Amazon Personalize 终端节点和配额 - Amazon Personalize
亚马逊对终端节点和区域进行个性化设置 ComplianceService Quotas请求增加配额
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Amazon Personalize 终端节点和配额

以下各部分包含有关Amazon Personalize 指南、配额和终端节点的信息。对于可调配额，您可以通过Service Quotas 控制台请求增加限额。有关更多信息，请参阅 请求增加配额。

亚马逊对终端节点和区域进行个性化设置

有关 Amazon Personalize 按区域列表，请参阅《A mazon Web Services 科技一般参考》中的Amazon区域和终端节点。

Compliance

有关 Amazon Personalize Amazon合规计划的信息，请参阅Amazon合规计划、合规计划和合规计划范围内的Amazon服务。

Service Quotas

您的Amazon账户具有以下Amazon Personalize 的亚马逊个性化配额。

资源 配额
Interactions
Minimum number of unique combined historical and event interactions (after filtering by eventType and eventValueThreshold, if provided) required to train a model (create a solution version). 1000
Maximum number of interactions that are considered by a model during training. 500 million (adjustable)
Maximum number of distinct event types combined with total number of optional metadata columns in Interactions datasets. 10
Maximum number of metadata columns, excluding reserved fields, in Interactions datasets. 5
Maximum number of characters for categorical data and impression values. 1000
Maximum amount of bulk interactions data per dataset import job with FULL import mode. 100 GB (increases to 1TB with any increase to 模型考虑的交互作用)
Maximum amount of bulk interactions data per dataset import job with INCREMENTAL import mode. 1 GB
Minimum number of interactions records per dataset import job with FULL or INCREMENTAL import mode. 1000
Users
Minimum number of unique users, with at least 2 interactions each, required to train a model (create a solution version). 25
Maximum number of metadata fields for a Users dataset. 5
Maximum number of characters for USER_ID data values. 256
Maximum number of characters for categorical data values. 1000 characters
Maximum amount of bulk user data per dataset import job with FULL import mode. 100 GB
Maximum amount of bulk user data per dataset import job with INCREMENTAL import mode. 1 GB
Items
Maximum number of items that are considered by a model during training and generating recommendations. 750,000
Maximum number of metadata fields for an Items dataset. 50
Maximum number of characters for ITEM_ID data values. 256
Maximum number of characters for categorical data values. 1000 characters
Maximum number of characters for textual data values for Chinese and Japanese languages. 7,000 characters
Maximum number of characters for textual data values for all other languages. 20,000 characters
Maximum amount of bulk items data per dataset import job with BULK import mode. 100 GB
Maximum amount of bulk item data per dataset import job with INCREMENTAL import mode. 1 GB
Individual record import APIs
Maximum rate of PutEvents requests per dataset group. 1000/second
Maximum number of events in a PutEvents call. 10
Maximum size of an event. 10 KB
Maximum rate of PutItems requests per dataset group. 10/second
Maximum number of items in a PutItems call. 10
Maximum rate of PutUsers requests per dataset group. 10/second
Maximum number of users in a PutUsers call. 10
Legacy recipes
Maximum amount of combined data for Users and Items datasets for HRNN-metadata and HRNN-Coldstart recipes. 5 GB
Maximum number of cold start items the HRNN-Coldstart recipe supports to train a model (create a solution version). 80000
Minimum number of cold start items the HRNN-Coldstart recipe requires to train a model (create a solution version). 100
Filters
Total number of filters per dataset group. 10
Maximum number of distinct dataset fields for a filter. 5
Total number of distinct dataset fields across all filters in a dataset group. 10
Maximum number of interactions per user per event type considered by a filter. 100 interactions (adjustable)
GetRecommendations / GetPersonalizedRanking requests
Maximum transaction rate (GetRecommendations and GetPersonalizedRanking requests). 2500/sec
Maximum number of GetRecommendations requests per second per campaign. 500/sec
Maximum number of GetPersonalizedRanking requests per second per campaign. 500/sec.
Metric attribution quotas
Maximum number of metrics for a metric attribution 10
Maximum number of unique event attribution sources 100
Batch inference jobs
Maximum number of input files in a batch inference job. 1000
Maximum size of batch inference job input. 1 GB
Maximum number of records per input file in a batch inference job. 50 million
Batch segment jobs
Maximum number of queries per input file for Item-Affinity recipe. 500
Maximum number of queries per input file for Item-Attribute-Affinity recipe. 10

您的Amazon账户具有以下各区域配额。

资源 配额
有效架构的总数。 500
有效数据集组的总数。 5（可调）
待处理或正在进行的数据集导入任务总数。 5
待处理或进行中的批量推理任务总数。 5（可调）
待处理或正在进行的批处理分段作业总数。 5
待处理或正在处理的解决方案版本总数。 20（可调节）

每个数据集组具有以下配额。

资源 配额
有效解决方案的总数。 10（可调节）
有效市场活动的总数。 5（可调）
推荐人总数。 5
筛选条件总数。 10（可调节）
所有过滤器中不同数据集字段的总数。 10

请求增加配额

对于可调配额，您可以使用服务限额控制台请求增加限额。以下Amazon Personalize 配额可调：

  • 模型在训练期间考虑的最大交互数。

  • 每个数据集组的有效活动数

  • 活动数据集组数

  • 每个数据集组的有效筛选条件数

  • 每个数据集组的有效解决方案数

  • 每次增量导入的数据量

  • 一个筛选条件可以考虑的每用户每事件类型最大互动数

  • 待处理或正在进行的批量推理作业总数

  • 待处理或正在处理的解决方案版本总数

  • 最大PutEvents请求速率

要申请增加配额，请使用Serv ice Quotas 控制台并按照《Service Qu otas 用户指南》的 “申请增加配额” 部分中的步骤进行操作。