Commands model:lasso/train

Train Lasso Model

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:lasso/train

arguments:

model : Model

Handle to the model to be used.

frame : Frame

A frame to train the model on

value_column : unicode

Column name containing the value for each observation.

observation_columns : list

List of column(s) containing the observations.

initial_weights : list (default=None)

Initial set of weights to be used. List should be equal in size to the number of features in the data.

num_iterations : int32 (default=500)

Number of iterations of gradient descent to run

step_size : float64 (default=1.0)

Step size scaling to be used for the iterations of gradient descent.

reg_param : float64 (default=0.01)

regParam Regularization parameter.

mini_batch_fraction : float64 (default=1.0)

Fraction of data to be used per iteration.

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Train a Lasso model given an RDD of (label, features) pairs. We run a fixed number

• of iterations of gradient descent using the specified step size. Each iteration uses
• miniBatchFraction fraction of the data to calculate a stochastic gradient. The weights used
• in gradient descent are initialized using the initial weights provided.

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