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 : Model

<Missing Description>

frame : Frame

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

Predicts the clusters for each data point and distance to every cluster center of the frame using the trained model along

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

Frame

Frame

A new frame consisting of the existing columns of the frame and the following new columns: ‘k’ columns : Each of the ‘k’ columns containing squared distance of that observation to the ‘k’th cluster center predicted_cluster column: The cluster assignment for the observation