flipkart-incubator / cuppa Goto Github PK

great implementation for caffe model and kNN，but I have two questions:

1. could you please instruct the algorithm for knn
2. I did a tiny experiment as follows, when use predict api response nothing(http code:500):
   v1='[0.018448345363140106, 0.9855384826660156, 0.0005375780747272074, 0.016542669385671616, 0.0028725676238536835, 0.01883883588016033, 0.7837542295455933, 0.9421281814575195, 0.858430802822113, 0.06279351562261581, 0.019347021356225014, 0.93182772397995, 0.8539321422576904, 0.8034805655479431, 0.5766627788543701, 0.653766393661499, 0.016270926222205162, 0.9680255651473999, 0.9256700277328491, 0.9823125004768372, 0.99410480260849, 0.03165864199399948, 0.9952507615089417, 0.4026651382446289, 0.7379107475280762, 0.01387855876237154, 0.9996728301048279, 0.9999628067016602, 0.992577850818634, 0.9867085814476013, 0.21673664450645447, 0.9957020282745361, 0.0015155583387240767, 0.9227782487869263, 0.0008746151579543948, 0.9989007711410522, 0.08006580919027328, 0.0006333822384476662, 0.09225847572088242, 0.0005493158241733909, 0.0007938891067169607, 0.015284442342817783, 0.7659894824028015, 0.02385750040411949, 0.8482775092124939, 0.4759948253631592, 0.5717042088508606, 0.9377776384353638]'

import requests
import json
vec2 = json.loads(v1)

insert_request = {
"modelId":"model-2",
"operation": "insert",
"dataPointId": "1",
"vector": vec2,
"tags": ["g"]
}
response = requests.post('http://localhost:8000/v1/knn_model/update',
data= json.dumps(insert_request),
headers={'Content-Type': 'application/json'})
print(response.status_code)
print(response.content)

vec3 = json.loads(v1)
d4 = {"modelId":"model-2", "operation": "SearchByVector", "vector": vec3, "tags":["g"],"by":0}
response = requests.post('http://localhost:8000/v1/knn_model/predict',
data= json.dumps(d4),
headers={'Content-Type': 'application/json'})
print(response.status_code)
predictions = json.loads(response.content)
#ids_dists = predictions[u'result']
#ids_dists.reverse()