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1.  final def !=(arg0: Any): Boolean

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4.  val GenericClassifier: DenseClassifierGraphFamily

   Multi layer perceptron, softmax output, cross entropy loss.

   Multi layer perceptron, softmax output, cross entropy loss. Used by GenericClassifier, RelationExtraction and FewShotAssertionClassifier.

5.  val LogRegClassifier: DenseClassifierGraphFamily

   Multinomial logistic regression: no hidden layer, sigmoid output, cross entropy loss.

   Multinomial logistic regression: no hidden layer, sigmoid output, cross entropy loss. Used by GenericLogRegClassifier and FewShotClassifier.

6.  val SVMClassifier: DenseClassifierGraphFamily

   Support vector machine: no hidden layer, sigmoid output, hinge loss.

   Support vector machine: no hidden layer, sigmoid output, hinge loss. Used by GenericSVMClassifier.

7.  final def asInstanceOf[T0]: T0

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