This documentation is for Machine Learner 1.0.0. View documentation for the latest release.
||
Skip to end of metadata
Go to start of metadata

Overview

DescriptionMake a prediction using a model.
Resource Path

/api/models/predict

HTTP MethodPOST
Request/Response Formatapplication/json

Sample cURL command

curl -X POST -b cookies  https://localhost:9443/api/models/predict -H "Authorization: Basic YWRtaW46YWRtaW4=" -H "Content-Type: multipart/form-data" -F modelId='1' -F dataFormat='csv' -F file=@'test-file.csv' -k

test-file.csv
2,197,70,45,543,30.5,0.158,53
10,125,70,26,115,31.1,0.205,41
7,159,64,0,0,27.4,0.294,40
5,99,74,27,0,29.0,0.203,32
2,92,62,28,0,31.6,0.130,24
1,126,60,0,0,30.1,0.349,47
1,93,70,31,0,30.4,0.315,23

Example

POST https://localhost:9443/api/models/predict

Sample output

["0","0","0","0","0","0","0"]

REST API response

HTTP status code

200, 404 or 500

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

  • No labels