def transform(self, data):
"""Project data into principal component space
Parameters
----------
data : Series or a subclass (e.g. RowMatrix)
Data to estimate independent components from, must be a collection of
key-value pairs where the keys are identifiers and the values are
one-dimensional arrays
Returns
-------
scores : RowMatrix, nrows, each of shape (k,)
The scores (i.e. the representation of the data in PC space)
"""
if not (isinstance(data, Series)):
raise Exception('Input must be Series or a subclass (e.g. RowMatrix)')
if type(data) is not RowMatrix:
data = RowMatrix(data)
mat = data.center(0)
scores = mat.times(self.comps.T / self.latent)
return scores
def transform(self, data):
"""Project data into principal component space
Parameters
----------
data : Series or a subclass (e.g. RowMatrix)
Data to estimate independent components from, must be a collection of
key-value pairs where the keys are identifiers and the values are
one-dimensional arrays
Returns
-------
scores : RowMatrix, nrows, each of shape (k,)
The scores (i.e. the representation of the data in PC space)
"""
if not (isinstance(data, Series)):
raise Exception('Input must be Series or a subclass (e.g. RowMatrix)')
if type(data) is not RowMatrix:
data = RowMatrix(data)
mat = data.center(0)
scores = mat.times(self.comps.T / self.latent)
return scores
