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analysis.py v 1.1.11.005
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@ -7,10 +7,12 @@
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# current benchmark of optimization: 1.33 times faster
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# setup:
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__version__ = "1.1.11.004"
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__version__ = "1.1.11.005"
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# changelog should be viewed using print(analysis.__changelog__)
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__changelog__ = """changelog:
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1.1.11.005:
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- added min and max for basic_stats
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1.1.11.004:
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- bug fixes
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1.1.11.003:
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@ -270,8 +272,10 @@ def basic_stats(data):
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_median = median(data_t)
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_stdev = stdev(data_t)
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_variance = variance(data_t)
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_min = npmin(data_t)
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_max = npmax()
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return _mean, _median, _stdev, _variance
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return _mean, _median, _stdev, _variance, _min, _max
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# returns z score with inputs of point, mean and standard deviation of spread
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@jit(forceobj=True)
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@ -432,6 +436,16 @@ def variance(data):
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return np.var(data)
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@jit(nopython=True)
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def npmin(data):
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return np.amin(data)
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@jit(nopython=True)
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def npmax(data):
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return np.amax(data)
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@jit(forceobj=True)
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def kmeans(data, n_clusters=8, init="k-means++", n_init=10, max_iter=300, tol=0.0001, precompute_distances="auto", verbose=0, random_state=None, copy_x=True, n_jobs=None, algorithm="auto"):
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