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Personalize 엔드포인트 및 할당량
다음 단원에는 Personalize 지침, 할당량 및 엔드포인트에 관한 정보가 포함되어 있습니다. 조정 가능한 할당량의 경우 Service Quotas 콘솔
Personalize 엔드포인트 및 리전
리전별 Personalize 엔드포인트 목록은 Web Services 일반 참조의 AWS 리전 및 엔드포인트 단원을 참조하세요.
규정 준수
Personalize 규정 준수 프로그램에 대한 자세한 내용은 AWS 규정 준수
Service quotas
AWS 계정에는 Personalize에 대한 다음과 같은 할당량이 있습니다.
| 리소스 | 할당량 |
|---|---|
| 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 |
| For User-Personalization-v2 and Personalized-Ranking-v2 recipes, the maximum number of item interactions that are considered by a model during training. | 3 billion |
| For all domain use cases and custom recipes other than User-Personalization-v2 or Personalized-Ranking-v2, the 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 모델에서 고려한 항목 상호 작용) |
| 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 | |
| For User-Personalization-v2 or Personalized-Ranking-v2, the maximum number of items that are considered by a model during training. These items are from both the Items and Item interactions dataset. | 5 million |
| For all domain use cases and custom recipes other than User-Personalization-v2 and Personalized-Ranking-v2, the 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 and non-categorical string 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 모델에서 고려한 작업 항목 상호 작용) |
| 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. | 30 (adjustable) |
| Maximum number of distinct dataset fields for a filter. | 10 |
| Total number of distinct dataset fields across all filters in a dataset group. | 20 |
| 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 input files for a batch segment job. | 1000 |
| Maximum size of batch segment job input. | 1 GB |
| 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 |
| Data deletion jobs | |
| Maximum number of data deletion jobs for a dataset group with a status of PENDING. | 5 (adjustable) |
| Maximum total size of your data deletion input file or files | 100 MB |
AWS 계정에는 각 리전에 대해 다음과 같은 할당량이 있습니다.
| 리소스 | 할당량 |
|---|---|
| 총 활성 스키마 수. | 500 |
| 총 활성 데이터세트 그룹 수. | 5(조정 가능) |
| 보류 중이거나 진행 중인 데이터세트 가져오기 작업의 총 수. | 5 |
| 보류 중이거나 진행 중인 배치 추론 작업의 총 수. | 5(조정 가능) |
| 보류 중이거나 진행 중인 배치 세그먼트 작업의 총 수. | 5 |
| 보류 중이거나 진행 중인 솔루션 버전의 총 수. | 20(조정 가능) |
각 데이터세트 그룹에는 다음과 같은 할당량이 있습니다.
| 리소스 | 할당량 |
|---|---|
| 총 활성 솔루션 수. | 10(조정 가능) |
| 총 활성 캠페인 수. | 5(조정 가능) |
| 총 추천자 수. | 5 |
| 총 필터 수. | 30(조정 가능) |
| 모든 필터 간 개별 데이터세트 필드의 총 수. | 20 |
| 상태가 PENDING인 데이터세트 그룹의 총 데이터 삭제 작업 수입니다. | 5 |
할당량 증가 요청
조정 가능한 할당량의 경우 Service Quotas 콘솔
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교육 중 하나의 모델에서 고려되는 최대 항목 상호 작용 수.
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데이터세트 그룹별 활성 캠페인
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활성 데이터세트 그룹
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데이터세트 그룹당 활성 필터
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데이터세트 그룹당 활성 솔루션
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증분 가져오기당 데이터 양
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필터에서 고려하는 이벤트 유형별 사용자당 최대 항목 상호 작용 수
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보류 중이거나 진행 중인 배치 추론 작업의 총 수
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보류 중이거나 진행 중인 솔루션 버전의 총 수
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최대
PutEvents또는PutActionInteraction요청 속도
Service Quotas 콘솔
