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peace098beat / adaboost.py
Last active August 29, 2015 14:27 — forked from tristanwietsma/adaboost.py
AdaBoost Python implementation of the AdaBoost (Adaptive Boosting) classification algorithm.
from __future__ import division
from numpy import *
class AdaBoost:
def __init__(self, training_set):
self.training_set = training_set
self.N = len(self.training_set)
self.weights = ones(self.N)/self.N
self.RULES = []
#!/usr/bin/python
class List(list):
def dup(self):
def _dup(lst,ancestors):
for orig,copy in ancestors:
if lst == orig:
return copy
copy = lst[:]
_ancestors = ancestors+[(lst,copy)]
for i,x in enumerate(copy):
@peace098beat
peace098beat / livespec.py
Created January 15, 2017 03:40 — forked from boylea/livespec.py
pyqtgraph live running spectrogram from microphone
import numpy as np
import pyqtgraph as pg
import pyaudio
from PyQt4 import QtCore, QtGui
FS = 44100 #Hz
CHUNKSZ = 1024 #samples
class MicrophoneRecorder():
def __init__(self, signal):