NNClassifier

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1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def apply[F, T](model: Module[T], criterion: Criterion[T], featurePreprocessing: Preprocessing[F, Tensor[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): NNClassifier[T]

   

   Construct a NNClassifier with a feature Preprocessing.

   Construct a NNClassifier with a feature Preprocessing.

   model

   BigDL module to be optimized

   criterion

   BigDL criterion method

   featurePreprocessing

   Preprocessing[F, Tensor[T] ].

5. def apply[T](model: Module[T], criterion: Criterion[T], featureSize: Array[Int])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): NNClassifier[T]

   

   Construct a NNClassifier with a feature size.

   Construct a NNClassifier with a feature size. The constructor is useful when the feature column contains the following data types: Float, Double, Int, Array[Float], Array[Double], Array[Int] and MLlib Vector. The feature data are converted to Tensors with the specified sizes before sending to the model.

   model

   BigDL module to be optimized

   criterion

   BigDL criterion method

   featureSize

   The size (Tensor dimensions) of the feature data. e.g. an image may be with width * height = 28 * 28, featureSize = Array(28, 28).

6. def apply[T](model: Module[T], criterion: Criterion[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): NNClassifier[T]

   

   Construct a NNClassifier with default Preprocessing, SeqToTensor

   Construct a NNClassifier with default Preprocessing, SeqToTensor

   model

   BigDL module to be optimized

   criterion

   BigDL criterion method

7. final def asInstanceOf[T0]: T0

   

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8. def clone(): AnyRef

   

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9. final def eq(arg0: AnyRef): Boolean

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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12. final def getClass(): Class[_]

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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15. final def ne(arg0: AnyRef): Boolean

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. final def synchronized[T0](arg0: ⇒ T0): T0

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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21. final def wait(arg0: Long, arg1: Int): Unit

    

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22. final def wait(arg0: Long): Unit

    

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