- Ensure you have correct GPU drivers. Install
nvidia
for ARCH Linux. Otherwise you won't be able to use GPU. - Use the correct flags and compiler. Refer to the mxnet AUR PKGBUILD for the correct command
- Don't need to copy the libmxnet.so manually.
python setup.py build|install
will package the so file and put into the correct path.
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HANDY ONE-LINE SCRIPTS FOR AWK 30 April 2008 | |
Compiled by Eric Pement - eric [at] pement.org version 0.27 | |
Latest version of this file (in English) is usually at: | |
http://www.pement.org/awk/awk1line.txt | |
This file will also be available in other languages: | |
Chinese - http://ximix.org/translation/awk1line_zh-CN.txt | |
USAGE: |
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-1 2:1 3:1 4:2 5:1 6:1 7:2 8:1 9:1 10:1 11:1 12:1 13:1 14:1 15:1 16:1 17:1 18:1 19:1 20:1 21:1 | |
-1 7:2 12:1 18:2 22:1 23:1 24:1 25:1 26:1 27:1 28:1 29:1 30:1 31:1 32:1 33:1 34:1 35:1 36:1 37:1 38:1 39:1 40:1 41:2 42:1 43:1 44:1 45:1 46:1 47:1 48:1 | |
-1 7:1 12:1 17:1 21:1 27:1 49:1 50:1 51:1 52:1 53:1 54:1 | |
+1 4:4 7:1 13:1 18:2 21:1 24:1 28:1 39:1 41:1 56:1 57:1 58:1 59:1 60:1 61:1 62:1 63:1 64:1 65:1 66:1 67:2 68:1 69:1 70:1 71:1 72:1 73:1 74:1 75:1 76:1 77:1 78:1 79:1 | |
+1 7:1 18:5 21:1 23:1 30:2 31:1 39:1 53:1 67:1 80:1 81:1 82:1 83:1 84:1 85:1 86:1 87:2 88:1 89:1 90:1 91:1 92:1 | |
+1 18:1 21:1 43:1 67:1 83:1 93:1 94:1 95:1 96:1 97:1 98:1 99:1 100:1 101:1 102:1 103:1 104:1 105:1 106:1 | |
-1 2:1 4:2 6:1 7:1 18:1 20:1 21:1 30:2 39:1 63:1 67:1 78:1 87:1 107:1 108:1 109:1 110:1 111:1 112:1 113:1 114:1 115:1 116:1 117:1 118:1 119:1 120:1 | |
+1 4:1 7:1 9:1 18:3 21:1 26:1 30:1 31:1 34:1 35:1 39:1 67:1 100:1 113:1 121:1 122:1 123:1 124:1 125:1 126:1 127:1 128:1 129:1 130:1 131:1 132:1 133:1 134:1 | |
+1 4:2 7:3 9:1 17:1 18:1 21:2 23: |
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import pylab as pl | |
import sklearn | |
from sklearn import linear_model, svm | |
import numpy as np | |
from sklearn import datasets | |
X, y = datasets.make_classification(n_samples=100, n_features=2, n_redundant=0) | |
pl.scatter(X[:, 0], X[:, 1], c=y) | |
clr0 = linear_model.LogisticRegression() |
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r = redis.StrictRedis(host='127.0.0.1', port=6379, db=0) | |
r.get('users:leto') |
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""" | |
convert an edge list to the graph VNA format. | |
VNA format can be read and visualized by Gephi | |
""" | |
import sys | |
def edge_list_to_vna(edge_list): | |
"""edge_list is a list of 3-tuples: [from, to, weight] |
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""" project text to libsvm vector space | |
""" | |
from gensim import corpora, models, similarities | |
import sys | |
import os.path | |
def load_document(): | |
text_li = [] | |
for line in sys.stdin: |
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#encoding:utf-8 | |
from java.io import FileInputStream | |
from java.io import ObjectInputStream | |
import sys | |
jarfiles = ["/opt/lingpipe-segmenter/lingpipe-4.0.1.jar", "/opt/lingpipe-segmenter/zhToksDemo.jar"] | |
for jar in jarfiles: | |
if jar not in sys.path: | |
sys.path.append(jar) |
This gist is part of a blog post. Check it out at:
http://jasonrudolph.com/blog/2011/08/09/programming-achievements-how-to-level-up-as-a-developer
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"""http://stackoverflow.com/questions/6282432/load-sparse-array-from-npy-file | |
""" | |
import random | |
import scipy.sparse as sparse | |
import scipy.io | |
import numpy as np | |
def save_sparse_matrix(filename, x): | |
x_coo = x.tocoo() | |
row = x_coo.row |
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