本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。
Neptune ML Gremlin 推理查询的例外清单
-
BadRequestException— 无法加载所提供角色的凭据。消息：
Unable to load credentials for role:the specified IAM Role ARN. -
BadRequestException— 指定的 IAM 角色未授权调用 SageMaker 终端节点。消息：
User:the specified IAM Role ARNis not authorized to perform: sagemaker:InvokeEndpoint on resource:the specified endpoint. -
BadRequestException— 指定的终端节点不存在。消息：
Endpointthe specified endpointnot found. -
InvalidParameterException— 指定的终端节点在语法上无效。消息：
Invalid endpoint provided for external service query. -
InvalidParameterException— 指定的 SageMaker 执行 IAM 角色 ARN 在语法上无效。消息：
Invalid IAM role ARN provided for external service query. -
InvalidParameterException— 在properties()在查询中步骤。消息：
ML inference queries are currently supported for one property key. -
InvalidParameterException— 在查询中指定了多个边缘标签。消息：
ML inference are currently supported only with one edge label. -
InvalidParameterException— 在查询中指定了多个顶点标签约束。消息：
ML inference are currently supported only with one vertex label constraint. -
InvalidParameterException— 二者Neptune#ml.classification和Neptune#ml.regression谓词出现在同一个查询中。消息：
Both regression and classification ML predicates cannot be specified in the query. -
InvalidParameterException— 在in()要么out()在链接预测查询中步骤。消息：
ML inference are currently supported only with one edge label. -
InvalidParameterException— 使用 Neptune #ml .score 指定了多个属性密钥。消息：
Neptune ML inference queries are currently supported for one property key and one Neptune#ml.score property key. -
MissingParameterException— 终端节点未在查询中指定，也未指定为数据库集群参数。消息：
No endpoint provided for external service query. -
MissingParameterException— SageMaker 执行 IAM 角色未在查询中指定，也未指定为数据库集群参数。消息：
No IAM role ARN provided for external service query. -
MissingParameterException— 属性密钥从properties()在查询中步骤。消息：
Property key needs to be specified using properties() step for ML inference queries. -
MissingParameterException— 在in()要么out()链接预测查询的步骤。消息：
Edge label needs to be specified while using in() or out() step for ML inference queries. -
MissingParameterException— 没有使用 Neptune #ml .score 指定属性密钥。消息：
Property key needs to be specified along with Neptune#ml.score property key while using the properties() step for Neptune ML inference queries. -
UnsupportedOperationException— 该both()step 在链接预测查询中使用。消息：
ML inference queries are currently not supported with both() step. -
UnsupportedOperationException— 在has()跟in()要么out()在链接预测查询中步骤。消息：
Predicted vertex label needs to be specified using has() step for ML inference queries.