Commands model:k_means/predict

[BETA] Predict the cluster assignments for the data points.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:k_means/predict

arguments:

model : <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e68702090>>

<Missing Description>

frame : <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>>

A frame whose labels are to be predicted. By default, predict is run on the same columns over which the model is trained.

observation_columns : list (default=None)

Column(s) containing the observations whose clusters are to be predicted. Default is to predict the clusters over columns the KMeans model was trained on. The columns are scaled using the same values used when training the model.

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Response

Status

200 OK

Body

Returns information about the command. See the Response Body for Get Command here below. It is the same.

GET /v1/commands/:id

Request

Route

GET /v1/commands/18

Body

(None)

Headers

Authorization: test_api_key_1
Content-type: application/json

Response

Status

200 OK

Body

<bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>>

A new frame consisting of the existing columns of the frame and new columns. The data returned is composed of multiple components:

double : ‘k’ columns

Squared distance of each point to every cluster center.

int : predicted_cluster

The cluster assignment.