Exemplos de compute_output_plot_isolines_sine em Python

Exemplo n.º 1

from shogun.Regression import *
from shogun.Kernel import *
import util

util.set_title('KernelRidgeRegression on Sine')

X, Y = util.get_sinedata()
width = 1

feat = RealFeatures(X)
lab = Labels(Y.flatten())
gk = GaussianKernel(feat, feat, width)
krr = KernelRidgeRegression()
krr.set_labels(lab)
krr.set_kernel(gk)
krr.set_tau(1e-6)
krr.train()

plot(X, Y, '.', label='train data')
plot(X[0], krr.apply().get_labels(), hold=True, label='train output')

XE, YE = util.compute_output_plot_isolines_sine(krr, gk, feat)
YE200 = krr.apply(200)

plot(XE[0], YE, hold=True, label='test output')
plot([XE[0, 200]], [YE200], '+', hold=True)
#print YE[200], YE200

connect('key_press_event', util.quit)
show()

Exemplo n.º 2

Arquivo: kernel_ridge_regression_sinc.py Projeto: zhqanddcy/shogun

from modshogun import *
import util

util.set_title('KernelRidgeRegression on Sine')


X, Y=util.get_sinedata()
width=1

feat=RealFeatures(X)
lab=RegressionLabels(Y.flatten())
gk=GaussianKernel(feat, feat, width)
krr=KernelRidgeRegression()
krr.set_labels(lab)
krr.set_kernel(gk)
krr.set_tau(1e-6)
krr.train()

plot(X, Y, '.', label='train data')
plot(X[0], krr.apply().get_labels(), hold=True, label='train output')

XE, YE=util.compute_output_plot_isolines_sine(krr, gk, feat, regression=True)
YE200=krr.apply_one(200)

plot(XE[0], YE, hold=True, label='test output')
plot([XE[0,200]], [YE200], '+', hold=True)
#print YE[200], YE200

connect('key_press_event', util.quit)
show()

Exemplo n.º 3

Arquivo: krr_sinc.py Projeto: AsherBond/shogun

from shogun.Kernel import *
import util

util.set_title('KRR on Sine')


X, Y=util.get_sinedata()
width=1

feat=RealFeatures(X)
lab=Labels(Y.flatten())
gk=GaussianKernel(feat, feat, width)
krr=KRR()
krr.set_labels(lab)
krr.set_kernel(gk)
krr.set_tau(1e-6)
krr.train()

plot(X, Y, '.', label='train data')
plot(X[0], krr.classify().get_labels(), hold=True, label='train output')

XE, YE=util.compute_output_plot_isolines_sine(krr, gk, feat)
YE200=krr.classify_example(200)

plot(XE[0], YE, hold=True, label='test output')
plot([XE[0,200]], [YE200], '+', hold=True)
#print YE[200], YE200

connect('key_press_event', util.quit)
show()