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docs: add changelog entry and module to class list
Signed-off-by: Dev Singh <dev@devksingh.com>
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@ -5,10 +5,12 @@
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# this module is cuda-optimized (as appropriate) and vectorized (except for one small part)
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# setup:
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__version__ = "0.0.4"
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__version__ = "0.0.5"
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# changelog should be viewed using print(analysis.regression.__changelog__)
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__changelog__ = """
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0.0.5:
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- add circle fitting with LSC and HyperFit
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0.0.4:
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- bug fixes
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- fixed changelog
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@ -41,7 +43,8 @@ __all__ = [
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'ExpRegKernel',
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'SigmoidalRegKernelArthur',
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'SGDTrain',
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'CustomTrain'
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'CustomTrain',
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'CircleFit'
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]
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import torch
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@ -278,4 +281,7 @@ class CircleFit:
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R_1 = self.ournp.mean(Ri_1)
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# calcualte residual error
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residu_1 = self.ournp.sum((Ri_1-R_1)**2)
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return xc_1, yc_1, R_1, residu_1
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return xc_1, yc_1, R_1, residu_1
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def HyperFit(self):
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raise AttributeError("HyperFit not yet implemented")
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pass
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