class ImageAssembler extends Transformer with DefaultParamsWritable with HasOutputAnnotatorType with HasOutputAnnotationCol
Prepares images read by Spark into a format that is processable by Spark NLP. This component is needed to process images.
Example
import com.johnsnowlabs.nlp.ImageAssembler import org.apache.spark.ml.Pipeline val imageDF: DataFrame = spark.read .format("image") .option("dropInvalid", value = true) .load("src/test/resources/image/") val imageAssembler = new ImageAssembler() .setInputCol("image") .setOutputCol("image_assembler") val pipeline = new Pipeline().setStages(Array(imageAssembler)) val pipelineDF = pipeline.fit(imageDF).transform(imageDF) pipelineDF.printSchema() root |-- image_assembler: array (nullable = true) | |-- element: struct (containsNull = true) | | |-- annotatorType: string (nullable = true) | | |-- origin: string (nullable = true) | | |-- height: integer (nullable = false) | | |-- width: integer (nullable = false) | | |-- nChannels: integer (nullable = false) | | |-- mode: integer (nullable = false) | | |-- result: binary (nullable = true) | | |-- metadata: map (nullable = true) | | | |-- key: string | | | |-- value: string (valueContainsNull = true)
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- ImageAssembler
- HasOutputAnnotationCol
- HasOutputAnnotatorType
- DefaultParamsWritable
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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 ##: 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
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- final def clear(param: Param[_]): ImageAssembler.this.type
- Definition Classes
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- def clone(): AnyRef
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- protected[lang]
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- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
- def copy(extra: ParamMap): Transformer
- Definition Classes
- ImageAssembler → Transformer → PipelineStage → Params
- def copyValues[T <: Params](to: T, extra: ParamMap): T
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- protected
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- Params
- final def defaultCopy[T <: Params](extra: ParamMap): T
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- final def eq(arg0: AnyRef): Boolean
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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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- final def getClass(): Class[_ <: AnyRef]
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- @HotSpotIntrinsicCandidate() @native()
- final def getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getInputCol: String
Input text column for processing
- 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]
- Definition Classes
- Params
- def getTextCol: String
Input text column for processing
- final def hasDefault[T](param: Param[T]): Boolean
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- def hasParam(paramName: String): Boolean
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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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- protected
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- Logging
- val inputCol: Param[String]
Input text column for processing
- final def isDefined(param: Param[_]): Boolean
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- final def isInstanceOf[T0]: Boolean
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- final def isSet(param: Param[_]): 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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- @HotSpotIntrinsicCandidate() @native()
- val outputAnnotatorType: AnnotatorType
Output Annotator Type: DOCUMENT
Output Annotator Type: DOCUMENT
- Definition Classes
- ImageAssembler → 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[_]): ImageAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set(param: String, value: Any): ImageAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set[T](param: Param[T], value: T): ImageAssembler.this.type
- Definition Classes
- Params
- final def setDefault(paramPairs: ParamPair[_]*): ImageAssembler.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def setDefault[T](param: Param[T], value: T): ImageAssembler.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
- def setInputCol(value: String): ImageAssembler.this.type
Input text column for processing
- final def setOutputCol(value: String): ImageAssembler.this.type
Overrides annotation column name when transforming
Overrides annotation column name when transforming
- Definition Classes
- HasOutputAnnotationCol
- def setTextCol(value: String): ImageAssembler.this.type
Input text column for processing
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- val textCol: Param[String]
Input text column for processing
- def toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
- def transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- ImageAssembler → 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
- ImageAssembler → PipelineStage
- def transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
- val uid: String
- Definition Classes
- ImageAssembler → 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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- final def wait(): 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)
Inherited from HasOutputAnnotationCol
Inherited from HasOutputAnnotatorType
Inherited from DefaultParamsWritable
Inherited from MLWritable
Inherited from Transformer
Inherited from PipelineStage
Inherited from Logging
Inherited from Params
Inherited from Serializable
Inherited from Identifiable
Inherited from AnyRef
Inherited from Any
Parameters
A list of (hyper-)parameter keys this annotator can take. Users can set and get the parameter values through setters and getters, respectively.
Annotator types
Required input and expected output annotator types