upd, double e, float lam_dist)`

Uses of Instances in is2.tag

Methods in is2.tag that return Instances
Modifier and Type	Method and Description
`Instances`	ExtractorT2.`createInstances(String file)`
`Instances`	ExtractorT2.`createInstances(String file, int skipStart, int skipEnd)`

Methods in is2.tag with parameters of type Instances
Modifier and Type	Method and Description
`void`	Tagger.`train(OptionsSuper options, IPipe pipe, ParametersFloat params, Instances is2)` Do the training

Uses of Instances in is2.tools

Methods in is2.tools that return Instances
Modifier and Type	Method and Description
`Instances`	IPipe.`createInstances(String file)`

Methods in is2.tools with parameters of type Instances
Modifier and Type	Method and Description
`void`	Train.`train(OptionsSuper options, IPipe pipe, ParametersFloat params, Instances is)`

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