alu/tra-analysis
1
0
Fork 0
mirror of https://github.com/titanscouting/tra-analysis.git synced 2024-12-27 01:59:08 +00:00
Code Issues Packages Projects Releases Wiki Activity

refactor

Browse Source
This commit is contained in:
art 2019-10-05 16:53:03 -05:00
parent 92f376e598
commit 6663eb3d00
1 changed files with 7 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
data analysis/analysis/analysis.py
View File

@ -168,6 +168,7 @@ __all__ = [
'regression',
'elo',
'gliko2',
'trueskill',
'r_squared',
'mse',
'rms',
@ -186,13 +187,13 @@ from numba import jit
import numpy as np
import math
try:
from analysis import regression
from analysis import regression as Regression
except:
pass
try:
from analysis import trueskill as ts
from analysis import trueskill as Trueskill
except:
import trueskill as ts
import trueskill as Trueskill
from sklearn import metrics
from sklearn import preprocessing
import torch
@ -341,14 +342,14 @@ def trueskill(teams_data, observations):#teams_data is array of array of tuples
team_temp = []
for player in team:
if player != None:
player = ts.Rating(player[0], player[1])
player = Trueskill.Rating(player[0], player[1])
team_temp.append(player)
else:
player = ts.Rating()
player = Trueskill.Rating()
team_temp.append(player)
team_ratings.append(team_temp)
return ts.rate(teams_data, observations)
return Trueskill.rate(teams_data, observations)
@jit(forceobj=True)
def r_squared(predictions, targets): # assumes equal size inputs