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我正在 Vertex AI 上使用 AutoML 进行预测建模，并获得了经过训练的模型。我在 Vertex AI 的模型选项卡中以图形方式检查了它的特征重要性，然后我想用下面的代码获得其特征重要性的文本数据，但只能看到它，不能将每个项目作为值。

------------------------ Python代码

from google.cloud import aiplatform_v1 as aiplatform2
api_endpoint = 'us-central1-aiplatform.googleapis.com'
client_options = {"api_endpoint": api_endpoint} # api_endpoint is required for client_options
client_model = aiplatform2.services.model_service.ModelServiceClient(client_options=client_options)
project_id = 'this is my project id'
location = 'us-central1'
model_id = 'my trained id'
model_name = f'projects/{project_id}/locations/{location}/models/{model_id}'

list_eval_request = aiplatform2.types.ListModelEvaluationsRequest(parent=model_name)
list_eval = client_model.list_model_evaluations(request=list_eval_request)
list_eval.model_evaluations

------------------------ 仅在笔记本上直观地获取此信息

[name: "projects/*********/locations/us-central1/models/*********/evaluations/*********"
metrics_schema_uri: "gs://google-cloud-aiplatform/schema/modelevaluation/regression_metrics_1.0.0.yaml"
metrics {
  struct_value {
    fields {
      key: "meanAbsoluteError"
      value {
        number_value: 2863.7043
      }
    }
    fields {
      key: "meanAbsolutePercentageError"
      value {
        number_value: 197.63817
      }

- - - - - - - - - - - - 问题

如何访问“键”及其“值”。示例键：“meanAbsoluteError”/值：number_value：2863.7043

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1 回答 1

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我这样理解

for a in list_eval.model_evaluations[0].metrics:
    b = str(list_eval.model_evaluations[0].metrics[a])
    v_str = a + ' : ' + b
    print(v_str)

rootMeanSquaredLogError : 1.2712421
rootMeanSquaredError : 26191.564
rSquared : 0.31798086
meanAbsoluteError : 5698.832
meanAbsolutePercentageError : 262.9534

“指标”只是一个字典

于 2021-10-14T08:55:54.583 回答