mdp.nodes.QuadraticExpansionNode

Class QuadraticExpansionNode

QuadraticExpansionNode()

PolynomialExpansionNode(2)

Instance Methods

__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)

_get_supported_dtypes(self)
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.

__repr__(self)
repr(x)

__str__(self)
str(x)

_check_input(self, x)

_check_output(self, y)

_check_train_args(self, x, *args, **kwargs)

_get_train_seq(self)

_if_training_stop_training(self)

_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.

get_current_train_phase(self)
Return the index of the current training phase.

get_dtype(self)
Return dtype.

get_input_dim(self)
Return input dimensions.

get_output_dim(self)
Return output dimensions.

get_remaining_train_phase(self)
Return the number of training phases still to accomplish.

get_supported_dtypes(self)
Return dtypes supported by the node as a list of dtype objects.

has_multiple_training_phases(self)
Return True if the node has multiple training phases.

inverse(self, y, *args, **kwargs)
Invert y.

is_training(self)
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

_train_seq
List of tuples:

dtype
dtype

input_dim
Input dimensions

output_dim
Output dimensions

supported_dtypes
Supported dtypes

init(self, input_dim=None, dtype=None)
(Constructor)

Input arguments: degree -- degree of the polynomial space where the input is expanded

Overrides: object.__init__: (inherited documentation)

Class QuadraticExpansionNode

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

init(self, input_dim=None, dtype=None)
(Constructor)