本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。
Neptune ML Gremlin 推論查詢的例外狀況清單
這是執行 Neptune ML Gremlin 推論查詢時可能發生的例外狀況完整清單。這些例外狀況涵蓋一系列問題，從指定 IAM 角色或端點的問題，到每個查詢的 ML 推論查詢數量不受支援的 Gremlin 步驟和限制。每個項目都包含描述問題的詳細訊息。
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BadRequestException– 無法載入所提供角色的憑證。訊息：
Unable to load credentials for role:the specified IAM Role ARN. -
BadRequestException– 指定的 IAM 角色無權叫用 SageMaker AI 端點。訊息：
User:the specified IAM Role ARNis not authorized to perform: sagemaker:InvokeEndpoint on resource:the specified endpoint. -
BadRequestException– 指定的端點不存在。訊息：
Endpointthe specified endpointnot found. -
InternalFailureException– 無法從 Amazon S3 擷取 Neptune ML 即時歸納推論中繼資料。訊息：
Unable to fetch Neptune ML - Real-Time Inductive Inference metadata from S3. Check the permissions of the S3 bucket or if the Neptune instance can connect to S3. -
InternalFailureException– Neptune ML 無法在 Amazon S3 中找到用於即時歸納推論的中繼資料檔案。訊息：
Neptune ML cannot find the metadata file for Real-Time Inductive Inference in S3. -
InvalidParameterException– 指定的端點在語法上無效。訊息：
Invalid endpoint provided for external service query. -
InvalidParameterException– 指定的 SageMaker 執行 IAM 角色 ARN 在語法上無效。訊息：
Invalid IAM role ARN provided for external service query. -
InvalidParameterException– 在查詢的properties()步驟中指定多個屬性索引鍵。訊息：
ML inference queries are currently supported for one property key. -
InvalidParameterException– 在查詢中指定多個邊緣標籤。訊息：
ML inference are currently supported only with one edge label. -
InvalidParameterException– 在查詢中指定多個頂點標籤限制條件。訊息：
ML inference are currently supported only with one vertex label constraint. -
InvalidParameterException–Neptune#ml.classification和Neptune#ml.regression述詞都存在於相同的查詢中。訊息：
Both regression and classification ML predicates cannot be specified in the query. -
InvalidParameterException– 已在連結預測查詢的in()或out()步驟中指定多個邊緣標籤。訊息：
ML inference are currently supported only with one edge label. -
InvalidParameterException– 已使用 Neptune#ml.score 指定多個屬性索引鍵。訊息：
Neptune ML inference queries are currently supported for one property key and one Neptune#ml.score property key. -
MissingParameterException– 未在查詢中指定端點，或未將其指定為資料庫叢集參數。訊息：
No endpoint provided for external service query. -
MissingParameterException – 未在查詢中指定 SageMaker AI 執行 IAM 角色，或將其指定為資料庫叢集參數。訊息：
No IAM role ARN provided for external service query. -
MissingParameterException– 查詢中的properties()步驟遺失內容索引鍵。訊息：
Property key needs to be specified using properties() step for ML inference queries. -
MissingParameterException– 未在連結預測查詢的in()或out()步驟中指定任何邊緣標籤。訊息：
Edge label needs to be specified while using in() or out() step for ML inference queries. -
MissingParameterException– 未使用 Neptune#ml.score 指定屬性索引鍵。訊息：
Property key needs to be specified along with Neptune#ml.score property key while using the properties() step for Neptune ML inference queries. -
UnsupportedOperationException–both()步驟用於連結預測查詢中。訊息：
ML inference queries are currently not supported with both() step. -
UnsupportedOperationException– 未在has()步驟以及連結預測查詢中的in()或out()步驟中指定預測的頂點標籤。訊息：
Predicted vertex label needs to be specified using has() step for ML inference queries. -
UnsupportedOperationException– 未最佳化的步驟目前不支援 Gremlin ML 歸納推論查詢。訊息：
Neptune ML - Real-Time Inductive Inference queries are currently not supported with Gremlin steps which are not optimized for Neptune. Check the Neptune User Guide for a list of Neptune-optimized steps. -
UnsupportedOperationException–repeat步驟內目前不支援 Neptune ML 推論查詢。訊息：
Neptune ML inference queries are currently not supported inside a repeat step. -
UnsupportedOperationException– 每個 Grinlin 查詢目前不支援多個 Neptune ML 推論查詢。訊息：
Neptune ML inference queries are currently supported only with one ML inference query per gremlin query.
