lossycount 2.0

No project description provided

Finding Frequent Items 频繁集挖掘

Install

apt-get install -y libboost-python-dev
pip install lossycount

if cannot find -lboost_python3

occurred.

Then I went to

/usr/lib/x86_64-linux-gnu

search and found that the library file is in different name as

libboost_python-py35.so

so I made a link by following command

sudo ln -s libboost_python-py35.so libboost_python3.so which solved my problem.

Use

from lossycount import LossyCount

# 0.001 是要统计的频率下限
lc = LossyCount(0.001)

for i in range(200):
  for j in range(100):
    for k in range(j):
      lc.incr(j)
      # lc.incr(j, 1)

for i in range(1, 100, 30):
  print(i)
  print("出现的次数(估计值)", lc.est(i))
  print(
    "estimate the worst case error in the estimate of a) particular item :",
    lc.err(i)
  )
  print("---" * 20)

result = lc.output(1000)
result.sort(key=lambda x: -x[1])
print(result)

print(lc.capacity())

Thanks

hadjieleftheriou.com/frequent-items

version 1.0

Description

This package provides implementations of various one pass algorithms for finding frequent items in data streams. In particular it contains the following:

• Frequent Algorithm
• Lossy Counting, and variations
• Space Saving
• Greewald & Khanna
• Quantile Digest
• Count Sketch
• Hierarchical Count-Min Sketch
• Combinatorial Group Testing

The code is an extension of the MassDAL library. Implementations are by Graham Cormode.

Citations

• Finding Frequent Items in Data Streams

  G. Cormode, M. Hadjieleftheriou

  Proc. of the International Conference on Very Large Data Bases (VLDB)

  Auckland, New Zealand, August 2008.