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KernelModel = class KernelModel(NonLinearModel) |
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KernelModel(copy=None, kernel=Biweight, **kwargs)
Kernel Model, a Model build around an Kernel.
The KernelModel is defined as
f( x:p ) = p_0 * K( ( x - p_1 ) / p_2 )
where K( u ) is a selectable kernel function on the rescaled input u
u = ( x - p_1 ) / p_2.
p_0 is the amplitude
p_1 is the center
p_2 is the range.
The parameters are initialized at {amp,0,1}. the amplitude is such that the
function integrates to 1.0. They are listed in the table.
Several kernel functions predefined.
Beware: The "bound" models are unaware of anything outside their range.
Author: Do Kester
Examples
--------
>>> model = KernelModel( )
>>> model.kernel = Triweight()
Attributes
----------
kernel : Kernel
the kernel of this model
Attributes from Model
---------------------
npchain, parameters, stdevs, xUnit, yUnit
Attributes from FixedModel
--------------------------
npmax, fixed, parlist, mlist
Attributes from BaseModel
--------------------------
npbase, ndim, priors, posIndex, nonZero,
tiny, deltaP, parNames
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- Method resolution order:
- KernelModel
- NonLinearModel
- Model
- FixedModel
- BaseModel
- builtins.object
Constructor:
- KernelModel( copy=None, kernel=Biweight, **kwargs )
- Kernel Model.
Parameters
----------
copy : KernelModel
model to be copied
kernel : Kernel
kernel class (default = Biweight)
fixed : None or dictionary of {int:float|Model}
int index of parameter to fix permanently.
float|Model values for the fixed parameters.
Attribute fixed can only be set in the constructor.
See: FixedModel
Methods defined here:
- baseDerivative( xdata, params )
- Returns the derivative at the xdata value.
Parameters
----------
xdata : array_like
values at which to calculate the result
params : array_like
values for the parameters.
- baseName()
- Returns a string representation of the model.
- baseParameterUnit( k )
- Return the name of a parameter.
Parameters
----------
k : int
the kth parameter.
- basePartial( xdata, params, parlist=None )
- Returns the partials at the xdata value.
Parameters
----------
xdata : array_like
values at which to calculate the result
params : array_like
values for the parameters.
parlist : array_like
list of indices active parameters (or None for all)
- baseResult( xdata, params )
- Returns the result of the model function.
Parameters
----------
xdata : array_like
values at which to calculate the result
params : array_like
values for the parameters.
- copy()
- Copy method.
- isBound()
- Return true when the kernel is bound.
All non-zero values are between -1 and +1
Methods inherited from NonLinearModel:
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()
- isNullModel()
- isolateModel( k )
- multiplyModel( model )
- nextPrior()
- numDerivative( xdata, param )
- numPartial( xdata, param )
- operate( res, pars, next )
- 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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