def __call__(self, data):
"""
Project data into PCA feature space.
:param data: input dataset
:rtype: :obj:`~Orange.data.Table`
"""
if type(data) != Orange.data.Table:
data = Orange.data.Table([data])
X = data.to_numpy_MA("a")[0]
Xm, U = self.mean, self.eigen_vectors
n, m = X.shape
if m != len(self.stdev):
raise orange.KernelException, "Invalid number of features"
Xd = X - Xm
if self.standardize:
Xd /= self.stdev
self.A = np.ma.dot(Xd, U.T)
return Orange.data.Table(self.pc_domain, self.A.tolist())
def __call__(self, data):
"""
Project data into PCA feature space.
:param data: input dataset
:rtype: :obj:`~Orange.data.Table`
"""
if type(data) != Orange.data.Table:
data = Orange.data.Table([data])
X = data.to_numpy_MA("a")[0]
Xm, U = self.mean, self.eigen_vectors
n, m = X.shape
if m != len(self.stdev):
raise orange.KernelException, "Invalid number of features"
Xd = X - Xm
if self.standardize:
Xd /= self.stdev
self.A = np.ma.dot(Xd, U.T)
return Orange.data.Table(self.pc_domain, self.A.tolist())
def transpose(data):
"""
Transpose the `data` (works on attributes part only).
"""
domain = data.domain
N = len(data)
if not all(isinstance(attr,
(Orange.feature.Continuous, Orange.feature.Discrete))
for attr in domain.attributes):
raise TypeError
trans_domain = Orange.data.Domain(
[Orange.feature.Continuous("F%i" % (i + 1)) for i in range(N)]
)
X, = data.to_numpy_MA("A")
return Orange.data.Table(trans_domain, X.T)
def transpose(data):
"""
Transpose the `data` (works on attributes part only).
"""
domain = data.domain
N = len(data)
if not all(isinstance(attr,
(Orange.feature.Continuous, Orange.feature.Discrete))
for attr in domain.attributes):
raise TypeError
trans_domain = Orange.data.Domain(
[Orange.feature.Continuous("F%i" % (i + 1)) for i in range(N)]
)
X, = data.to_numpy_MA("A")
return Orange.data.Table(trans_domain, X.T)