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Amazon Personalize 终端节点和配额
以下各部分包含有关 Amazon Personalize otation 准则、配额和终端节点的信息。对于可调配额,您可以使用SService Quotas a
Amazon Personalize 终端节点和区
有关按区域列出的 Amazon Personalize 化终端节点的列表,Amazon区域和终端节点中的Amazon Web Services 一般参考.
Compliance
有关 Amazon Personate 合规性计划的更多信息,请参Amazon合规
Service Quotas
您的Amazon您的账户具有以下亚马逊 Personation 配额。
资源 | 配额 |
---|---|
Interactions | |
Minimum number of unique combined historical and event interactions (after
filtering by eventType and 事件值阈值 , 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 |
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 values. | 1000 |
Maximum amount of interactions data for all recipes and use cases. | 100 GB |
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 users that are considered by a model during training. | 50 million |
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 user data for all recipes and use cases (except legacy HRNN-metadata and HRNN-coldstart recipes). | 100 GB |
Items | |
Maximum number of items that are considered by a model during training. | 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. | 20,000 characters |
Maximum amount of items data for all recipes and use cases (except legacy HRNN-metadata and HRNN-coldstart recipes). | 100 GB |
Data import APIs | |
Maximum rate of PutEvents requests. |
1000/second |
Maximum number of events in a PutEvents call. |
10 |
Maximum size of an event. | 10 KB |
Maximum rate of putItem requests. |
10/second |
Maximum number of items in a putItem call. |
10 |
Maximum rate of PutUsers requests. |
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 | |
Maximum number of filters per account. | 10 filters |
Maximum number of parameters for a filter expression. | 5 parameters |
Maximum number of parameters across all filters in a dataset group. | 10 parameters |
GetRecommendations / GetPersonalizedRanking requests | |
Maximum transaction rate (GetRecommendations and
获取个性化排名 requests). |
2500/sec |
Maximum number of GetRecommendations requests per second per
campaign. |
500/sec |
Maximum number of 获取个性化排名 requests per second per
campaign. |
500/sec |
Recommenders | |
Maximum number of recommenders per account | 5 |
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 |
您的Amazon针对 Amazon Personalize ation,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。 | 500 |
有效事件跟踪程序的总数。 | 500 |
有效解决方案的总数。 | 500 |
有效市场活动的总数。 | 5 |
待处理或正在进行的数据集导入作业总数。 | 5 |
待处理或正在进行的批量推理作业总数。 | 5 |
待处理或正在进行的解决方案版本的总数。 | 20 |
请求增加配额
对于可调配额,您可以使用SService Quotas a
-
有效市场活动的总数
-
每个账户的最大筛选器数量
-
待处理或正在进行的批量推理作业总数
-
待处理或正在进行的解决方案版本总数
-
最大速率
PutEvents
请求
要请求提高配额,请使用SService Quotas a