BoostedTreesMakeQuantileSummaries
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Enregistrez et classez les contenus selon vos préférences.
Fait le résumé des quantiles pour le lot.
Une opération qui prend une liste de tenseurs (un tenseur par caractéristique) et génère les résumés de quantile pour chaque tenseur.
Constantes
| Chaîne | OP_NAME | Le nom de cette opération, tel que connu par le moteur principal TensorFlow |
Méthodes héritées
De la classe java.lang.Object | booléen | est égal à (Objet arg0) |
| Classe finale<?> | obtenirClasse () |
| int | Code de hachage () |
| vide final | notifier () |
| vide final | notifierTous () |
| Chaîne | àChaîne () |
| vide final | attendre (long arg0, int arg1) |
| vide final | attendez (long arg0) |
| vide final | attendez () |
Depuis l'interface java.lang.Iterable | vide abstrait | forEach (Consommateur <? super T> arg0) |
| Itérateur abstrait < Opérande < TFloat32 >> | itérateur () |
| Spliterator abstrait < Opérande < TFloat32 >> | séparateur () |
Constantes
chaîne finale statique publique OP_NAME
Le nom de cette opération, tel que connu par le moteur principal TensorFlow
Valeur constante : "BoostedTreesMakeQuantileSummaries"
Méthodes publiques
Méthode d'usine pour créer une classe encapsulant une nouvelle opération BoostedTreesMakeQuantileSummaries.
Paramètres
| portée | portée actuelle |
|---|
| Valeurs flottantes | flotter; Liste des tenseurs de rang 1 contenant chacun des valeurs pour une seule fonctionnalité. |
|---|
| exemplePoids | flotter; Tenseur de rang 1 avec poids par instance. |
|---|
| épsilon | flotter; L'erreur d'approximation maximale requise. |
|---|
Retour
- une nouvelle instance de BoostedTreesMakeQuantileSummaries
liste publique < Sortie < TFloat32 >> résumés ()
flotter; Liste des tenseurs de rang 2 contenant chacun le résumé du quantile (valeur, poids, min_rank, max_rank) d'une seule fonctionnalité.
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/28 (UTC).
[null,null,["Dernière mise à jour le 2025/07/28 (UTC)."],[],[],null,["# BoostedTreesMakeQuantileSummaries\n\npublic final class **BoostedTreesMakeQuantileSummaries** \nMakes the summary of quantiles for the batch.\n\n\nAn op that takes a list of tensors (one tensor per feature) and outputs the\nquantile summaries for each tensor.\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/estimator/BoostedTreesMakeQuantileSummaries#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [BoostedTreesMakeQuantileSummaries](/jvm/api_docs/java/org/tensorflow/op/estimator/BoostedTreesMakeQuantileSummaries) | [create](/jvm/api_docs/java/org/tensorflow/op/estimator/BoostedTreesMakeQuantileSummaries#create(org.tensorflow.op.Scope, java.lang.Iterable\u003corg.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e floatValues, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e exampleWeights, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e epsilon) Factory method to create a class wrapping a new BoostedTreesMakeQuantileSummaries operation. |\n| Iterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e | [iterator](/jvm/api_docs/java/org/tensorflow/op/estimator/BoostedTreesMakeQuantileSummaries#iterator())() |\n| List\\\u003c[Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e | [summaries](/jvm/api_docs/java/org/tensorflow/op/estimator/BoostedTreesMakeQuantileSummaries#summaries())() float; List of Rank 2 Tensors each containing the quantile summary (value, weight, min_rank, max_rank) of a single feature. |\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\nFrom interface java.lang.Iterable \n\n|----------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------|\n| abstract void | forEach(Consumer\\\u003c? super T\\\u003e arg0) |\n| abstract Iterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e | iterator() |\n| abstract Spliterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e | spliterator() |\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: \"BoostedTreesMakeQuantileSummaries\"\n\nPublic Methods\n--------------\n\n#### public static [BoostedTreesMakeQuantileSummaries](/jvm/api_docs/java/org/tensorflow/op/estimator/BoostedTreesMakeQuantileSummaries)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e floatValues, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e exampleWeights, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e epsilon)\n\nFactory method to create a class wrapping a new BoostedTreesMakeQuantileSummaries operation. \n\n##### Parameters\n\n| scope | current scope |\n| floatValues | float; List of Rank 1 Tensors each containing values for a single feature. |\n| exampleWeights | float; Rank 1 Tensor with weights per instance. |\n| epsilon | float; The required maximum approximation error. |\n|----------------|----------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of BoostedTreesMakeQuantileSummaries \n\n#### public Iterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e\n**iterator**\n()\n\n\u003cbr /\u003e\n\n#### public List\\\u003c[Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\\\u003e\n**summaries**\n()\n\nfloat; List of Rank 2 Tensors each containing the quantile summary\n(value, weight, min_rank, max_rank) of a single feature."]]
