PolySurfaceModel = class PolySurfaceModel(LinearModel) |
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PolySurfaceModel(degree, copy=None, **kwargs)
General polynomial surface model of arbitrary degree.
f( x,y:p ) = ∑_d ∑_k p_n * x^{d-k} * y^k )
where the first sum is over d running from 0 to degree ( inclusive )
and the second sum is over k running from 0 to d ( inclusive ).
The index n is just incrementing, making all p's different.
It is a 2-dimensional linear model.
Examples
--------
poly = PolySurfaceModel( 3 ) # 3rd degree polynomial
print poly.getNumberOfParameters( ) # 10
Author Do Kester
Attributes
----------
degree : int
degree of the polynomial
Attributes from Model
---------------------
npchain, parameters, stdevs, xUnit, yUnit
Attributes from FixedModel
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npmax, fixed, parlist, mlist
Attributes from BaseModel
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npbase, ndim, priors, posIndex, nonZero,
tiny, deltaP, parNames |
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- Method resolution order:
- PolySurfaceModel
- LinearModel
- Model
- FixedModel
- BaseModel
- builtins.object
Constructor:
- PolySurfaceModel( degree, copy=None, **kwargs )
- Polynominal surface of a certain degree. Two dimensions.
degree polysurface
0 p_0
1 p_0 + p_1 * x + p_2 * y
2 p_0 + p_1 * x + p_2 * y + p_3 * x^2 + p_4 * x * y + p_5 * y^2
3 p_0 + p_1 * x + p_2 * y + p_3 * x^2 + p_4 * x * y + p_5 * y^2 +
p_6 * x^3 + p_7 * x^2 * y + p_8 * x * y^2 + p_9 * y^3
etc.
The number of parameters is ( degree+2 ) * ( degree+1 ) / 2
Parameters
----------
degree : int
the degree of the polynomial.
copy : PolySurfaceModel
model to be copied
fixed : dictionary of {int:float|Model}
int list if parameters to fix permanently. Default None.
float|Model list of values for the fixed parameters.
Attribute fixed can only be set in the constructor.
See FixedModel
Methods defined here:
- baseDerivative( xdata, params )
- Return the derivative df/dx at each input (=x).
degree df/dx
0 0
1 p_1
2 p_1 + 2 * p_3 * x + p_4 * y
3 p_1 + 2 * p_3 * x + p_4 * y + 3 * p_6 * x^2 + 2 * p_7 * x * y + p_8 * y^2
degree df/dy
0 0
1 p_2
2 p_2 + p_4 * x + 2 * p_5 * y
3 p_2 + p_4 * x + 2 * p_5 * y + p_7 * x^2 + 2 * p_8 * x * y + 3 * p_9 * y^2
Parameters
----------
xdata : array_like
values at which to calculate the partials
params : array_like
parameters for the model.
- baseName()
- Returns a string representation of the model.
- baseParameterUnit( k )
- Return the unit of the indicated parameter.
Parameters k parameter number.
- basePartial( xdata, params, parlist=None )
- Returns the partials at the input values.
The partials are the powers of x,y ( xdata ) from 0 to degree.
Parameters
----------
xdata : array_like
values at which to calculate the result
params : array_like
values for the parameters.
- copy()
- Copy method.
Methods inherited from LinearModel:
Methods inherited from Model:
Overloaded operators and aliases
Other methods
- addModel( model )
- appendModel( model, operation )
- assignDF1( partial, i, dpi )
- assignDF2( partial, i, dpi )
- chainLength()
- correctParameters( params )
- derivative( xdata, param, useNum=False )
- divideModel( model )
- domain2Unit( dvalue, kpar=None )
- getIntegralUnit()
- getLimits()
- getLinearIndex()
- getNumberOfParameters()
- getParameterName( k )
- getParameterUnit( k )
- getPrior( k )
- hasLimits( fitindex=None )
- hasPriors( isBound=True )
- isDynamic()
- isMixed()
- isNullModel()
- isolateModel( k )
- multiplyModel( model )
- nextPrior()
- numDerivative( xdata, param )
- numPartial( xdata, param )
- operate( res, pars, next )
- partial( xdata, param, useNum=False )
- partialDomain2Unit( dvalue )
- pipeModel( model )
- pipe_0( dGd, dHdG)
- pipe_1( dGd, dHdG)
- pipe_2( dGd, dHdG)
- pipe_3( dGd, dHdG)
- pipe_4( dGdx, dHdG)
- pipe_5( dGdx, dHdG)
- pipe_6( dGdx, dHdG)
- pipe_7( dGdx, dHdG)
- pipe_8( dGdx, dHdG)
- pipe_9( dGdx, dHdG)
- result( xdata, param=None )
- selectPipe( ndim, ninter, ndout )
- setLimits( lowLimits=None, highLimits=None )
- setPrior( k, prior=None, **kwargs )
- shortName()
- strictNumericDerivative( xdata, param )
- strictNumericPartial( xdata, params, parlist=None )
- subtractModel( model )
- testPartial( xdata, params, silent=True )
- unit2Domain( uvalue, kpar=None )
Methods inherited from FixedModel:
Methods inherited from BaseModel:
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