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Amazon Personalize 端点和限额
以下各节包含有关 Amazon Personalize 准则、限额和端点的信息。对于可调整限额,您可以使用服务限额控制台
Amazon Personalize 端点和区域
有关按区域划分的 Amazon Personalize 端点的列表,请参阅《Amazon Web Services 一般参考》中的 Amazon 区域和端点。
合规
有关 Amazon Personalize 合规性计划的信息,请参阅 Amazon 合规性
服务限额
您的 Amazon 账户具有以下 Amazon Personalize 限额。
资源 | 限额 |
---|---|
Item interactions | |
Minimum number of unique item interactions required to create a solution version or recommender. For a custom solution, you must have this many records after any filtering by event type or event value before training. | 1000 |
Maximum number of item 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 an Item interactions dataset. | 10 |
Maximum number of metadata columns, excluding reserved fields, in an Item interactions dataset. | 5 |
Maximum number of characters for categorical data and impression values. | 1000 |
Maximum amount of bulk item interactions data per dataset import job with FULL import mode. | 100 GB (increases to 1TB with any increase to 模型考虑的物品交互) |
Maximum amount of bulk item interactions data per dataset import job with INCREMENTAL import mode. | 1 GB |
Minimum number of item interactions records per dataset import job with FULL or INCREMENTAL import mode. | 1000 |
Users | |
Minimum number of unique users in item interactions data, with at minimum 2 item interactions each, required to create a domain recommender or custom solution version. | 25 |
Minimum percentage of total users that must have at minimum 2 item interactions or more before you can create a domain recommender or custom solution version. | 1 percent |
Maximum number of metadata fields for a Users dataset. | 25 |
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. | 100 |
Maximum number of characters for ITEM_ID data values. | 256 |
Maximum number of characters for categorical data values. | 1000 characters |
Maximum number of textual fields for an Items dataset. | 1 |
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 |
Actions | |
Maximum number of actions that are considered by a model during training and generating recommendations. | 1000 |
Maximum number of metadata fields for an Actions dataset. | 10 |
Maximum number of characters for ACTION_ID data values. | 256 |
Maximum number of characters for categorical data values. | 1000 characters |
Maximum amount of bulk actions data per dataset import job with BULK import mode. | 100 GB |
Maximum amount of bulk actions data per dataset import job with INCREMENTAL import mode. | 1 GB |
Action interactions | |
Maximum number of action interactions that are considered by a model during training. | 500 million |
Maximum number of metadata columns, excluding reserved fields, in a Action interactions dataset. | 5 |
Maximum amount of bulk interactions data per dataset import job with FULL import mode. | 100 GB (increases to 1TB with any increase to 模型考虑的操作物品交互) |
Maximum amount of bulk interactions 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 PutActionInteractions requests per dataset group. |
1000/second |
Maximum number of action interaction events in a PutActionInteractions
call. |
10 |
Maximum size of an action interaction 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 |
Maximum rate of PutActions requests per dataset group. |
10/second |
Maximum number of users in a PutActions
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 item interactions per user per event type considered by a filter. | 100 interactions (adjustable) |
Maximum number of action interactions per user per event type considered by a filter. | 300 action interactions (adjustable) |
GetRecommendations / GetPersonalizedRanking / GetActionRecommendations requests | |
Maximum transaction rate for GetRecommendations , GetActionRecommendations and
GetPersonalizedRanking requests. |
2500/sec |
Maximum number of GetRecommendations requests
per second per campaign. |
500/sec |
Maximum number of GetActionRecommendations requests
per second per campaign. |
500/sec |
Maximum number of GetPersonalizedRanking
requests per second per campaign. |
500/sec. |
Maximum number of metadata columns per GetRecommendations or GetPersonalizedRanking
request. |
10 |
Maximum number of recommendation results for a GetRecommendation request without
metadata. |
500 |
Maximum number of recommendation results for a GetRecommendation request with
metadata. |
50 |
Maximum number of items for ranking in a GetPersonalizedRanking request without
metadata. |
500 |
Maximum number of items for ranking in a GetPersonalizedRanking request with
metadata. |
50 |
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 for a batch inference job. | 1000 |
Maximum size of batch inference job input. | 1 GB |
Maximum number of records per input file for a batch inference job without themes. | 50 million |
Maximum number of records per input file for a batch inference job with themes. | 100 |
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 |
Maximum number of users per segment | 5 million |
您的 Amazon 账户针对每个区域具有以下限额。
资源 | 限额 |
---|---|
有效架构的总数。 | 500 |
有效数据集组的总数。 | 5(可调整) |
待处理或进行中的数据集导入作业总数。 | 5 |
待处理或进行中的批量推理作业总数。 | 5(可调整) |
待处理或进行中的批量细分作业总数。 | 5 |
待处理或进行中的解决方案版本总数。 | 20(可调整) |
每个数据集组具有以下限额。
资源 | 限额 |
---|---|
有效解决方案的总数。 | 10(可调整) |
有效市场活动的总数。 | 5(可调整) |
建议总数。 | 5 |
筛选器总数。 | 10(可调整) |
所有筛选器中不同数据集字段的总数。 | 10 |
请求提高限额
对于可调整限额,您可以使用服务限额控制台
-
模型在训练期间考虑的最大物品交互数。
-
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、每事件类型的最大物品交互数
-
待处理或进行中的批量推理作业总数
-
待处理或进行中的解决方案版本总数
-
PutEvents
或PutActionInteraction
请求的最大速率
要请求增加限额,请使用服务限额控制台