Multi-dimensional isotropic normal distribution function with capped min/max values.
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Multi-dimensional isotropic normal distribution function with capped min/max values.
- See also
- WmICFunction_Gaussian
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def | __init__ (self, name, variable, center=None, std_dev=None, minimum=None, maximum=None, average=None, variable_components=None) |
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def | __init__ (self, name, req_attrs, opt_attrs=None, variables=None, const_variables=None, sub_applications=None) |
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def | map_components (self, comp_map) |
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def | variables (self) |
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def | const_variables (self) |
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def | components (self) |
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def | const_components (self) |
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def | attrs (self, stage=None) |
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def | __init__ (self, name, applications, req_attrs, opt_attrs=None, extra_components=None, extra_const_components=None) |
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def | convert_variable_to_components_list (self, variable, variable_components=None) |
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def | convert_variables_to_components_list (self, variables, variables_components=None) |
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def | convert_components_to_indexes (self, comps_list) |
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def | internal_components (self) |
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def | internal_const_components (self) |
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def | map_components (self, comp_map) |
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def | generate (self, start=None, stop=None, stride=1, explode_name=True, explode_args=True) |
| generates a list of blocks representing this pywarp object
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◆ __init__()
def warpy.apps.functions.arbitrary.gaussian.__init__ |
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self, |
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name, |
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variable, |
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center = None , |
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std_dev = None , |
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minimum = None , |
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maximum = None , |
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average = None , |
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variable_components = None |
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) |
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- Parameters
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name | |
center | not used |
std_dev | standard deviation |
average | position of the gaussian center |
minimum | minimum value of gaussian |
maximum | maximum value of gaussian |
Reimplemented from warpy.apps.application.application.
The documentation for this class was generated from the following file: