def __init__(self):
SequentialDataSet.__init__(self, 1,1)
self.newSequence()
self.addSample([-1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.newSequence()
self.addSample([1], [1])
self.addSample([1], [-1])
self.newSequence()
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.newSequence()
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.newSequence()
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([1], [1])
def __init__(self):
SequentialDataSet.__init__(self, 1, 1)
self.newSequence()
self.addSample([-1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.newSequence()
self.addSample([1], [1])
self.addSample([1], [-1])
self.newSequence()
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([1], [1])
self.addSample([1], [-1])
self.newSequence()
self.addSample([1], [1])
self.addSample([1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.addSample([-1], [1])
self.newSequence()
self.addSample([-1], [-1])
self.addSample([-1], [-1])
self.addSample([1], [1])
def __init__(self, inp, target, nb_classes=0, class_labels=None):
"""Initialize an empty dataset.
`inp` is used to specify the dimensionality of the input. While the
number of targets is given by implicitly by the training samples, it can
also be set explicity by `nb_classes`. To give the classes names, supply
an iterable of strings as `class_labels`."""
# FIXME: hard to keep nClasses synchronized if appendLinked() etc. is used.
SequentialDataSet.__init__(self, inp, target)
# we want integer class numbers as targets
self.convertField('target', int)
if len(self) > 0:
# calculate class histogram, if we already have data
self.calculateStatistics()
self.nClasses = nb_classes
self.class_labels = list(range(self.nClasses)) if class_labels is None else class_labels
# copy classes (targets may be changed into other representation)
self.setField('class', self.getField('target'))
def __init__(self, inp, target, nb_classes=0, class_labels=None):
"""Initialize an empty dataset.
`inp` is used to specify the dimensionality of the input. While the
number of targets is given by implicitly by the training samples, it can
also be set explicity by `nb_classes`. To give the classes names, supply
an iterable of strings as `class_labels`."""
# FIXME: hard to keep nClasses synchronized if appendLinked() etc. is used.
SequentialDataSet.__init__(self, inp, target)
# we want integer class numbers as targets
self.convertField('target', int)
if len(self) > 0:
# calculate class histogram, if we already have data
self.calculateStatistics()
self.nClasses = nb_classes
self.class_labels = range(self.nClasses) if class_labels is None else class_labels
# copy classes (targets may be changed into other representation)
self.setField('class', self.getField('target'))
def __init__(self):
SequentialDataSet.__init__(self, 0, 1)
self.newSequence()
self.addSample([], [0])
self.addSample([], [1])
self.addSample([], [0])
self.addSample([], [1])
self.addSample([], [0])
self.addSample([], [1])
self.newSequence()
self.addSample([], [0])
self.addSample([], [1])
self.addSample([], [0])
self.addSample([], [1])
self.addSample([], [0])
self.addSample([], [1])
def __init__(self):
SequentialDataSet.__init__(self, 0, 1)
self.newSequence()
self.addSample([],[0])
self.addSample([],[1])
self.addSample([],[0])
self.addSample([],[1])
self.addSample([],[0])
self.addSample([],[1])
self.newSequence()
self.addSample([],[0])
self.addSample([],[1])
self.addSample([],[0])
self.addSample([],[1])
self.addSample([],[0])
self.addSample([],[1])
