alu/tra-analysis
1
0
Fork 0
mirror of https://github.com/titanscouting/tra-analysis.git synced 2024-09-20 08:57:56 +00:00
Code Issues Packages Projects Releases Wiki Activity

analysis.py v 2.2.1

Browse Source 
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
This commit is contained in:
Arthur Lu 2020-08-10 21:25:25 +00:00
parent 135350293c
commit c803208eb8
1 changed files with 6 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
analysis-master/tra_analysis/analysis.py
View File

@ -7,10 +7,12 @@
# current benchmark of optimization: 1.33 times faster # current benchmark of optimization: 1.33 times faster
# setup: # setup:
__version__ = "2.2.0" __version__ = "2.2.1"
# changelog should be viewed using print(analysis.__changelog__) # changelog should be viewed using print(analysis.__changelog__)
__changelog__ = """changelog: __changelog__ = """changelog:
2.2.1:
changed all references to parent package analysis to tra_analysis
2.2.0: 2.2.0:
- added Sort class - added Sort class
- added several array sorting functions to Sort class including: - added several array sorting functions to Sort class including:
@ -345,8 +347,8 @@ __all__ = [
# imports (now in alphabetical order! v 0.3.006): # imports (now in alphabetical order! v 0.3.006):
import csv import csv
from analysis.metrics import elo as Elo from tra_analysis.metrics import elo as Elo
from analysis.metrics import glicko2 as Glicko2 from tra_analysis.metrics import glicko2 as Glicko2
import math import math
import numba import numba
from numba import jit from numba import jit
@ -355,7 +357,7 @@ import scipy
from scipy import optimize, stats from scipy import optimize, stats
import sklearn import sklearn
from sklearn import preprocessing, pipeline, linear_model, metrics, cluster, decomposition, tree, neighbors, naive_bayes, svm, model_selection, ensemble from sklearn import preprocessing, pipeline, linear_model, metrics, cluster, decomposition, tree, neighbors, naive_bayes, svm, model_selection, ensemble
from analysis.metrics import trueskill as Trueskill from tra_analysis.metrics import trueskill as Trueskill
import warnings import warnings
class error(ValueError): class error(ValueError):