Method : POST

URI : /brs/object/list/1

Body :

{"bucket_name":"<name of the bucket>"}

Example

curl -H "Content-Type: application/json" -d'{"bucket_name":"ml_bucket_info"}' -X POST http://192.168.1.105:18080/brs/object/list/1

Response

{
   "total_keys":5,
   "key_list":[
      {
         "key":"sales_model__website:0:1:441:1648550728434692"
      },
      {
         "key":"sales_model__website__param:0:1:932:1648550728434760"
      },
      {
         "key":"sales_model__website__range:0:1:108:1648550728434721"
      },
      {
         "key":"sales_model__website.traindetails:0:1:11549:1648550728435030"
      },
      {
         "key":"sales_model__website__visitor_upload.txt:0:1:1062:1648548818373679"
      }
   ]
}

You will notice that various files (including the model) for training was stored in this bucket.