I am trying to understand the pybrain documentation. There is a demo for classification.
from pybrain.datasets import ClassificationDataSet
from pybrain.utilities import percentError
from pybrain.tools.shortcuts import buildNetwork
from pybrain.supervised.trainers import BackpropTrainer
from pybrain.structure.modules import SoftmaxLayer
from pylab import ion, ioff, figure, draw, contourf, clf, show,
hold, plot
from scipy import diag, arange, meshgrid, where
from numpy.random import multivariate_normal
means = [(-1,0),(2,4),(3,1)]
cov = [diag([1,1]), diag([0.5,1.2]), diag([1.5,0.7])]
alldata = ClassificationDataSet(2, 1, nb_classes=3)
for n in range(400):
for klass in range(3):
input = multivariate_normal(means[klass],cov[klass])
alldata.addSample(input, [klass])
alldata._convertToOneOfMany()
tstdata, trndata = alldata.splitWithProportion( 0.25 )
trndata._convertToOneOfMany( )
tstdata._convertToOneOfMany( )
print("Number of training patterns: ", len(trndata))
print("Input and output dimensions: ", trndata.indim, trndata.outdim)
print("First sample (input, target, class):")
print(trndata['input'][0], trndata['target'][0],
trndata['class'][0])
fnn = buildNetwork( trndata.indim, 5, trndata.outdim,
outclass=SoftmaxLayer )
trainer = BackpropTrainer( fnn, dataset=trndata, momentum=0.1,
verbose=True, weightdecay=0.01)
And the error message shows that trndata and tstdata has not attribute '_convertToOneOfMany'. Does anyone know how to fix this?
Thanks.
