forensicfit.core.data module#

class forensicfit.core.data.DatasetNumpy(X, y, extra={}, name='')[source]#

Bases: object

Attributes:

classes
indicies
inputs: Returns ——- TYPE DESCRIPTION.
nclass
ndata: Returns ——- TYPE DESCRIPTION.
outputs: Returns ——- TYPE DESCRIPTION.
shape
test_X: Returns ——- TYPE DESCRIPTION.
test_y: Returns ——- TYPE DESCRIPTION.
train_X: Returns ——- TYPE DESCRIPTION.
train_y: Returns ——- TYPE DESCRIPTION.

Methods

load([filename])

param cls:: DESCRIPTION.

save([filename])

param filename:: DESCRIPTION. The default is ''.

shuffle([train_size])

param train_size:: DESCRIPTION. The default is 0.8.

balance

__init__(X, y, extra={}, name='')[source]#

property shape#

shuffle(train_size=0.8)[source]#

Parameters:: train_size (TYPE, optional) – DESCRIPTION. The default is 0.8.
Return type:: None.

balance()[source]#

property train_X#: returns: DESCRIPTION. :rtype: TYPE

property train_y#: returns: DESCRIPTION. :rtype: TYPE

property test_X#: returns: DESCRIPTION. :rtype: TYPE

property test_y#: returns: DESCRIPTION. :rtype: TYPE

save(filename='')[source]#

Parameters:: filename (TYPE, optional) – DESCRIPTION. The default is ‘’.
Return type:: None.

property ndata#: returns: DESCRIPTION. :rtype: TYPE

classmethod load(filename='')[source]#

Parameters:

cls (TYPE) – DESCRIPTION.
filename (TYPE, optional) – DESCRIPTION. The default is ‘’.

Returns:

DESCRIPTION.

Return type:

TYPE

property inputs#: returns: DESCRIPTION. :rtype: TYPE

property outputs#: returns: DESCRIPTION. :rtype: TYPE

property nclass#

property classes#

property indicies#