class AudioAssembler extends Transformer with DefaultParamsWritable with HasOutputAnnotatorType with HasOutputAnnotationCol
Prepares audio read by Spark into a format that is processable by Spark NLP. This component is needed to process audio.
Input col is a single record that contains the raw content and metadata of the file.
Example
import com.johnsnowlabs.nlp.AudioAssembler import org.apache.spark.ml.Pipeline val audioAssembler = new AudioAssembler() .setInputCol("audio") .setOutputCol("audio_assembler") val pipeline = new Pipeline().setStages(Array(audioAssembler)) val pipelineDF = pipeline.fit(imageDF).transform(wavDf) pipelineDF.printSchema() root
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- AudioAssembler
- HasOutputAnnotationCol
- HasOutputAnnotatorType
- DefaultParamsWritable
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Type Members
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type
AnnotatorType = String
- Definition Classes
- HasOutputAnnotatorType
Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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final
def
clear(param: Param[_]): AudioAssembler.this.type
- Definition Classes
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def
clone(): AnyRef
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def
copy(extra: ParamMap): Transformer
- Definition Classes
- AudioAssembler → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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eq(arg0: AnyRef): Boolean
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equals(arg0: Any): Boolean
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def
explainParam(param: Param[_]): String
- Definition Classes
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def
explainParams(): String
- Definition Classes
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final
def
extractParamMap(): ParamMap
- Definition Classes
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
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def
finalize(): Unit
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final
def
get[T](param: Param[T]): Option[T]
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final
def
getClass(): Class[_]
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
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def
getInputCol: String
Input column of raw audio
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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final
def
getOutputCol: String
Gets annotation column name going to generate
Gets annotation column name going to generate
- Definition Classes
- HasOutputAnnotationCol
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def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
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def
hasParam(paramName: String): Boolean
- Definition Classes
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def
hashCode(): Int
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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val
inputCol: Param[String]
Input column of raw float or double of the processed audio
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
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def
isSet(param: Param[_]): Boolean
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def
isTraceEnabled(): Boolean
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def
log: Logger
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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def
logDebug(msg: ⇒ String): Unit
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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def
logError(msg: ⇒ String): Unit
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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def
logInfo(msg: ⇒ String): Unit
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def
logName: String
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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def
logTrace(msg: ⇒ String): Unit
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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def
logWarning(msg: ⇒ String): Unit
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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- @native()
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final
def
notifyAll(): Unit
- Definition Classes
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val
outputAnnotatorType: AnnotatorType
Output Annotator Type: AUDIO
Output Annotator Type: AUDIO
- Definition Classes
- AudioAssembler → HasOutputAnnotatorType
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final
val
outputCol: Param[String]
- Attributes
- protected
- Definition Classes
- HasOutputAnnotationCol
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
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final
def
set(paramPair: ParamPair[_]): AudioAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): AudioAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set[T](param: Param[T], value: T): AudioAssembler.this.type
- Definition Classes
- Params
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final
def
setDefault(paramPairs: ParamPair[_]*): AudioAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): AudioAssembler.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
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def
setInputCol(value: String): AudioAssembler.this.type
Input column of raw audio
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final
def
setOutputCol(value: String): AudioAssembler.this.type
Overrides annotation column name when transforming
Overrides annotation column name when transforming
- Definition Classes
- HasOutputAnnotationCol
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
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def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
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def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- AudioAssembler → Transformer
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def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
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def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
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final
def
transformSchema(schema: StructType): StructType
requirement for pipeline transformation validation.
requirement for pipeline transformation validation. It is called on fit()
- Definition Classes
- AudioAssembler → PipelineStage
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def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
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val
uid: String
- Definition Classes
- AudioAssembler → Identifiable
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
- Definition Classes
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- @throws( ... ) @native()
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def
write: MLWriter
- Definition Classes
- DefaultParamsWritable → MLWritable