Commands model:lda/publish

[ALPHA] Creates a tar file that will used as input to the scoring engine

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:lda/publish

arguments:

model : Model

<Missing Description>

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Creates a tar file with the trained Latent Dirichlet Allocation model. The tar file is then published on HDFS and this method returns the path to the tar file.

The tar file is used as input to the scoring engine to predict the conditional topic probabilities for a document.

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

Returns the HDFS path to the trained model’s tar file