TextFeature

Value Members

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(text: String, label: Int, uri: String): TextFeature

   

   Create a TextFeature with label and uri.

   Create a TextFeature with label and uri. It is recommended that label starts from 0.

5. def apply(text: String, label: Int): TextFeature

   

   Create a TextFeature with label.

   Create a TextFeature with label. It is recommended that label starts from 0.

6. def apply(text: String, uri: String = null): TextFeature

   

   Create a TextFeature without label.

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. val indexedTokens: String

    

    Key for the indices corresponding to the tokens after performing word2idx.

    Key for the indices corresponding to the tokens after performing word2idx. Value should be an array of Float.

15. final def isInstanceOf[T0]: Boolean

    

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16. val label: String

    

    Key for the label for the original text content.

    Key for the label for the original text content. Value should be an integer.

17. val logger: Logger

    

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

    

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19. final def notify(): Unit

    

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20. final def notifyAll(): Unit

    

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21. val predict: String

    

    Key for the text prediction result.

    Key for the text prediction result. Value should be a BigDL Tensor.

22. val sample: String

    

    Key for the sample (feature and label if any).

    Key for the sample (feature and label if any). Value should be a BigDL Sample[Float].

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

    

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24. val text: String

    

    Key for the original text content.

    Key for the original text content. Value should be a String.

25. def toString(): String

    

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26. val tokens: String

    

    Key for the tokens after doing tokenization (or other token-based transformation such as normalization) on the original text.

    Key for the tokens after doing tokenization (or other token-based transformation such as normalization) on the original text. Value should be an array of String.

27. val uri: String

    

    Key for the identifier of the TextFeature.

    Key for the identifier of the TextFeature. It can be the id of the text in your corpus or the uri of the file. Value should be a String.

28. final def wait(): Unit

    

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

    

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

    

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