def loadMATdata(self, fname):
        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)
Transform a lowpass filter prototype to a highpass filter.
dataset/ETHPy150Open pybrain/pybrain/pybrain/tools/svmdata.py/SVMData.loadMATdata--crossover with--dataset/ETHPy150Open scipy/scipy/scipy/signal/filter_design.py/lp2hp