Python get_meteor_scores示例

示例#1

def prepare_training_data_modelz():
    meteor_scores = np.array(get_meteor_scores('meteor.output.train'))
    test_meteor_scores = np.array(get_meteor_scores('meteor.output.test'))
    sts_scores = np.array(get_sts_scores('score.train'))
    
    np.savetxt('x.meteor.train', meteor_scores)
    np.savetxt('y.meteor.train', sts_scores)
    np.savetxt('x.meteor.test', test_meteor_scores)

示例#2

文件： carolling-old.py 项目： StevenLOL/USAAR-SemEval-2015

from sklearn.linear_model import LinearRegression, BayesianRidge, ARDRegression
from sklearn.linear_model import ElasticNet, LogisticRegression, RandomizedLogisticRegression
from sklearn.linear_model import PassiveAggressiveRegressor, RANSACRegressor
from sklearn.isotonic import IsotonicRegression
from sklearn import ensemble
from sklearn.svm import SVR
from sklearn.gaussian_process import GaussianProcess
from sklearn.tree import DecisionTreeRegressor

import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection

from sts_data import get_meteor_scores, get_sts_scores
from asiya import get_asiya_scores

meteor_scores = np.array(get_meteor_scores('meteor.output.train'))
sts_scores = np.array(get_sts_scores('score.train'))

test_meteor_scores = np.array(get_meteor_scores('meteor.output.test'))

x = meteor_scores
_x, to_remove = get_asiya_scores()

x = np.array(_x)
y = sts_scores
y = np.delete(y, to_remove, axis=0)
n = len(y)
xt = x

#print len(_x), len(x), len(y)

示例#3

文件： carolling-old.py 项目： BinbinBian/USAAR-SemEval-2015

from sklearn.linear_model import LinearRegression, BayesianRidge, ARDRegression
from sklearn.linear_model import ElasticNet, LogisticRegression, RandomizedLogisticRegression
from sklearn.linear_model import PassiveAggressiveRegressor, RANSACRegressor
from sklearn.isotonic import IsotonicRegression
from sklearn import ensemble
from sklearn.svm import SVR
from sklearn.gaussian_process import GaussianProcess
from sklearn.tree import DecisionTreeRegressor

import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection

from sts_data import get_meteor_scores, get_sts_scores
from asiya import get_asiya_scores

meteor_scores = np.array(get_meteor_scores('meteor.output.train'))
sts_scores = np.array(get_sts_scores('score.train'))

test_meteor_scores = np.array(get_meteor_scores('meteor.output.test'))

x = meteor_scores
_x, to_remove = get_asiya_scores()

x = np.array(_x)
y = sts_scores
y =np.delete(y, to_remove, axis=0)
n = len(y)
xt = x

#print len(_x), len(x), len(y)