Commands model:libsvm/train

[ALPHA] Train LIBSVM model.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:libsvm/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.

svm_type : int32 (default=2)

Set type of SVM. Default is one-class SVM.

0 – C-SVC

1 – nu-SVC

2 – one-class SVM

3 – epsilon-SVR

4 – nu-SVR

kernel_type : int32 (default=2)

Specifies the kernel type to be used in the algorithm. Default is RBF.

0 – linear: u’*v

1 – polynomial: (gamma*u’*v + coef0)^degree

2 – radial basis function: exp(-gamma*|u-v|^2)

3 – sigmoid: tanh(gamma*u’*v + coef0)

weight_label : list (default=None)

Default is (Array[Int](0))

weight : list (default=None)

Default is (Array[Double](0.0))

epsilon : float64 (default=0.001)

Set tolerance of termination criterion

degree : int32 (default=3)

Degree of the polynomial kernel function (‘poly’). Ignored by all other kernels.

gamma : float64 (default=None)

Kernel coefficient for ‘rbf’, ‘poly’ and ‘sigmoid’. Default is 1/n_features.

coef : float64 (default=0.0)

Independent term in kernel function. It is only significant in ‘poly’ and ‘sigmoid’.

nu : float64 (default=0.5)

Set the parameter nu of nu-SVC, one-class SVM, and nu-SVR.

cache_size : float64 (default=100.0)

Specify the size of the kernel cache (in MB).

shrinking : int32 (default=1)

Whether to use the shrinking heuristic. Default is 1 (true).

probability : int32 (default=0)

Whether to enable probability estimates. Default is 0 (false).

nr_weight : int32 (default=1)

NR Weight

c : float64 (default=1.0)

Penalty parameter c of the error term.

p : float64 (default=0.1)

Set the epsilon in loss function of epsilon-SVR.

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Creating a LIBSVM 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