From 312bae32483c13031a1e1dc7d5e296ccae8005be Mon Sep 17 00:00:00 2001 From: art Date: Wed, 19 Feb 2020 19:51:45 -0600 Subject: [PATCH] superscript v 0.0.0.005 --- data analysis/superscript.py | 88 +++++++++++++++++++++++++++++++++++- 1 file changed, 86 insertions(+), 2 deletions(-) diff --git a/data analysis/superscript.py b/data analysis/superscript.py index 046f77fb..373a10be 100644 --- a/data analysis/superscript.py +++ b/data analysis/superscript.py @@ -3,10 +3,13 @@ # Notes: # setup: -__version__ = "0.0.0.004" +__version__ = "0.0.0.005" # changelog should be viewed using print(analysis.__changelog__) __changelog__ = """changelog: + 0.0.0.005: + - imported pickle + - created custom database object 0.0.0.004: - fixed simpleloop to actually return a vector 0.0.0.003: @@ -31,6 +34,7 @@ __all__ = [ from analysis import analysis as an from numba import jit import numpy as np +import pickle try: from analysis import trueskill as Trueskill except: @@ -88,7 +92,74 @@ def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match] return return_vector -def metricsloop(team_lookup, data, tests): # expects array with [Match] ([Teams], [Win/Loss]) +class database: + + data = {} + + elo_starting_score = 1500 + N = 1500 + K = 32 + + gl2_starting_score = 1500 + gl2_starting_rd = 350 + gl2_starting_vol = 0.06 + + def __init__(self, team_lookup): + super().__init__() + + for team in team_lookup: + + elo = elo_starting_score + gl2 = {"score": gl2_starting_score, "rd": gl2_starting_rd, "vol": gl2_starting_vol} + ts = Trueskill.Rating() + + data[str(team)] = {"elo": elo, "gl2": gl2, "ts": ts} + + def get_team(self, team): + + return data[team] + + def get_elo(self, team): + + return data[team]["elo"] + + def get_gl2(self, team): + + return data[team]["gl2"] + + def get_ts(self, team): + + return data[team]["ts"] + + def set_team(self, team, ndata): + + data[team] = ndata + + def set_elo(self, team, nelo): + + data[team]["elo"] = nelo + + def set_gl2(self, team, ngl2): + + data[team]["gl2"] = ngl2 + + def set_ts(self, team, nts): + + data[team]["ts"] = nts + + def save_database(self, location): + + pickle.dump(data, open(location, "wb")) + + def load_database(self, location): + + data = pickle.load(open(location, "rb")) + +def metricsloop(group_data, observations, database, tests): + + pass + +def metricsloop_dumb(team_lookup, data, tests): # expects array with [Match] ([Teams], [Win/Loss]) scores = [] @@ -111,6 +182,19 @@ def metricsloop(team_lookup, data, tests): # expects array with [Match] ([Teams] for match in data: groups = data[0] + + for group in groups: + + group_vector = [] + + for team in group: + + group_vector.append(scores[team]) + + group_ratings.append(group_vector) + observations = data[1] + new_group_ratings = [] + main() \ No newline at end of file