Packages

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)
Linear Supertypes
HasOutputAnnotationCol, HasOutputAnnotatorType, DefaultParamsWritable, MLWritable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ImageAssembler
  2. HasOutputAnnotationCol
  3. HasOutputAnnotatorType
  4. DefaultParamsWritable
  5. MLWritable
  6. Transformer
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ImageAssembler()
  2. new ImageAssembler(uid: String)

    uid

    required uid for storing annotator to disk

Type Members

  1. type AnnotatorType = String
    Definition Classes
    HasOutputAnnotatorType

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. final def clear(param: Param[_]): ImageAssembler.this.type
    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def copy(extra: ParamMap): Transformer
    Definition Classes
    ImageAssembler → Transformer → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  10. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  14. def explainParams(): String
    Definition Classes
    Params
  15. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  17. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  21. def getInputCol: String

    Input text column for processing

  22. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  23. final def getOutputCol: String

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes
    HasOutputAnnotationCol
  24. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  25. def getTextCol: String

    Input text column for processing

  26. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  27. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  28. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  29. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  30. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. val inputCol: Param[String]

    Input text column for processing

  32. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  33. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  34. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  35. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  36. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  37. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  44. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  49. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  50. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  51. val outputAnnotatorType: AnnotatorType

    Output Annotator Type: DOCUMENT

    Output Annotator Type: DOCUMENT

    Definition Classes
    ImageAssembler → HasOutputAnnotatorType
  52. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  53. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  54. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  55. final def set(paramPair: ParamPair[_]): ImageAssembler.this.type
    Attributes
    protected
    Definition Classes
    Params
  56. final def set(param: String, value: Any): ImageAssembler.this.type
    Attributes
    protected
    Definition Classes
    Params
  57. final def set[T](param: Param[T], value: T): ImageAssembler.this.type
    Definition Classes
    Params
  58. final def setDefault(paramPairs: ParamPair[_]*): ImageAssembler.this.type
    Attributes
    protected
    Definition Classes
    Params
  59. final def setDefault[T](param: Param[T], value: T): ImageAssembler.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  60. def setInputCol(value: String): ImageAssembler.this.type

    Input text column for processing

  61. final def setOutputCol(value: String): ImageAssembler.this.type

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  62. def setTextCol(value: String): ImageAssembler.this.type

    Input text column for processing

  63. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  64. val textCol: Param[String]

    Input text column for processing

  65. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  66. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    ImageAssembler → Transformer
  67. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  68. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  69. 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
  70. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  71. val uid: String
    Definition Classes
    ImageAssembler → Identifiable
  72. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  73. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  74. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  75. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

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 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

Members

Parameter setters

Parameter getters