Commands model:principal_components/predict

[ALPHA] Predict using principal components model.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:principal_components/predict

arguments:

model : Model

Handle to the model to be used.

frame : Frame

Frame whose principal components are to be computed.

mean_centered : bool (default=True)

Option to mean center the columns. Default is true

t_squared_index : bool (default=False)

Indicator for whether the t-square index is to be computed. Default is false.

observation_columns : list (default=None)

List of observation column name(s) to be used for prediction. Default is the list of column name(s) used to train the model.

c : int32 (default=None)

The number of principal components to be predicted. ‘c’ cannot be greater than the count used to train the model. Default is the count used to train the model.

name : unicode (default=None)

The name of the output frame generated by predict.

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Predicting on a dataframe’s columns using a PrincipalComponents Model.

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

A frame with existing columns and following additional columns:

‘c’ additional columns: containing the projections of V on the the frame ‘t_squared_index’: column storing the t-square-index value, if requested