Packages

t

com.johnsnowlabs.nlp

HasImageFeatureProperties

trait HasImageFeatureProperties extends ParamsAndFeaturesWritable

example of required parameters

{
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "ViTFeatureExtractor",
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"resample": 2,
"size": 224
}
Linear Supertypes
ParamsAndFeaturesWritable, HasFeatures, Params, Serializable, Identifiable, DefaultParamsWritable, MLWritable, AnyRef, Any
Known Subclasses
BLIPForQuestionAnswering, CLIPForZeroShotClassification, ConvNextForImageClassification, Florence2Transformer, Gemma3ForMultiModal, InternVLForMultiModal, JanusForMultiModal, LLAVAForMultiModal, MLLamaForMultimodal, PaliGemmaForMultiModal, Phi3Vision, Qwen2VLTransformer, SmolVLMTransformer, SwinForImageClassification, ViTForImageClassification, VisionEncoderDecoderForImageCaptioning, E5VEmbeddings
Ordering
  1. Grouped
  2. Alphabetic
  3. By Inheritance
Inherited
  1. HasImageFeatureProperties
  2. ParamsAndFeaturesWritable
  3. HasFeatures
  4. Params
  5. Serializable
  6. Identifiable
  7. DefaultParamsWritable
  8. MLWritable
  9. AnyRef
  10. Any
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Visibility
  1. Public
  2. Protected

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params
    Definition Classes
    Params
  2. abstract val uid: String
    Definition Classes
    Identifiable

Concrete 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. def $$[T](feature: StructFeature[T]): T
    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]
    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. final def clear(param: Param[_]): HasImageFeatureProperties.this.type
    Definition Classes
    Params
  11. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
  12. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. val doNormalize: BooleanParam

    Whether or not to normalize the input with mean and standard deviation

  15. val doResize: BooleanParam

    Whether to resize the input to a certain size

  16. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  18. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  19. def explainParams(): String
    Definition Classes
    Params
  20. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  21. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  22. val featureExtractorType: Param[String]

    Name of model's architecture for feature extraction

  23. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  24. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  25. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  26. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  27. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  28. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  29. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  30. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  31. def getDoNormalize: Boolean

  32. def getDoResize: Boolean

  33. def getFeatureExtractorType: String

  34. def getImageMean: Array[Double]

  35. def getImageStd: Array[Double]

  36. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  37. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  38. def getResample: Int

  39. def getSize: Int

  40. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  41. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  42. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  43. val imageMean: DoubleArrayParam

    The sequence of means for each channel, to be used when normalizing images

  44. val imageStd: DoubleArrayParam

    The sequence of standard deviations for each channel, to be used when normalizing images

  45. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  46. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  47. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  48. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  49. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  50. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  51. def onWrite(path: String, spark: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesWritable
  52. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  53. val resample: IntParam

    An optional resampling filter.

    An optional resampling filter. This can be one of PIL.Image.NEAREST, PIL.Image.BOX, PIL.Image.BILINEAR, PIL.Image.HAMMING, PIL.Image.BICUBIC or PIL.Image.LANCZOS. Only has an effect if do_resize is set to True

  54. 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")
  55. def set[T](feature: StructFeature[T], value: T): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  56. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  57. def set[T](feature: SetFeature[T], value: Set[T]): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  58. def set[T](feature: ArrayFeature[T], value: Array[T]): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  59. final def set(paramPair: ParamPair[_]): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    Params
  60. final def set(param: String, value: Any): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    Params
  61. final def set[T](param: Param[T], value: T): HasImageFeatureProperties.this.type
    Definition Classes
    Params
  62. def setDefault[T](feature: StructFeature[T], value: () => T): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  63. def setDefault[K, V](feature: MapFeature[K, V], value: () => Map[K, V]): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  64. def setDefault[T](feature: SetFeature[T], value: () => Set[T]): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  65. def setDefault[T](feature: ArrayFeature[T], value: () => Array[T]): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  66. final def setDefault(paramPairs: ParamPair[_]*): HasImageFeatureProperties.this.type
    Attributes
    protected
    Definition Classes
    Params
  67. final def setDefault[T](param: Param[T], value: T): HasImageFeatureProperties.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  68. def setDoNormalize(value: Boolean): HasImageFeatureProperties.this.type

  69. def setDoResize(value: Boolean): HasImageFeatureProperties.this.type

  70. def setFeatureExtractorType(value: String): HasImageFeatureProperties.this.type

  71. def setImageMean(value: Array[Double]): HasImageFeatureProperties.this.type

  72. def setImageStd(value: Array[Double]): HasImageFeatureProperties.this.type

  73. def setResample(value: Int): HasImageFeatureProperties.this.type

  74. def setSize(value: Int): HasImageFeatureProperties.this.type

  75. val size: IntParam

    Resize the input to the given size.

    Resize the input to the given size. If a tuple is provided, it should be (width, height). If only an integer is provided, then the input will be resized to (size, size). Only has an effect if do_resize is set to True.

  76. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  77. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  78. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  79. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  80. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  81. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from Params

Inherited from Serializable

Inherited from Identifiable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped