analysis.py v 1.1.6.002

2024-12-27 09:59:10 +00:00 · 2019-11-05 12:56:53 -06:00 · 2019-11-05 12:56:53 -06:00 · 3c21512a46
commit 3c21512a46
parent bfa69bf070
1 changed files with 158 additions and 156 deletions
--- a/analysis/analysis/analysis.py
+++ b/analysis/analysis/analysis.py
@ -7,165 +7,167 @@
 #    current benchmark of optimization: 1.33 times faster
 # setup:
-__version__ = "1.1.6.001"
+__version__ = "1.1.6.002"
 # changelog should be viewed using print(analysis.__changelog__)
 __changelog__ = """changelog:
-1.1.6.001:
+    1.1.6.002:
-    - added additional hyperparameters to decisiontree()
+        - changed layout of __changelog to be vscode friendly
-1.1.6.000:
+    1.1.6.001:
-    - fixed __version__
+        - added additional hyperparameters to decisiontree()
-    - fixed __all__ order
+    1.1.6.000:
-    - added decisiontree()
+        - fixed __version__
-1.1.5.003:
+        - fixed __all__ order
-    - added pca
+        - added decisiontree()
-1.1.5.002:
+    1.1.5.003:
-    - reduced import list
+        - added pca
-    - added kmeans clustering engine
+    1.1.5.002:
-1.1.5.001:
+        - reduced import list
-    - simplified regression by using .to(device)
+        - added kmeans clustering engine
-1.1.5.000:
+    1.1.5.001:
-    - added polynomial regression to regression(); untested
+        - simplified regression by using .to(device)
-1.1.4.000:
+    1.1.5.000:
-    - added trueskill()
+        - added polynomial regression to regression(); untested
-1.1.3.002:
+    1.1.4.000:
-    - renamed regression class to Regression, regression_engine() to regression gliko2_engine class to Gliko2
+        - added trueskill()
-1.1.3.001:
+    1.1.3.002:
-    - changed glicko2() to return tuple instead of array
+        - renamed regression class to Regression, regression_engine() to regression gliko2_engine class to Gliko2
-1.1.3.000:
+    1.1.3.001:
-    - added glicko2_engine class and glicko()
+        - changed glicko2() to return tuple instead of array
-    - verified glicko2() accuracy
+    1.1.3.000:
-1.1.2.003:
+        - added glicko2_engine class and glicko()
-    - fixed elo()
+        - verified glicko2() accuracy
-1.1.2.002:
+    1.1.2.003:
-    - added elo()
+        - fixed elo()
-    - elo() has bugs to be fixed
+    1.1.2.002:
-1.1.2.001:
+        - added elo()
-    - readded regrression import
+        - elo() has bugs to be fixed
-1.1.2.000:
+    1.1.2.001:
-    - integrated regression.py as regression class
+        - readded regrression import
-    - removed regression import
+    1.1.2.000:
-    - fixed metadata for regression class
+        - integrated regression.py as regression class
-    - fixed metadata for analysis class
+        - removed regression import
-1.1.1.001:
+        - fixed metadata for regression class
-    - regression_engine() bug fixes, now actaully regresses
+        - fixed metadata for analysis class
-1.1.1.000:
+    1.1.1.001:
-    - added regression_engine()
+        - regression_engine() bug fixes, now actaully regresses
-    - added all regressions except polynomial
+    1.1.1.000:
-1.1.0.007:
+        - added regression_engine()
-    - updated _init_device()
+        - added all regressions except polynomial
-1.1.0.006:
+    1.1.0.007:
-    - removed useless try statements
+        - updated _init_device()
-1.1.0.005:
+    1.1.0.006:
-    - removed impossible outcomes
+        - removed useless try statements
-1.1.0.004:
+    1.1.0.005:
-    - added performance metrics (r^2, mse, rms)
+        - removed impossible outcomes
-1.1.0.003:
+    1.1.0.004:
-    - resolved nopython mode for mean, median, stdev, variance
+        - added performance metrics (r^2, mse, rms)
-1.1.0.002:
+    1.1.0.003:
-    - snapped (removed) majority of uneeded imports
+        - resolved nopython mode for mean, median, stdev, variance
-    - forced object mode (bad) on all jit
+    1.1.0.002:
-    - TODO: stop numba complaining about not being able to compile in nopython mode
+        - snapped (removed) majority of uneeded imports
-1.1.0.001:
+        - forced object mode (bad) on all jit
-    - removed from sklearn import * to resolve uneeded wildcard imports
+        - TODO: stop numba complaining about not being able to compile in nopython mode
-1.1.0.000:
+    1.1.0.001:
-    - removed c_entities,nc_entities,obstacles,objectives from __all__
+        - removed from sklearn import * to resolve uneeded wildcard imports
-    - applied numba.jit to all functions
+    1.1.0.000:
-    - depreciated and removed stdev_z_split
+        - removed c_entities,nc_entities,obstacles,objectives from __all__
-    - cleaned up histo_analysis to include numpy and numba.jit optimizations
+        - applied numba.jit to all functions
-    - depreciated and removed all regression functions in favor of future pytorch optimizer
+        - depreciated and removed stdev_z_split
-    - depreciated and removed all nonessential functions (basic_analysis, benchmark, strip_data)
+        - cleaned up histo_analysis to include numpy and numba.jit optimizations
-    - optimized z_normalize using sklearn.preprocessing.normalize
+        - depreciated and removed all regression functions in favor of future pytorch optimizer
-    - TODO: implement kernel/function based pytorch regression optimizer
+        - depreciated and removed all nonessential functions (basic_analysis, benchmark, strip_data)
-1.0.9.000:
+        - optimized z_normalize using sklearn.preprocessing.normalize
-    - refactored
+        - TODO: implement kernel/function based pytorch regression optimizer
-    - numpyed everything
+    1.0.9.000:
-    - removed stats in favor of numpy functions
+        - refactored
-1.0.8.005:
+        - numpyed everything
-    - minor fixes
+        - removed stats in favor of numpy functions
-1.0.8.004:
+    1.0.8.005:
-    - removed a few unused dependencies
+        - minor fixes
-1.0.8.003:
+    1.0.8.004:
-    - added p_value function
+        - removed a few unused dependencies
-1.0.8.002:
+    1.0.8.003:
-    - updated __all__ correctly to contain changes made in v 1.0.8.000 and v 1.0.8.001
+        - added p_value function
-1.0.8.001:
+    1.0.8.002:
-    - refactors
+        - updated __all__ correctly to contain changes made in v 1.0.8.000 and v 1.0.8.001
-    - bugfixes
+    1.0.8.001:
-1.0.8.000:
+        - refactors
-    - depreciated histo_analysis_old
+        - bugfixes
-    - depreciated debug
+    1.0.8.000:
-    - altered basic_analysis to take array data instead of filepath
+        - depreciated histo_analysis_old
-    - refactor
+        - depreciated debug
-    - optimization
+        - altered basic_analysis to take array data instead of filepath
-1.0.7.002:
+        - refactor
-    - bug fixes
+        - optimization
-1.0.7.001:
+    1.0.7.002:
-    - bug fixes
+        - bug fixes
-1.0.7.000:
+    1.0.7.001:
-    - added tanh_regression (logistical regression)
+        - bug fixes
-    - bug fixes
+    1.0.7.000:
-1.0.6.005:
+        - added tanh_regression (logistical regression)
-    - added z_normalize function to normalize dataset
+        - bug fixes
-    - bug fixes
+    1.0.6.005:
-1.0.6.004:
+        - added z_normalize function to normalize dataset
-    - bug fixes
+        - bug fixes
-1.0.6.003:
+    1.0.6.004:
-    - bug fixes
+        - bug fixes
-1.0.6.002:
+    1.0.6.003:
-    - bug fixes
+        - bug fixes
-1.0.6.001:
+    1.0.6.002:
-    - corrected __all__ to contain all of the functions
+        - bug fixes
-1.0.6.000:
+    1.0.6.001:
-    - added calc_overfit, which calculates two measures of overfit, error and performance
+        - corrected __all__ to contain all of the functions
