Package mdp :: Package nodes :: Class QuadraticExpansionNode
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Class QuadraticExpansionNode

Perform expansion in the space formed by all linear and quadratic monomials. QuadraticExpansionNode() is equivalent to a PolynomialExpansionNode(2)
Instance Methods [hide private]
__init__(self, input_dim=None, dtype=None)
Input arguments: degree -- degree of the polynomial space where the input is expanded

Inherited from unreachable._ExpansionNode (private): _set_input_dim, _set_output_dim

Inherited from unreachable.newobject: __long__, __native__, __nonzero__, __unicode__, next

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

    Inherited from PolynomialExpansionNode
_execute(self, x)
Return the list of dtypes supported by this node.
execute(self, x)
Process the data contained in x.
expanded_dim(self, dim)
Return the size of a vector of dimension 'dim' after a polynomial expansion of degree 'self._degree'.
    Inherited from Node
__add__(self, other)
__call__(self, x, *args, **kwargs)
Calling an instance of Node is equivalent to calling its execute method.
_check_input(self, x)
_check_output(self, y)
_check_train_args(self, x, *args, **kwargs)
_inverse(self, x)
_pre_execution_checks(self, x)
This method contains all pre-execution checks.
_pre_inversion_checks(self, y)
This method contains all pre-inversion checks.
_refcast(self, x)
Helper function to cast arrays to the internal dtype.
_set_dtype(self, t)
_stop_training(self, *args, **kwargs)
_train(self, x)
copy(self, protocol=None)
Return a deep copy of the node.
Return the index of the current training phase.
Return dtype.
Return input dimensions.
Return output dimensions.
Return the number of training phases still to accomplish.
Return dtypes supported by the node as a list of dtype objects.
Return True if the node has multiple training phases.
inverse(self, y, *args, **kwargs)
Invert y.
Return True if the node is in the training phase, False otherwise.
save(self, filename, protocol=-1)
Save a pickled serialization of the node to filename. If filename is None, return a string.
set_dtype(self, t)
Set internal structures' dtype.
set_input_dim(self, n)
Set input dimensions.
set_output_dim(self, n)
Set output dimensions.
stop_training(self, *args, **kwargs)
Stop the training phase.
train(self, x, *args, **kwargs)
Update the internal structures according to the input data x.
Static Methods [hide private]

Inherited from unreachable._ExpansionNode: is_invertible, is_trainable

Properties [hide private]

Inherited from object: __class__

    Inherited from Node
List of tuples:
Input dimensions
Output dimensions
Supported dtypes
Method Details [hide private]

__init__(self, input_dim=None, dtype=None)

Input arguments: degree -- degree of the polynomial space where the input is expanded
Overrides: object.__init__
(inherited documentation)