Commands model:cox_ph/train

[ALPHA] Build Cox proportional hazard model.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:cox_ph/train

arguments:

model : Model

<Missing Description>

frame : Frame

A frame to train the model on.

time_column : unicode

Column containing the time data.

covariate_columns : list

List of column(s) containing the co-variate data.

censor_column : unicode

Column containing the censored data. Can have 2 values: 0 - event did not happen (censored); 1 - event happened (not censored)

convergence_tolerance : float64 (default=1e-06)

Convergence tolerance

max_steps : int32 (default=100)

Max steps.

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Fitting a CoxProportionalHazard Model using the covariate column(s)

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

dict

Trained Cox proportional hazard model