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| class GaussModel( NonLinearModel ) | Source |
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Gaussian Model.
f( x:p ) = p0 * exp( -0.5 * ( ( x - p1 ) / p2 )2 )
p0 = amplitude
p1 = center
p2 = width
The parameters are initialized at 1.0, 0.0, 1.0.
Parameter 2 (width) is always kept stricktly positive (>0).
Examples
gauss = GaussModel( )
print( gauss )
Gauss: f( x:p ) = p_0 * exp( -0.5 * ( ( x - p_1 ) / p_2 )^2 )
print( gauss.getNumberOfParameters( ) )
3
print( gauss( numpy.arange( 11 ) - 5 ) )
[ 3.72665317e-06 3.35462628e-04 1.11089965e-02 1.35335283e-01
6.06530660e-01 1.00000000e+00 6.06530660e-01 1.35335283e-01
1.11089965e-02 3.35462628e-04 3.72665317e-06]
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
Alternate
GaussModel() is equivalent to KernelModel( kernel=Gauss() ).
| GaussModel( copy=None, **kwargs ) |
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Gaussian model.
Number of parameters is 3.
Parameters
- copy : GaussModel
to be copied - 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
| copy( ) |
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| baseResult( xdata, params ) |
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Parameters
- xdata : array_like
values at which to calculate the result - params : array_like
values for the parameters.
| basePartial( xdata, params, parlist=None ) |
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Parameters
- xdata : array_like
values at which to calculate the partials - params : array_like
values for the parameters. - parlist : array_like
list of indices active parameters (or None for all)
| baseDerivative( xdata, params ) |
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Parameters
- xdata : array_like
values at which to calculate the result - params : array_like
values for the parameters.
| baseName( ) |
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| baseParameterUnit( k ) |
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Parameters
- k : int
parameter number.
| Methods inherited from NonLinearModel |
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| Methods inherited from Model |
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- chainLength( )
- isNullModel( )
- isolateModel( k )
- addModel( model )
- subtractModel( model )
- multiplyModel( model )
- divideModel( model )
- pipeModel( model )
- appendModel( model, operation )
- correctParameters( params )
- result( xdata, param=None )
- operate( res, pars, next )
- derivative( xdata, param, useNum=False )
- selectPipe( ndim, ninter, ndout )
- 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 )
- shortName( )
- getNumberOfParameters( )
- numDerivative( xdata, param )
- numPartial( xdata, param )
- isDynamic( )
- hasPriors( isBound=True )
- getPrior( kpar )
- setPrior( kpar, prior=None, **kwargs )
- getParameterName( kpar )
- getParameterUnit( kpar )
- getIntegralUnit( )
- setLimits( lowLimits=None, highLimits=None )
- getLimits( )
- hasLimits( fitindex=None )
- unit2Domain( uvalue, kpar=None )
- domain2Unit( dvalue, kpar=None )
- partialDomain2Unit( dvalue )
- nextPrior( )
- getLinearIndex( )
- testPartial( xdata, params, silent=True )
- strictNumericPartial( xdata, params, parlist=None )
- assignDF1( partial, i, dpi )
- assignDF2( partial, i, dpi )
- strictNumericDerivative( xdata, param )
| Methods inherited from FixedModel |
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| Methods inherited from BaseModel |
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