def load_matlab(cls, fname):
"""Create a dataset by reading a Matlab file containing one variable
called 'data' which is an array of nSamples * nFeatures + 1 and
contains the class in the first column."""
from mlabwrap import mlab #@UnresolvedImport
d = mlab.load(fname)
return cls(d.data[:, 0], d.data[:, 1:])
def load_matlab(cls, fname):
"""Create a dataset by reading a Matlab file containing one variable
called 'data' which is an array of nSamples * nFeatures + 1 and
contains the class in the first column."""
from mlabwrap import mlab #@UnresolvedImport
d = mlab.load(fname)
return cls(d.data[:, 0], d.data[:, 1:])
def loadMATdata(self, fname):
""" read Matlab file containing one variable called 'data' which is an array
nSamples x nFeatures+1 and contains the class in the first column """
from mlabwrap import mlab #@UnresolvedImport
from numpy import float
d = mlab.load(fname)
self.nSamples = d.data.shape[0]
x = []
y = []
for i in range(self.nSamples):
label = int(d.data[i, 0])
x.append(d.data[i, 1:].astype(float).tolist())
y.append([float(label)])
self._setDataFields(x, y)
def loadMATdata(self, fname):
""" read Matlab file containing one variable called 'data' which is an array
nSamples x nFeatures+1 and contains the class in the first column """
from mlabwrap import mlab #@UnresolvedImport
from numpy import float
d=mlab.load(fname)
self.nSamples = d.data.shape[0]
x = []
y = []
for i in range(self.nSamples):
label = int( d.data[i,0] )
x.append( d.data[i,1:].astype(float).tolist())
y.append( [ float(label) ] )
self._setDataFields(x,y)
