This documentation is for Machine Learner 1.0.0. View documentation for the latest release.
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Overview

DescriptionRetrieve all algorithms.
Resource Path

/api/configs/algorithms

HTTP MethodGET
Request/Response Formatapplication/json

Sample cURL command

curl -H "Content-Type: application/json" -H "Authorization: Basic YWRtaW46YWRtaW4=" -v https://localhost:9443/api/configs/algorithms -k

Example

GET https://localhost:9443/api/configs/algorithms

Sample output

[
{
"interpretability":5,
"scalability":5,
"multicollinearity":1,
"dimensionality":5,
"name":"LINEAR_REGRESSION",
"type":"Numerical_Prediction",
"parameters":[
{
"value":"100",
"key":"Iterations",
"description":"Number of times optimizer runs before completing the\n\t\t\t\t\toptimization process. This parameter value should be an integer\n\t\t\t\t\tgreater than 0.\n\t\t\t\t"
},
{
"value":"0.001",
"key":"Learning_Rate",
"description":"Step size of the optimization algorithm. This parameter\n\t\t\t\t\tvalue should be between 0 and 1, 1 inclusive.\n\t\t\t\t"
},
{
"value":"1",
"key":"SGD_Data_Fraction",
"description":"Fraction of the training dataset used per iteration\n\t\t\t\t\tin the optimization algorithm. This parameter value should be\n\t\t\t\t\tbetween 0 and 1, 1 inclusive.\n\t\t\t\t"
}
]
},
{
"interpretability":5,
"scalability":5,
"multicollinearity":1,
"dimensionality":5,
"name":"RIDGE_REGRESSION",
"type":"Numerical_Prediction",
"parameters":[...]
}
]

REST API response

HTTP status code

200

For descriptions of the HTTP status codes, see HTTP Status Codes.

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