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| """ Example using GenSim's LDA and sklearn. """ | |
| import numpy as np | |
| from gensim import matutils | |
| from gensim.models.ldamodel import LdaModel | |
| from sklearn import linear_model | |
| from sklearn.datasets import fetch_20newsgroups | |
| from sklearn.feature_extraction.text import CountVectorizer |
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| """Information Retrieval metrics | |
| Useful Resources: | |
| http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
| http://www.nii.ac.jp/TechReports/05-014E.pdf | |
| http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
| http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
| Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
| """ | |
| import numpy as np |
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| from __future__ import division | |
| from numpy.fft import rfft | |
| from numpy import argmax, mean, diff, log, nonzero | |
| from scipy.signal import blackmanharris, correlate | |
| from time import time | |
| import sys | |
| try: | |
| import soundfile as sf | |
| except ImportError: | |
| from scikits.audiolab import flacread |