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Amazon Personalize エンドポイントとクォータ
次のセクションには、Amazon Personalize のガイドライン、クォータ、およびエンドポイントに関する情報が含まれています。調整可能なクォータの場合、Service Quotas コンソール
Amazon Personalize のエンドポイントとリージョン
リージョンごとの Amazon Personalize のエンドポイントのリストについては、アマゾン ウェブ サービスの全般のリファレンスの「AWS リージョンとエンドポイント」を参照してください。
コンプライアンス
Amazon Personalize のコンプライアンスプログラムの詳細については、「AWS コンプライアンス
Service Quotas
AWS アカウントには、Amazon Personalize の次のクォータがあります。
| リソース | クォータ |
|---|---|
| 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 モデルによって考慮されるアイテムインタラクション) |
| 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 モデルによって考慮されるアクションアイテムインタラクション) |
| 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 アカウントには、リージョンごとに次のクォータがあります。
| リソース | クォータ |
|---|---|
| アクティブなスキーマの総数。 | 500 |
| アクティブなデータセットグループの総数。 | 5 (調整可能) |
| 保留中または進行中のデータセットのインポートジョブの合計数。 | 5 |
| 保留中または進行中のバッチ推論ジョブの総数。 | 5 (調整可能) |
| 保留中または進行中のバッチセグメントジョブの総数。 | 5 |
| 保留中または進行中のソリューションバージョンの総数。 | 20 (調整可能) |
各データセットグループには、以下のクォータがあります。
| リソース | クォータ |
|---|---|
| アクティブなソリューションの総数。 | 10 (調整可能) |
| アクティブなキャンペーンの総数。 | 5 (調整可能) |
| レコメンダーの総数。 | 5 |
| フィルターの総数。 | 30 (調整可能) |
| すべてのフィルターにわたる個別のデータセットフィールドの総数。 | 20 |
| ステータスが PENDING のデータセットグループのデータ削除ジョブの合計数。 | 5 |
クォータ引き上げのリクエスト
調整可能なクォータの場合、Service Quotas コンソール
-
トレーニング時にモデルで検討されるアイテムインタラクションの最大数。
-
データセットグループごとのアクティブなキャンペーン
-
アクティブなデータセットグループ
-
データセットグループごとのアクティブなフィルター
-
データセットグループごとのアクティブなソリューション
-
増分インポートごとのデータ量。
-
フィルターで考慮されるユーザーごと、イベントタイプごとの最大アイテムインタラクション数。
-
保留中または進行中のバッチ推論ジョブの総数
-
保留中または進行中のソリューションバージョンの総数
-
PutEventsまたはPutActionInteractionリクエストの最大レート
クォータの引き上げをリクエストするには、Service Quotas コンソール
