From 768af3c9c8d89ed977aca868eab4b219aea8f119 Mon Sep 17 00:00:00 2001 From: ruanzhengxin Date: Thu, 18 Apr 2024 17:04:59 +0800 Subject: [PATCH] Add pai plugin tmpl --- README-CN.md | 3 +- README.md | 3 +- .../discover-and-reach-high-value-users.yml | 92 +++++++++++++++++++ 3 files changed, 96 insertions(+), 2 deletions(-) create mode 100644 documents/solution/ai/discover-and-reach-high-value-users.yml diff --git a/README-CN.md b/README-CN.md index 614efc99..c52311e2 100644 --- a/README-CN.md +++ b/README-CN.md @@ -452,7 +452,8 @@ ROS 模板的示例和最佳实践。模板分类如下： | [build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml) | 基于ChatGLM和LangChain搭建对话模型。｜ [解决方案](https://www.aliyun.com/solution/tech-solution/calbadm) | | [build-a-dialogue-model-based-on-Qwen-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-Qwen-and-LangChain.yml) | 基于通义千问和LangChain搭建对话模型。 | | [ack-ai-fine-tuning.yml](documents/solution/ai/ack-ai-fine-tuning.yml) | 使用云原生AI套件提交模型微调训练任务与部署GPU共享推理服务。 ｜ [解决方案](https://www.aliyun.com/solution/tech-solution/one_gpu) | -| [exclusive-qa-service.yml](exclusive-qa-service.yml) | 向量检索与通义千问搭建专属问答服务。 | +| [exclusive-qa-service.yml](documents/solution/ai/exclusive-qa-service.yml) | 向量检索与通义千问搭建专属问答服务。 | +| [discover-and-reach-high-value-users.yml](documents/solution/ai/discover-and-reach-high-value-users.yml) | 高价值用户挖掘及触达 | - data-analysis diff --git a/README.md b/README.md index edefc0b1..0253d411 100644 --- a/README.md +++ b/README.md @@ -454,7 +454,8 @@ Examples and best practices of ROS templates. The templates are categorized as f | [build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml) | Build a dialogue model based on ChatGLM and LangChain. | | [build-a-dialogue-model-based-on-Qwen-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-Qwen-and-LangChain.yml) | Build a dialogue model based on Qwen and LangChain. | | [ack-ai-fine-tuning.yml](documents/solution/ai/ack-ai-fine-tuning.yml) | Use the cloud-native AI suite to submit model fine-tuning training tasks and deploy GPU shared inference services. | -| [exclusive-qa-service.yml](exclusive-qa-service.yml) | DashVector and Tongyi QianWen build exclusive Q&A service. | +| [exclusive-qa-service.yml](documents/solution/ai/exclusive-qa-service.yml) | DashVector and Tongyi QianWen build exclusive Q&A service. | +| [discover-and-reach-high-value-users.yml](documents/solution/ai/discover-and-reach-high-value-users.yml) | Discover and reach high value users. | diff --git a/documents/solution/ai/discover-and-reach-high-value-users.yml b/documents/solution/ai/discover-and-reach-high-value-users.yml new file mode 100644 index 00000000..c0897652 --- /dev/null +++ b/documents/solution/ai/discover-and-reach-high-value-users.yml @@ -0,0 +1,92 @@ +ROSTemplateFormatVersion: '2015-09-01' +Parameters: + TrainingDataPath: + Type: String + Label: + zh-cn: 训练输入数据OSS路径 + en: Training Job Data OSS Path + Description: + zh-cn: 选择之前步骤中上传至OSS的训练数据数据目录。 + en: Select the data directory uploaded to OSS in the previous step. + InferenceDataPath: + Type: String + Label: + zh-cn: 推理输入数据OSS路径 + en: Inference Job Data OSS Path + Description: + zh-cn: 选择之前步骤中上传至OSS的人群圈选任务的输入数据路径 + en: Select the input data path of the crowd selection task uploaded to OSS in the previous step. + TargetOutputPath: + Type: String + Label: + zh-cn: 人群圈选任务输出数据路径 + en: Outputs Data Path + Description: + zh-cn: 输出数据所在的地域和OSS目录。输出数据路径需要为空目录，否则可能会导致输出目录中存在多个任务的人群文件。 + en: OSS directory where the output data is located. The output data path needs to be an empty directory, otherwise crowd files for multiple tasks may exist in the output directory. +Resources: + Campaign: + Type: ALIYUN::PAIPlugin::Campaign + Properties: + Name: + Fn::Sub: tech_solu_campaign_name-${ALIYUN::StackId} + TrainingJob: + Type: ALIYUN::PAIPlugin::TrainingJob + Properties: + Algorithm: sms_recall + CampaignId: + Ref: Campaign + DataPath: + Ref: TrainingDataPath + UserConfig: + end_date: "20220208" + op_target: sms + start_date: "20220101" + WaitForTrainingFinish: true + Name: + Fn::Sub: tech_solu_training_job_name-${ALIYUN::StackId} + InferenceJob: + Type: ALIYUN::PAIPlugin::InferenceJob + Properties: + Algorithm: sms_recall + CampaignId: + Ref: Campaign + DataPath: + Ref: InferenceDataPath + UserConfig: + percentage_threshold: 0.5 + exe_date: "20220201" + WaitForInferenceFinish: true + TrainingJobId: + Ref: TrainingJob + TargetPath: + Ref: TargetOutputPath + Name: + Fn::Sub: tech_solu_inference_job_name-${ALIYUN::StackId} +Outputs: + GroupId: + Description: + zh-cn: 圈选出的人群ID + en: Circled crowd ID + Value: + Fn::GetAtt: + - InferenceJob + - GroupId +Metadata: + ALIYUN::ROS::Interface: + ParameterGroups: + - Parameters: + - TrainingDataPath + Label: + default: + en: Training Job + zh-cn: 策略训练任务 + - Parameters: + - InferenceDataPath + - TargetOutputPath + Label: + default: + en: Inference Job + zh-cn: 人群圈选任务 + TemplateTags: + - acs:technical-solution:ai:高价值用户挖掘及触达-tech_solu_17