URI

<machinelearning_uri>/ml-process:LogisticRegressionTransform[.<format>]

Supported methods

GET、POST、HEAD

Parent resource

machineLearning

Introduction

对空间数据进行逻辑回归预测。

Supported methods:

  • GET：Returns an interactive operation page for analysis.
  • POST：Executes the analysis.
  • HEAD：检查datasourceresource exists, or if there is permission to accessdatasource资源。

Supported output formats:JSONP、RJSON、JSON、HTML、XML。

GIS Services Resource Hierarchy

HTTP Request Methods

Perform an HTTP request on the following URI. Here, supermapiserver is the server name.

http://supermapiserver:8090/iserver/services/machinelearning/restjsr/sps.WorkflowProcessFactory.models.ml-process:logisticregressiontransform

GET 请求

Returns an interactive operation page for analysis.

 

POST 请求

Executes the analysis.

请求参数

Request parameter list:

Field Type Definition

readasfeaturerdd-dataConnInfo

[Required]

String

预测数据集，需要包含数据类型，连接参数，数据集名字等信息。

readasfeaturerdd-filter

[Optional]

String

Data query conditions

logisticRegressionModel

[Required]

String

模型保存目录
explanatoryFieldMatching

[Optional]

String

 预测数据的映射字段
explanatoryDistanceRDDMatching

[Optional]

String

 预测数据的距离解释变量映射
saveas-dataConnInfo [Required]

String

 结果数据集-需要包含数据类型，连接参数，数据集名字等信息。

HEAD 请求

Returns the same HTTP response headers as a GET request, but without the response body. This allows retrieving meta-information from the response headers without transporting the entire content. The meta-information includes the media type,字符编码，压缩编码，实体内容长度等。

A HEAD request can be used to check if logisticRegressionTransform 资源是否存在，或者客户端是否有权限访问 logisticRegressionTransform 资源。通过对加.<format>的 URI 执行 HEAD 请求，还可以快速判断 logisticRegressionTransform 资源是否支持<format>格式的表述。

See