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A Parameter is the basic Parameter going into Fit Model. The Parameter holds many attributes: value, vary, max_value, min_value, constraint expression. The value and min/max values will be be set to floats.
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Inherited from |
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value get value |
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Inherited from |
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x.__init__(...) initializes x; see help(type(x)) for signature
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repr(x)
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set up Minuit-style internal/external parameter transformation of min/max bounds. returns internal value for parameter from self.value (which holds the external, user-expected value). This internal values should actually be used in a fit.... As a side-effect, this also defines the self.from_internal method used to re-calculate self.value from the internal value, applying the inverse Minuit-style transformation. This method should be called prior to passing a Parameter to the user-defined objective function. This code borrows heavily from JJ Helmus' leastsqbound.py |
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Allow to reach any cierr directly with coded attribute name (fx. ci95), Allow to get min and max with the bounds attribute Allow to obtain procentual error |
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valueget value
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