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dominant alleles are always the most common allele in a population | NO | |
---|---|---|
is there a basketball team in las vegas | YES | |
extinction can be the result of habitat fragmentation | YES | |
is area code 808 a toll free number | NO | |
does a south african passport need a visa for singapore | NO | |
does newman's own really give all profits to charity | YES | |
is the son of the beast still at kings island | NO | |
all types of joints allow for the same range of motion | NO | |
do ghanaians need visa to go to singapore | NO | |
is the right to life liberty and the pursuit of happiness in the constitution | NO |
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:%s/,\([^ ]\)/, \1/g |
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""" | |
Functions for computing the population count (aka Hamming weight) of an array | |
in-place using the built-in popcount routine. | |
Works with any integer datatype 64 bit-width or smaller. | |
Compile with gcc flag -mpopcnt | |
Adapted from | |
https://gist.github.com/aldro61/f604a3fa79b3dec5436a by Alexandre Drouin | |
""" | |
import numpy as np | |
cimport numpy as np |
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def mean_reciprocal_rank(X, Y, indices, metric='hamming'): | |
''' Computes the mean reciprocal rank of the correct match | |
Assumes that X[n] should be closest to Y[n] | |
Default uses hamming distance | |
:parameters: | |
- X : np.ndarray, shape=(n_examples, n_features) | |
Data matrix in X modality | |
- Y : np.ndarray, shape=(n_examples, n_features) | |
Data matrix in Y modality | |
- indices : np.ndarray |
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import os | |
os.chdir('..') | |
import sys | |
sys.path.append(os.getcwd()) | |
import normalize_names | |
import pickle | |
with open('data/Clean MIDIs-md5_to_artist_title.pickle') as f: | |
md5_to_artist_title = pickle.load(f) |
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""" | |
Create a tab-separated value file for uspop2002 entries which includes each | |
track's Echo Nest "loudness" score | |
""" | |
import pyen | |
import os | |
import time | |
# Put your Echo Nest API key in a file called .echonest_key |
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{ | |
"description": "CQT no beats", | |
"hypers": "{\"objective\": {\"hyper_dims\": {\"44672\": {\"bscale\": [0], \"bcenter\": [0]}, \"44673\": {\"bscale\": [1], \"bcenter\": [1]}, \"44674\": {\"bscale\": [2], \"bcenter\": [2]}, \"44675\": {\"bscale\": [3], \"bcenter\": [3]}, \"44676\": {\"bscale\": [4], \"bcenter\": [4]}, \"44677\": {\"bscale\": [5], \"bcenter\": [5]}, \"44678\": {\"bscale\": [6], \"bcenter\": [6]}}, \"nnet_parameters\": [{\"shape\": [7, 50], \"value\": \"eJwNlvc/FI4fx1FCwuejoRJJoSgpWsI7pOxZyPooojT4IDK+iRZKmRll5M7qzLM53hzHcZxZx4nO\\nqMgKDZ+sb//A65fn6/F8vb6Clzq888Cbknx/Jc+HwvcJPeVgp0k07ai6KUwJhwb3AlXbUTJ6UTaN\\nxUQVodpUv2Ui+SYOVI2mCPmycUNqDWGLJgHeeYYyv0TlQEr2S4N06Vo4Jra2+W79G0D/vrVfke0g\\npfbzzfCBbthy07Z/TO06Kscz6MaxHfiI97vQYXIfuEbUclUwmuDz/QslrtUsrPzVLksVHkS53Z61\\nRtIIe7W6j+jOEeG2uNf9F9JFmE31cNjBRcLFro2+vBJVKPD2qOzsQCOmUJWknlIG8JLLHe0Ht5tx\\nw5NqcpFfNxw3n7yVkYlQWEVQkCguwsHe8ZZDuaNYWnhya2MJwuhcxgaWTgvWRpNi/hlm4by9pg0h\\nmQrHTRP03YRJKK1bcErerQddRzkmPP8lwuUzEjsoLyqxcZ/ckxXjepTjFcyb+smBF2Of6s |
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