alu/tra-analysis
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removed \n s

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art 2020-03-03 16:27:30 -06:00
parent c1cc90a32b
commit 0d5dea9bc9
1 changed files with 1 additions and 24 deletions
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25
data analysis/superscript.py
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@ -55,44 +55,28 @@ except:
import trueskill as Trueskill
def main():
while(True):
config = load_config("config.csv")
simpleloop(data, config)
def load_config(file):
config_vector = {}
file = an.load_csv(file)
for line in file:
config_vector[line[0]] = line[1:]
return config_vector
def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
return_vector = {}
for team in data:
variable_vector = {}
for variable in data[team]:
test_vector = {}
variable_data = data[team][variable]
for test in tests[variable]:
test_vector[test] = simplestats(variable_data, test)
test_vector[test] = simplestats(variable_data, test)
variable_vector[variable] = test_vector
return_vector[team] = variable_vector
return return_vector
@ -100,31 +84,24 @@ def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
def simplestats(data, test):
if(test == "simple_stats"):
return an.basic_stats(data)
if(test == "historical_analysis"):
return an.histo_analysis(data)
if(test == "regression_linear"):
return an.regression('cpu', list(range(len(data))), data, ['lin'])
if(test == "regression_logarithmic"):
return an.regression('cpu', list(range(len(data))), data, ['log'])
if(test == "regression_exponential"):
return an.regression('cpu', list(range(len(data))), data, ['exp'])
if(test == "regression_polynomial"):
return an.regression('cpu', list(range(len(data))), data, ['ply'])
if(test == "regression_sigmoidal"):
return an.regression('cpu', list(range(len(data))), data, ['sig'])
def metricsloop(group_data, observations, database, tests): # listener based metrics update