Commands model:daal_naive_bayes/train

[BETA] Build a multinomial naive bayes model.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:daal_naive_bayes/train

arguments:

model : Model

<Missing Description>

frame : Frame

A frame to train the model on.

label_column : unicode

Column containing the label for each observation.

observation_columns : list

Column(s) containing the observations.

num_classes : int32 (default=2)

Number of classes

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Train a DaalNaiveBayesModel using the observation column, label column of the train frame and an optional lambda value.

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

dictionary A dictionary with trained multinomial naive bayes model with the following keys: ‘class_log_prior’: smoothed empirical log probability for each class ‘feature_log_prob’: empirical log probability of features given a class, P(x_i|y)