com.johnsnowlabs.nlp.annotators.ner.dl
NerDLGraphCheckerModel
Companion object NerDLGraphCheckerModel
class NerDLGraphCheckerModel extends Model[NerDLGraphCheckerModel] with HasInputAnnotationCols with ParamsAndFeaturesWritable
Resulting model from NerDLGraphChecker, that does not perform any transformations, as the
checks are done during the fit
phase. It acts as the identity.
This annotator should never be used directly.
- Grouped
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- NerDLGraphCheckerModel
- ParamsAndFeaturesWritable
- HasFeatures
- DefaultParamsWritable
- MLWritable
- HasInputAnnotationCols
- Model
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
$[T](param: Param[T]): T
- Attributes
- protected
- Definition Classes
- Params
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def
$$[T](feature: StructFeature[T]): T
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
$$[K, V](feature: MapFeature[K, V]): Map[K, V]
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
$$[T](feature: SetFeature[T]): Set[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
$$[T](feature: ArrayFeature[T]): Array[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
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final
def
==(arg0: Any): Boolean
- Definition Classes
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final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
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final
def
checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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final
def
clear(param: Param[_]): NerDLGraphCheckerModel.this.type
- Definition Classes
- Params
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def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
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- Annotations
- @throws( ... ) @native()
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def
copy(extra: ParamMap): NerDLGraphCheckerModel
- Definition Classes
- NerDLGraphCheckerModel → Model → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
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val
embeddingsDim: IntParam
Dimensionality of embeddings
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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def
explainParam(param: Param[_]): String
- Definition Classes
- Params
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def
explainParams(): String
- Definition Classes
- Params
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final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
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val
features: ArrayBuffer[Feature[_, _, _]]
- Definition Classes
- HasFeatures
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def
finalize(): Unit
- Attributes
- protected[lang]
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- @throws( classOf[java.lang.Throwable] )
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def
get[T](feature: StructFeature[T]): Option[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
get[T](feature: SetFeature[T]): Option[Set[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
get[T](feature: ArrayFeature[T]): Option[Array[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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final
def
getClass(): Class[_]
- Definition Classes
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- Annotations
- @native()
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getEmbeddingsDim: Int
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def
getInputCols: Array[String]
- returns
input annotations columns currently used
- Definition Classes
- HasInputAnnotationCols
- def getLabelColumn: String
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
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val
graphFolder: Param[String]
Folder path that contain external graph files
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
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def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
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def
hasParent: Boolean
- Definition Classes
- Model
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def
hashCode(): Int
- Definition Classes
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- Annotations
- @native()
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
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val
inputAnnotatorTypes: Array[String]
Annotator reference id.
Annotator reference id. Used to identify elements in metadata or to refer to this annotator type
- Definition Classes
- NerDLGraphCheckerModel → HasInputAnnotationCols
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final
val
inputCols: StringArrayParam
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
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def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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val
labelColumn: Param[String]
Column with label per each token
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def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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- Definition Classes
- Logging
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def
logInfo(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
msgHelper(schema: StructType): String
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
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final
def
notify(): Unit
- Definition Classes
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- Annotations
- @native()
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final
def
notifyAll(): Unit
- Definition Classes
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- Annotations
- @native()
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def
onWrite(path: String, spark: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesWritable
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val
optionalInputAnnotatorTypes: Array[String]
- Definition Classes
- HasInputAnnotationCols
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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var
parent: Estimator[NerDLGraphCheckerModel]
- Definition Classes
- Model
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def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
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def
set[T](feature: StructFeature[T], value: T): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[K, V](feature: MapFeature[K, V], value: Map[K, V]): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[T](feature: SetFeature[T], value: Set[T]): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[T](feature: ArrayFeature[T], value: Array[T]): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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final
def
set(paramPair: ParamPair[_]): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set[T](param: Param[T], value: T): NerDLGraphCheckerModel.this.type
- Definition Classes
- Params
-
def
setDefault[T](feature: StructFeature[T], value: () ⇒ T): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
setDefault(paramPairs: ParamPair[_]*): NerDLGraphCheckerModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): NerDLGraphCheckerModel.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
- def setEmbeddingsDim(value: Int): NerDLGraphCheckerModel.this.type
- def setGraphFolder(value: String): NerDLGraphCheckerModel.this.type
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final
def
setInputCols(value: String*): NerDLGraphCheckerModel.this.type
- Definition Classes
- HasInputAnnotationCols
-
def
setInputCols(value: Array[String]): NerDLGraphCheckerModel.this.type
Overrides required annotators column if different than default
Overrides required annotators column if different than default
- Definition Classes
- HasInputAnnotationCols
- def setLabelColumn(value: String): NerDLGraphCheckerModel.this.type
-
def
setParent(parent: Estimator[NerDLGraphCheckerModel]): NerDLGraphCheckerModel
- Definition Classes
- Model
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(dataset: Dataset[_]): DataFrame
Returns the dataset as a dataframe.
Returns the dataset as a dataframe. This annotator does not perform any transformations on the dataset (checks during fit only).
- dataset
input dataset
- returns
transformed dataset with new output column
- Definition Classes
- NerDLGraphCheckerModel → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
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def
transformSchema(schema: StructType): StructType
- Definition Classes
- NerDLGraphCheckerModel → PipelineStage
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def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- NerDLGraphCheckerModel → Identifiable
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
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final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
write: MLWriter
- Definition Classes
- ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable