| 123456789101112131415161718192021222324 |
- from annoy import AnnoyIndex
- length = 20*4
- t = AnnoyIndex(length,metric="angular")
- t.load('stock.ann')
- stock_lines = []
- with open("/data/quantization/stock.log") as f:
- for x in range(100):
- stock_lines.append(eval(f.readline()))
- i = 0
- for stock in stock_lines:
- v = []
- for x in range(len(stock) - 1):
- v.extend(stock[x])
- index,distance = t.get_nns_by_item(i,5,include_distances=True)
- print(index, distance)
- i = i + 1
|
