analysis pkg 1.0.0.001

This commit is contained in:
ltcptgeneral 2020-03-04 17:54:30 -06:00
parent dd3d84f46a
commit 0d120e572f
7 changed files with 21 additions and 11 deletions

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@ -1,6 +1,6 @@
Metadata-Version: 2.1
Name: analysis
Version: 1.0.0.0
Version: 1.0.0.1
Summary: analysis package developed by Titan Scouting for The Red Alliance
Home-page: https://github.com/titanscout2022/tr2022-strategy
Author: The Titan Scouting Team

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@ -7,10 +7,12 @@
# current benchmark of optimization: 1.33 times faster
# setup:
__version__ = "1.1.12.003"
__version__ = "1.1.12.004"
# changelog should be viewed using print(analysis.__changelog__)
__changelog__ = """changelog:
1.1.12.004:
- renamed gliko to glicko
1.1.12.003:
- removed depreciated code
1.1.12.002:
@ -235,7 +237,7 @@ __all__ = [
'histo_analysis',
'regression',
'elo',
'gliko2',
'glicko2',
'trueskill',
'RegressionMetrics',
'ClassificationMetrics',
@ -249,7 +251,7 @@ __all__ = [
'random_forest_classifier',
'random_forest_regressor',
'Regression',
'Gliko2',
'Glicko2',
# all statistics functions left out due to integration in other functions
]
@ -390,9 +392,9 @@ def elo(starting_score, opposing_score, observed, N, K):
return starting_score + K*(np.sum(observed) - np.sum(expected))
@jit(forceobj=True)
def gliko2(starting_score, starting_rd, starting_vol, opposing_score, opposing_rd, observations):
def glicko2(starting_score, starting_rd, starting_vol, opposing_score, opposing_rd, observations):
player = Gliko2(rating = starting_score, rd = starting_rd, vol = starting_vol)
player = Glicko2(rating = starting_score, rd = starting_rd, vol = starting_vol)
player.update_player([x for x in opposing_score], [x for x in opposing_rd], observations)
@ -852,7 +854,7 @@ class Regression:
optim.step()
return kernel
class Gliko2:
class Glicko2:
_tau = 0.5

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@ -2,7 +2,7 @@ import setuptools
setuptools.setup(
name="analysis", # Replace with your own username
version="1.0.0.000",
version="1.0.0.001",
author="The Titan Scouting Team",
author_email="titanscout2022@gmail.com",
description="analysis package developed by Titan Scouting for The Red Alliance",

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@ -163,6 +163,14 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
red = load_metrics(apikey, competition, matches, "red")
blu = load_metrics(apikey, competition, matches, "blue")
elo_red_total = 0
elo_blu_total = 0
gl2_red_total = 0
gl2_blu_total + 0
for team in red:
return
def load_metrics(apikey, competition, matches, group_name):
@ -177,7 +185,7 @@ def load_metrics(apikey, competition, matches, group_name):
if d.get_team_metrics_data(apikey, competition, team) == None:
elo = {"score": 1500, "N": 1500, "K": 1500}
elo = {"score": 1500}
gl2 = {"score": 1500, "rd": 250, "vol": 0.06}
ts = {"mu": 25, "sigma": 25/3}
@ -202,8 +210,8 @@ testing()
Metrics Defaults:
elo starting score = 1500
elo N = 1500
elo K = 32
elo N = 400
elo K = 24
gl2 starting score = 1500
gl2 starting rd = 350