analysis pkg 1.0.0.001

analysis-master/analysis.egg-info/PKG-INFO

@@ -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

analysis-master/build/lib/analysis/analysis.py

@@ -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
 

analysis-master/setup.py

@@ -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",

data analysis/superscript.py

@@ -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