-    - added calculating overfit to optimize_regression
+    1.0.6.000:
-1.0.5.000:
+        - added calc_overfit, which calculates two measures of overfit, error and performance
-    - added optimize_regression function, which is a sample function to find the optimal regressions
+        - added calculating overfit to optimize_regression
-    - optimize_regression function filters out some overfit funtions (functions with r^2 = 1)
+    1.0.5.000:
-    - planned addition: overfit detection in the optimize_regression function
+        - added optimize_regression function, which is a sample function to find the optimal regressions
-1.0.4.002:
+        - optimize_regression function filters out some overfit funtions (functions with r^2 = 1)
-    - added __changelog__
+        - planned addition: overfit detection in the optimize_regression function
-    - updated debug function with log and exponential regressions
+    1.0.4.002:
-1.0.4.001:
+        - added __changelog__
-    - added log regressions
+        - updated debug function with log and exponential regressions
-    - added exponential regressions
+    1.0.4.001:
-    - added log_regression and exp_regression to __all__
+        - added log regressions
-1.0.3.008:
+        - added exponential regressions
-    - added debug function to further consolidate functions
+        - added log_regression and exp_regression to __all__
-1.0.3.007:
+    1.0.3.008:
-    - added builtin benchmark function
+        - added debug function to further consolidate functions
-    - added builtin random (linear) data generation function
+    1.0.3.007:
-    - added device initialization (_init_device)
+        - added builtin benchmark function
-1.0.3.006:
+        - added builtin random (linear) data generation function
-    - reorganized the imports list to be in alphabetical order
+        - added device initialization (_init_device)
-    - added search and regurgitate functions to c_entities, nc_entities, obstacles, objectives
+    1.0.3.006:
-1.0.3.005:
+        - reorganized the imports list to be in alphabetical order
-    - major bug fixes
+        - added search and regurgitate functions to c_entities, nc_entities, obstacles, objectives
-    - updated historical analysis
+    1.0.3.005:
-    - depreciated old historical analysis
+        - major bug fixes
-1.0.3.004:
+        - updated historical analysis
-    - added __version__, __author__, __all__
+        - depreciated old historical analysis
-    - added polynomial regression
+    1.0.3.004:
-    - added root mean squared function
+        - added __version__, __author__, __all__
-    - added r squared function
+        - added polynomial regression
-1.0.3.003:
+        - added root mean squared function
-    - bug fixes
+        - added r squared function
-    - added c_entities
+    1.0.3.003:
-1.0.3.002:
+        - bug fixes
-    - bug fixes
+        - added c_entities
-    - added nc_entities, obstacles, objectives
+    1.0.3.002:
-    - consolidated statistics.py to analysis.py
+        - bug fixes
-1.0.3.001:
+        - added nc_entities, obstacles, objectives
-    - compiled 1d, column, and row basic stats into basic stats function
+        - consolidated statistics.py to analysis.py
-1.0.3.000:
+    1.0.3.001:
-    - added historical analysis function
+        - compiled 1d, column, and row basic stats into basic stats function
-1.0.2.xxx:
+    1.0.3.000:
-    - added z score test
+        - added historical analysis function
-1.0.1.xxx:
+    1.0.2.xxx:
-    - major bug fixes
+        - added z score test
-1.0.0.xxx:
+    1.0.1.xxx:
-    - added loading csv
+        - major bug fixes
-    - added 1d, column, row basic stats
+    1.0.0.xxx:
        - added loading csv
        - added 1d, column, row basic stats
 """
 __author__ = (