Exemplos de extractXY em Python

Exemplo n.º 1

Arquivo: learning_py.py Projeto: stevenbedrick/img_diversity

import numpy as np
import pickle
from datetime import datetime
import sys, os

path = "data/X"

if 0:
    from Xtraction3 import extractXY

    # extract features
    path2docs = "../../feats/both/"
    path2rlvnce = "../../gt/rGT/"

    # create dict word number and X
    X = extractXY(path2docs, path2rlvnce)
    with open(path, 'wb') as AutoPickleFile:
        pickle.dump((X), AutoPickleFile)
else:
    with open(path, 'rb') as AutoPickleFile:
        X = pickle.load(AutoPickleFile)

# divide set
allQueries = X.keys()
allQueries = sorted(allQueries)  # seed
rnd_seed = "stay"
seed(rnd_seed)
shuffle(allQueries) # for seed
k = 10
testQueries = allQueries[1::k]
queries = list(set(allQueries) - set(testQueries))

Exemplo n.º 2

Arquivo: learning_py.py Projeto: 5l1v3r1/img_diversity

import numpy as np
import pickle
from datetime import datetime
import sys, os

#path = "data/X_test_all_1"
path = "data/lh"

if 1:
    from Xtraction3 import extractXY

    # extract features
    path2docs = "../../feats/both2/"

    # create dict word number and X
    X = extractXY(path2docs)
    with open(path, 'wb') as AutoPickleFile:
        pickle.dump((X), AutoPickleFile)
else:
    with open(path, 'rb') as AutoPickleFile:
        X = pickle.load(AutoPickleFile)

# divide set
allQueries = X.keys()
#allQueries = sorted(allQueries)  # seed
rnd_seed = "stay"
seed(rnd_seed)
shuffle(allQueries)  # for seed
#k = 10
#testQueries = allQueries[1::k]
#queries = list(set(allQueries) - set(testQueries))

Exemplo n.º 3

Arquivo: learning_py.py Projeto: shiranD/img_diversity

import numpy as np
import pickle
from datetime import datetime
import sys, os

#path = "data/X_test_all_1"
path = "data/lh"

if 1:
    from Xtraction3 import extractXY

    # extract features
    path2docs = "../../feats/both2/"

    # create dict word number and X
    X = extractXY(path2docs)
    with open(path, 'wb') as AutoPickleFile:
        pickle.dump((X), AutoPickleFile)
else:
    with open(path, 'rb') as AutoPickleFile:
        X = pickle.load(AutoPickleFile)

# divide set
allQueries = X.keys()
#allQueries = sorted(allQueries)  # seed
rnd_seed = "stay"
seed(rnd_seed)
shuffle(allQueries) # for seed
#k = 10
#testQueries = allQueries[1::k]
#queries = list(set(allQueries) - set(testQueries))

Exemplo n.º 4

     compute_num, compute_wd, compute_wr, doc_it
import numpy as np
import pickle
from datetime import datetime

path = "data/X"

if 0:
    from Xtraction3 import extractXY

    # extract features
    path2docs = "../../feats/both/"
    path2rlvnce = "../../gt/rGT/"

    # create dict word number and X
    X = extractXY(path2docs, path2rlvnce)
    with open(path, 'wb') as AutoPickleFile:
        pickle.dump((X), AutoPickleFile)
else:
    with open(path, 'rb') as AutoPickleFile:
        X = pickle.load(AutoPickleFile)


# divide set
allQueries = X.keys()
allQueries = sorted(allQueries)  # seed
rnd_seed = "stay"
seed(rnd_seed)
shuffle(allQueries) # for seed
k = 10
testQueries = allQueries[1::k]