analysis.py v 1.1.13.001

analysis pkg v 1.0.0.006
This commit is contained in:
art
2020-03-05 13:18:33 -06:00
parent e488b4a4d1
commit d0dc9a1047
9 changed files with 43 additions and 35 deletions

View File

@@ -70,8 +70,10 @@ __all__ = [
from analysis import analysis as an
import data as d
import time
import warnings
def main():
warnings.filterwarnings("ignore")
while(True):
current_time = time.time()
@@ -152,19 +154,19 @@ def simplestats(data, test):
return an.histo_analysis([list(range(len(data))), data])
if(test == "regression_linear"):
return an.regression('cpu', [list(range(len(data)))], [data], ['lin'], _iterations = 5000)
return an.regression(list(range(len(data))), data, ['lin'])
if(test == "regression_logarithmic"):
return an.regression('cpu', [list(range(len(data)))], [data], ['log'], _iterations = 5000)
return an.regression(list(range(len(data))), data, ['log'])
if(test == "regression_exponential"):
return an.regression('cpu', [list(range(len(data)))], [data], ['exp'], _iterations = 5000)
return an.regression(list(range(len(data))), data, ['exp'])
if(test == "regression_polynomial"):
return an.regression('cpu', [list(range(len(data)))], [data], ['ply'], _iterations = 5000)
return an.regression(list(range(len(data))), data, ['ply'])
if(test == "regression_sigmoidal"):
return an.regression('cpu', [list(range(len(data)))], [data], ['sig'], _iterations = 5000)
return an.regression(list(range(len(data))), data, ['sig'])
def push_to_database(apikey, competition, results, metrics):