Aprenda o que há de mais recente em aprendizado de máquina, IA generativa e muito mais no WiML Symposium 2023
Registre-se
Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
tensorflow :: ops :: Igammac
#include <math_ops.h> Calcule a função Gamma incompleta regularizada superior Q(a, x) .
Resumo
A função Gamma regularizada superior incompleta é definida como:
\(Q(a, x) = Gamma(a, x) / Gamma(a) = 1 - P(a, x)\)
Onde
\(Gamma(a, x) = int_{x}^{} t^{a-1} exp(-t) dt\)
é a função Gama incompleta superior.
Observe que acima de P(a, x) ( Igamma ) está a função Gama completa regularizada inferior.
Argumentos:
Retorna:
Atributos públicos
Funções públicas
nó
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador :: tensorflow :: Saída
operator::tensorflow::Output() const
Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2020-04-20 UTC.
[null,null,["Última atualização 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::Igammac Class Reference\n\ntensorflow::ops::Igammac\n========================\n\n`#include \u003cmath_ops.h\u003e`\n\nCompute the upper regularized incomplete Gamma function `Q(a, x)`.\n\nSummary\n-------\n\nThe upper regularized incomplete Gamma function is defined as:\n\n\\\\(Q(a, x) = Gamma(a, x) / Gamma(a) = 1 - P(a, x)\\\\)\n\nwhere\n\n\\\\(Gamma(a, x) = int_{x}\\^{} t\\^{a-1} exp(-t) dt\\\\)\n\nis the upper incomplete Gama function.\n\nNote, above `P(a, x)` ([Igamma](/versions/r2.1/api_docs/cc/class/tensorflow/ops/igamma#classtensorflow_1_1ops_1_1_igamma)) is the lower regularized complete Gamma function.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Igammac](#classtensorflow_1_1ops_1_1_igammac_1a867ff7332904e014a469ad6b53e02243)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_igammac_1aa8a24d8a9d7920be5ac412c1e887da50) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_igammac_1aa4377078a3d027a75db11b2b85accf8f) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_igammac_1a47a0b8542b7285a8a0041d1df02bf9be)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_igammac_1af16b9ff0899819a8d91c937f8e5846d3)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_igammac_1ae10be53b838e3e96180c7c754fbb9e5e)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### z\n\n```text\n::tensorflow::Output z\n``` \n\nPublic functions\n----------------\n\n### Igammac\n\n```gdscript\n Igammac(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input a,\n ::tensorflow::Input x\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]
