NegTrain
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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Pelatihan melalui pengambilan sampel negatif.
Konstanta
| Rangkaian | OP_NAME | Nama operasi ini dikenal dengan mesin inti TensorFlow |
Metode Warisan
Dari kelas java.lang.Object | boolean | sama dengan (Objek arg0) |
| Kelas terakhir<?> | dapatkan Kelas () |
| ke dalam | Kode hash () |
| kekosongan terakhir | memberitahu () |
| kekosongan terakhir | beri tahuSemua () |
| Rangkaian | keString () |
| kekosongan terakhir | tunggu (arg0 panjang, int arg1) |
| kekosongan terakhir | tunggu (argumen panjang0) |
| kekosongan terakhir | Tunggu () |
Konstanta
String akhir statis publik OP_NAME
Nama operasi ini dikenal dengan mesin inti TensorFlow
Nilai Konstan: "NegTrain"
Metode Publik
pembuatan NegTrain statis publik ( Lingkup cakupan , Operan < TFloat32 > menang, Operan < TFloat32 > tanpa, contoh Operan < TInt32 >, label Operan < TInt32 >, Operan < TFloat32 > lr, Daftar<Panjang> vocabCount, Jumlah Sampel Negatif yang Panjang)
Metode pabrik untuk membuat kelas yang membungkus operasi NegTrain baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| menang | penyematan kata masukan. |
|---|
| tanpa | penyematan kata keluaran. |
|---|
| contoh | Vektor id kata. |
|---|
| label | Vektor id kata. |
|---|
| jumlah kosakata | Hitungan kata dalam kosa kata. |
|---|
| numSampel Negatif | Jumlah sampel negatif per contoh. |
|---|
Kembali
- contoh baru dari NegTrain
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-25 UTC.
[null,null,["Terakhir diperbarui pada 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"]]
