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
- MLWritable
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Type Members
- type AnnotatorType = String
- Definition Classes
- HasOutputAnnotatorType
Value Members
- final def !=(arg0: Any): Boolean
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- final def $[T](param: Param[T]): T
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- final def asInstanceOf[T0]: T0
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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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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
- def copy(extra: ParamMap): Transformer
- Definition Classes
- AudioAssembler → Transformer → PipelineStage → Params
- def copyValues[T <: Params](to: T, extra: ParamMap): T
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- final def defaultCopy[T <: Params](extra: ParamMap): T
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- def explainParam(param: Param[_]): String
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- def explainParams(): String
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- final def extractParamMap(): ParamMap
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- final def extractParamMap(extra: ParamMap): ParamMap
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- final def get[T](param: Param[T]): Option[T]
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- @HotSpotIntrinsicCandidate() @native()
- final def getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getInputCol: String
Input column of raw audio
- final def getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
- final def getOutputCol: String
Gets annotation column name going to generate
Gets annotation column name going to generate
- Definition Classes
- HasOutputAnnotationCol
- def getParam(paramName: String): Param[Any]
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- Params
- final def hasDefault[T](param: Param[T]): Boolean
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- def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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- def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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- Logging
- val inputCol: Param[String]
Input column of raw float or double of the processed audio
- final def isDefined(param: Param[_]): Boolean
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- @HotSpotIntrinsicCandidate() @native()
- val outputAnnotatorType: AnnotatorType
Output Annotator Type: AUDIO
Output Annotator Type: AUDIO
- Definition Classes
- AudioAssembler → HasOutputAnnotatorType
- final val outputCol: Param[String]
- Attributes
- protected
- Definition Classes
- HasOutputAnnotationCol
- lazy val params: Array[Param[_]]
- Definition Classes
- Params
- def save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @throws("If the input path already exists but overwrite is not enabled.") @Since("1.6.0")
- final def set(paramPair: ParamPair[_]): AudioAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set(param: String, value: Any): AudioAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set[T](param: Param[T], value: T): AudioAssembler.this.type
- Definition Classes
- Params
- final def setDefault(paramPairs: ParamPair[_]*): AudioAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def setDefault[T](param: Param[T], value: T): AudioAssembler.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
- def setInputCol(value: String): AudioAssembler.this.type
Input column of raw audio
- final def setOutputCol(value: String): AudioAssembler.this.type
Overrides annotation column name when transforming
Overrides annotation column name when transforming
- Definition Classes
- HasOutputAnnotationCol
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
- def transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- AudioAssembler → 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
- @varargs() @Since("2.0.0")
- 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
- def transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
- val uid: String
- Definition Classes
- AudioAssembler → Identifiable
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- def write: MLWriter
- Definition Classes
- DefaultParamsWritable → MLWritable
Deprecated Value Members
- def finalize(): Unit
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- protected[lang]
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)