NegTrain
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Addestramento tramite campionamento negativo.
Costanti
| Corda | OP_NAME | Il nome di questa operazione, come noto al motore principale di TensorFlow |
Metodi ereditati
Dalla classe java.lang.Object | booleano | è uguale a (Oggetto arg0) |
| Classe finale<?> | getClass () |
| int | codice hash () |
| vuoto finale | notificare () |
| vuoto finale | notificaTutti () |
| Corda | accordare () |
| vuoto finale | attendere (lungo arg0, int arg1) |
| vuoto finale | aspetta (lungo arg0) |
| vuoto finale | Aspettare () |
Costanti
Stringa finale statica pubblica OP_NAME
Il nome di questa operazione, come noto al motore principale di TensorFlow
Valore costante: "NegTrain"
Metodi pubblici
Metodo factory per creare una classe che racchiude una nuova operazione NegTrain.
Parametri
| scopo | ambito attuale |
|---|
| vincita | incorporamento delle parole di input. |
|---|
| wOut | incorporamento delle parole di output. |
|---|
| esempi | Un vettore di ID di parole. |
|---|
| etichette | Un vettore di ID di parole. |
|---|
| vocabCount | Conteggio delle parole nel vocabolario. |
|---|
| numNegativeSamples | Numero di campioni negativi per esempio. |
|---|
ritorna
- una nuova istanza di NegTrain
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-25 UTC.
[null,null,["Ultimo aggiornamento 2025-07-25 UTC."],[],[],null,["# NegTrain\n\npublic final class **NegTrain** \nTraining via negative sampling. \n\n### Constants\n\n|--------|------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/train/NegTrain#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [NegTrain](/jvm/api_docs/java/org/tensorflow/op/train/NegTrain) | [create](/jvm/api_docs/java/org/tensorflow/op/train/NegTrain#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TInt32\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TInt32\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e, java.util.List\u003cjava.lang.Long\u003e, java.lang.Long))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e wIn, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e wOut, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt32](/jvm/api_docs/java/org/tensorflow/types/TInt32)\\\u003e examples, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt32](/jvm/api_docs/java/org/tensorflow/types/TInt32)\\\u003e labels, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e lr, List\\\u003cLong\\\u003e vocabCount, Long numNegativeSamples) Factory method to create a class wrapping a new NegTrain operation. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"NegTrain\"\n\nPublic Methods\n--------------\n\n#### public static [NegTrain](/jvm/api_docs/java/org/tensorflow/op/train/NegTrain)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e wIn, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e wOut, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt32](/jvm/api_docs/java/org/tensorflow/types/TInt32)\\\u003e examples, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt32](/jvm/api_docs/java/org/tensorflow/types/TInt32)\\\u003e labels, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e lr, List\\\u003cLong\\\u003e vocabCount, Long numNegativeSamples)\n\nFactory method to create a class wrapping a new NegTrain operation. \n\n##### Parameters\n\n| scope | current scope |\n| wIn | input word embedding. |\n| wOut | output word embedding. |\n| examples | A vector of word ids. |\n| labels | A vector of word ids. |\n| vocabCount | Count of words in the vocabulary. |\n| numNegativeSamples | Number of negative samples per example. |\n|--------------------|-----------------------------------------|\n\n##### Returns\n\n- a new instance of NegTrain"]]
