Table Of Contents

Commands model:power_iteration_clustering/new

Create a ‘new’ instance of a PowerIterationClustering model.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:power_iteration_clustering/new

arguments:

dummy_model_ref : Model

<Missing Description>

name : unicode (default=None)

User supplied name.


Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Power Iteration Clustering [1] is a scalable and efficient algorithm for clustering vertices of a graph given pairwise similarities as edge properties. A Power Iteration Clustering model is initialized and the cluster assignments of the vertices can be predicted on specifying the source column, destination column and similarity column of the given frame.

footnotes

[1]http://www.cs.cmu.edu/~wcohen/postscript/icm12010-pic-final.pdf
[2]https://spark.apache.org/docs/1.5.0/mllib-clustering.html#power-iteration-clustering-pic

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

Model

A new instance of PowerIterationClustering Model