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analysis.py v 1.1.11.004
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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__ = "1.1.11.003"
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__version__ = "1.1.11.004"
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# changelog should be viewed using print(analysis.__changelog__)
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__changelog__ = """changelog:
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1.1.11.004:
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- bug fixes
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1.1.11.003:
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- bug fixes
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1.1.11.002:
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@ -378,7 +380,6 @@ def trueskill(teams_data, observations):#teams_data is array of array of tuples
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return Trueskill.rate(teams_data, observations)
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@jit(forceobj=True)
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class RegressionMetrics():
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def __new__(self, predictions, targets):
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@ -397,7 +398,6 @@ class RegressionMetrics():
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return math.sqrt(sklearn.metrics.mean_squared_error(targets, predictions))
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@jit(forceobj=True)
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class ClassificationMetrics():
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def __new__(self, predictions, targets):
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@ -479,8 +479,6 @@ def knn_regressor(data, outputs, test_size, n_neighbors = 5, weights = "uniform"
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return model, RegressionMetrics(predictions, outputs_test)
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@jit(forceobj=True)
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class NaiveBayes:
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def guassian(self, data, labels, test_size = 0.3, priors = None, var_smoothing = 1e-09):
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@ -519,7 +517,6 @@ class NaiveBayes:
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return model, ClassificationMetrics(predictions, labels_test)
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@jit(forceobj=True)
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class SVM:
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class CustomKernel:
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