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removed unessasary comments,
updated version and changelog
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@ -7,10 +7,12 @@
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# current benchmark of optimization: 1.33 times faster
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# current benchmark of optimization: 1.33 times faster
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# setup:
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# setup:
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__version__ = "3.0.5"
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__version__ = "3.0.6"
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# changelog should be viewed using print(analysis.__changelog__)
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# changelog should be viewed using print(analysis.__changelog__)
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__changelog__ = """changelog:
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__changelog__ = """changelog:
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3.0.6:
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- added docstrings
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3.0.5:
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3.0.5:
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- removed extra submodule imports
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- removed extra submodule imports
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- fixed/optimized header
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- fixed/optimized header
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@ -434,7 +436,6 @@ def z_score(point, mean, stdev):
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return score
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return score
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# expects 2d array, normalizes across all axes
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def z_normalize(array, *args):
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def z_normalize(array, *args):
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"""
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"""
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Applies sklearn.normalize(array, axis = args) on any arraylike parseable by numpy.
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Applies sklearn.normalize(array, axis = args) on any arraylike parseable by numpy.
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@ -450,7 +451,6 @@ def z_normalize(array, *args):
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return array
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return array
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# expects 2d array of [x,y]
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def histo_analysis(hist_data):
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def histo_analysis(hist_data):
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"""
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"""
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Calculates the mean and standard deviation of derivatives of (x,y) points. Requires at least 2 points to compute.
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Calculates the mean and standard deviation of derivatives of (x,y) points. Requires at least 2 points to compute.
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