Class nELM

• Defined in File BF_Py.py

Inheritance Relationships

Base Type

• public tfc.utils.BF_Py.nBasisFunc (Class nBasisFunc)

Derived Types

• public tfc.utils.BF_Py.nELMReLU (Class nELMReLU)

• public tfc.utils.BF_Py.nELMSigmoid (Class nELMSigmoid)

• public tfc.utils.BF_Py.nELMSin (Class nELMSin)

• public tfc.utils.BF_Py.nELMSwish (Class nELMSwish)

• public tfc.utils.BF_Py.nELMTanh (Class nELMTanh)

Class Documentation

tfc.utils.BF_Py.nELM : public tfc.utils.BF_Py.nBasisFunc

n-dimensional extreme learning machine abstract basis class.

Subclassed by tfc.utils.BF_Py.nELMReLU, tfc.utils.BF_Py.nELMSigmoid, tfc.utils.BF_Py.nELMSin, tfc.utils.BF_Py.nELMSwish, tfc.utils.BF_Py.nELMTanh

Public Functions

__init__(self, JaxOrNumpyArray x0, JaxOrNumpyArray xf, JaxOrNumpyArray nC, uint m, Number z0=0.0, Number zf=1.0)

Initialize the basis class.

Parameters
----------
x0 : NDArray
    Start of the problem domain.
xf : NDArray
    End of the problem domain.
nC : NDArray
    Basis functions to be removed
m : uint
    Number of basis functions.
z0 : Number
    Start of the basis function domain.
zf : Number
    End of the basis function domain.

w(self)

Weights of the nELM

Returns
-------
NDArray
    Weights of the ELM.

b(self)

Biases of the nELM

Returns
-------
NDArray
    Biases of the ELM.

w(self, JaxOrNumpyArray val)

Weights of the nELM.

Parameters
----------
val : NDArray
    New weights.

b(self, JaxOrNumpyArray val)

Biases of the nELM.

Parameters
----------
val : NDArray
    New biases.

H(self, JaxOrNumpyArray x, JaxOrNumpyArray d, bool full=False)

Returns the basis function matrix for the x with a derivative of order d.

Parameters
----------
x : NDArray
    Input array. Values to calculate the basis function for.
    Should be size dim x N.
d : NDArray
    Order of the derivative
full : bool
    Whether to return the full basis function set, or remove
    the columns associated with self._nC.

Returns
-------
H : NDArray
    The basis function values.

Protected Functions

_nHint(self, JaxOrNumpyArray z, JaxOrNumpyArray d)

Internal method used to calcualte the basis function value.

Parameters
----------
z : NDArray
    Values to calculate the basis functions for.
d : NDArray
    Derivative order.

Returns
-------
H : NDArray
    Basis function values.

_Hint(self, JaxOrNumpyArray z, uint d)

Dummy function, this should never be called!

Protected Attributes

_m

_nC

_dim

_numC

_z0

_zf

_x0

_c

_numBasisFunc

_numBasisFuncFull

_w

_b