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removed \n s
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@ -55,44 +55,28 @@ except:
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import trueskill as Trueskill
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import trueskill as Trueskill
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def main():
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def main():
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while(True):
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while(True):
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config = load_config("config.csv")
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config = load_config("config.csv")
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simpleloop(data, config)
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simpleloop(data, config)
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def load_config(file):
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def load_config(file):
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config_vector = {}
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config_vector = {}
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file = an.load_csv(file)
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file = an.load_csv(file)
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for line in file:
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for line in file:
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config_vector[line[0]] = line[1:]
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config_vector[line[0]] = line[1:]
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return config_vector
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return config_vector
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def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
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def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
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return_vector = {}
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return_vector = {}
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for team in data:
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for team in data:
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variable_vector = {}
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variable_vector = {}
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for variable in data[team]:
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for variable in data[team]:
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test_vector = {}
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test_vector = {}
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variable_data = data[team][variable]
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variable_data = data[team][variable]
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for test in tests[variable]:
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for test in tests[variable]:
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test_vector[test] = simplestats(variable_data, test)
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test_vector[test] = simplestats(variable_data, test)
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variable_vector[variable] = test_vector
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variable_vector[variable] = test_vector
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return_vector[team] = variable_vector
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return_vector[team] = variable_vector
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return return_vector
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return return_vector
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@ -100,31 +84,24 @@ def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
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def simplestats(data, test):
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def simplestats(data, test):
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if(test == "simple_stats"):
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if(test == "simple_stats"):
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return an.basic_stats(data)
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return an.basic_stats(data)
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if(test == "historical_analysis"):
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if(test == "historical_analysis"):
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return an.histo_analysis(data)
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return an.histo_analysis(data)
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if(test == "regression_linear"):
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if(test == "regression_linear"):
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return an.regression('cpu', list(range(len(data))), data, ['lin'])
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return an.regression('cpu', list(range(len(data))), data, ['lin'])
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if(test == "regression_logarithmic"):
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if(test == "regression_logarithmic"):
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return an.regression('cpu', list(range(len(data))), data, ['log'])
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return an.regression('cpu', list(range(len(data))), data, ['log'])
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if(test == "regression_exponential"):
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if(test == "regression_exponential"):
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return an.regression('cpu', list(range(len(data))), data, ['exp'])
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return an.regression('cpu', list(range(len(data))), data, ['exp'])
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if(test == "regression_polynomial"):
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if(test == "regression_polynomial"):
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return an.regression('cpu', list(range(len(data))), data, ['ply'])
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return an.regression('cpu', list(range(len(data))), data, ['ply'])
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if(test == "regression_sigmoidal"):
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if(test == "regression_sigmoidal"):
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return an.regression('cpu', list(range(len(data))), data, ['sig'])
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return an.regression('cpu', list(range(len(data))), data, ['sig'])
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def metricsloop(group_data, observations, database, tests): # listener based metrics update
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def metricsloop(group_data, observations, database, tests): # listener based metrics update
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