URI
<machinelearning_uri>/ml-process:LinearRegressionFit[.<format>]
Supported methods
Parent resource
Introduction
对空间数据进行线性回归训练。
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:linearregressionfit
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 |
Training dataset, which needs to include data type, connection parameters, dataset name, etc. |
|
readasfeaturerdd-filter [Optional] |
String |
Data query conditions |
|
dependent [Required] |
String |
Modeling field |
|
explanatory [Required] |
String |
解释字段，该集合输入训练数据集的一个或多个字段名称作为模型的解释变量。 |
|
maxIter [Optional] |
String |
最大迭代次数，取值范围>0，默认值为100。 |
|
regParam [Optional] |
String |
正则化参数，正则化主要用于防止过拟合现象，取值范围≥0，默认值为0.0。 |
|
elasticNetParam [Optional] |
String |
正则化方式选择，取值范围为[0.0,1.0]，默认值为0.0。0.0为L2正则化，1.0为L1正则化，（0.0,1.0）为L1,L2组合。 |
|
explanatoryDistanceRDDs [Optional] |
String |
Distance explanatory variable dataset, supporting point, line, and region datasets. |
|
modelPath [Optional] |
String |
模型保存目录 |
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 linearRegressionFit 资源是否存在，或者客户端是否有权限访问linearRegressionFit资源。通过对加.<format>的 URI 执行 HEAD 请求，还可以快速判断 linearRegressionFit 资源是否支持<format>格式的表述。