Commands model:svm/train

[ALPHA] Train SVM model.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:svm/train

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 to train the model on.

label_column : unicode

Column name containing the label for each observation.

observation_columns : list

Column(s) containing the observations.

intercept : bool (default=None)

The algorithm adds an intercept. Default is true.

num_iterations : int32 (default=None)

Number of iterations. Default is 100.

step_size : int32 (default=None)

Step size for optimizer. Default is 1.0.

reg_type : unicode (default=None)

Regularization L1 or L2. Default is L2.

reg_param : float64 (default=None)

Regularization parameter. Default is 0.01.

mini_batch_fraction : float64 (default=None)

Mini batch fraction parameter. Default is 1.0.

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Creating a SVM Model using the observation column and label column of the train frame.

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

_Unit