analysis.py v 1.1.6.002

data analysis/analysis/analysis.py

@@ -7,68 +7,70 @@
 #    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:
+        - changed layout of __changelog to be vscode friendly
+    1.1.6.001:
         - added additional hyperparameters to decisiontree()
-1.1.6.000:
+    1.1.6.000:
         - fixed __version__
         - fixed __all__ order
         - added decisiontree()
-1.1.5.003:
+    1.1.5.003:
         - added pca
-1.1.5.002:
+    1.1.5.002:
         - reduced import list
         - added kmeans clustering engine
-1.1.5.001:
+    1.1.5.001:
         - simplified regression by using .to(device)
-1.1.5.000:
+    1.1.5.000:
         - added polynomial regression to regression(); untested
-1.1.4.000:
+    1.1.4.000:
         - added trueskill()
-1.1.3.002:
+    1.1.3.002:
         - renamed regression class to Regression, regression_engine() to regression gliko2_engine class to Gliko2
-1.1.3.001:
+    1.1.3.001:
         - changed glicko2() to return tuple instead of array
-1.1.3.000:
+    1.1.3.000:
         - added glicko2_engine class and glicko()
         - verified glicko2() accuracy
-1.1.2.003:
+    1.1.2.003:
         - fixed elo()
-1.1.2.002:
+    1.1.2.002:
         - added elo()
         - elo() has bugs to be fixed
-1.1.2.001:
+    1.1.2.001:
         - readded regrression import
-1.1.2.000:
+    1.1.2.000:
         - integrated regression.py as regression class
         - removed regression import
         - fixed metadata for regression class
         - fixed metadata for analysis class
-1.1.1.001:
+    1.1.1.001:
         - regression_engine() bug fixes, now actaully regresses
-1.1.1.000:
+    1.1.1.000:
         - added regression_engine()
         - added all regressions except polynomial
-1.1.0.007:
+    1.1.0.007:
         - updated _init_device()
-1.1.0.006:
+    1.1.0.006:
         - removed useless try statements
-1.1.0.005:
+    1.1.0.005:
         - removed impossible outcomes
-1.1.0.004:
+    1.1.0.004:
         - added performance metrics (r^2, mse, rms)
-1.1.0.003:
+    1.1.0.003:
         - resolved nopython mode for mean, median, stdev, variance
-1.1.0.002:
+    1.1.0.002:
         - snapped (removed) majority of uneeded imports
         - forced object mode (bad) on all jit
         - TODO: stop numba complaining about not being able to compile in nopython mode
-1.1.0.001:
+    1.1.0.001:
         - removed from sklearn import * to resolve uneeded wildcard imports
-1.1.0.000:
+    1.1.0.000:
         - removed c_entities,nc_entities,obstacles,objectives from __all__
         - applied numba.jit to all functions
         - depreciated and removed stdev_z_split
@@ -77,93 +79,93 @@ __changelog__ = """changelog:
         - depreciated and removed all nonessential functions (basic_analysis, benchmark, strip_data)
         - optimized z_normalize using sklearn.preprocessing.normalize
         - TODO: implement kernel/function based pytorch regression optimizer
-1.0.9.000:
+    1.0.9.000:
         - refactored
         - numpyed everything
         - removed stats in favor of numpy functions
-1.0.8.005:
+    1.0.8.005:
         - minor fixes
-1.0.8.004:
+    1.0.8.004:
         - removed a few unused dependencies
-1.0.8.003:
+    1.0.8.003:
         - added p_value function
-1.0.8.002:
+    1.0.8.002:
         - updated __all__ correctly to contain changes made in v 1.0.8.000 and v 1.0.8.001
-1.0.8.001:
+    1.0.8.001:
         - refactors
         - bugfixes
-1.0.8.000:
+    1.0.8.000:
         - depreciated histo_analysis_old
         - depreciated debug
         - altered basic_analysis to take array data instead of filepath
         - refactor
         - optimization
-1.0.7.002:
+    1.0.7.002:
         - bug fixes
-1.0.7.001:
+    1.0.7.001:
         - bug fixes
-1.0.7.000:
+    1.0.7.000:
         - added tanh_regression (logistical regression)
         - bug fixes
-1.0.6.005:
+    1.0.6.005:
         - added z_normalize function to normalize dataset
         - bug fixes
-1.0.6.004:
+    1.0.6.004:
         - bug fixes
-1.0.6.003:
+    1.0.6.003:
         - bug fixes
-1.0.6.002:
+    1.0.6.002:
         - bug fixes
-1.0.6.001:
+    1.0.6.001:
         - corrected __all__ to contain all of the functions
-1.0.6.000:
+    1.0.6.000:
         - added calc_overfit, which calculates two measures of overfit, error and performance
         - added calculating overfit to optimize_regression
-1.0.5.000:
+    1.0.5.000:
         - added optimize_regression function, which is a sample function to find the optimal regressions
         - optimize_regression function filters out some overfit funtions (functions with r^2 = 1)
         - planned addition: overfit detection in the optimize_regression function
-1.0.4.002:
+    1.0.4.002:
         - added __changelog__
         - updated debug function with log and exponential regressions
-1.0.4.001:
+    1.0.4.001:
         - added log regressions
         - added exponential regressions
         - added log_regression and exp_regression to __all__
-1.0.3.008:
+    1.0.3.008:
         - added debug function to further consolidate functions
-1.0.3.007:
+    1.0.3.007:
         - added builtin benchmark function
         - added builtin random (linear) data generation function
         - added device initialization (_init_device)
-1.0.3.006:
+    1.0.3.006:
         - reorganized the imports list to be in alphabetical order
         - added search and regurgitate functions to c_entities, nc_entities, obstacles, objectives
-1.0.3.005:
+    1.0.3.005:
         - major bug fixes
         - updated historical analysis
         - depreciated old historical analysis
-1.0.3.004:
+    1.0.3.004:
         - added __version__, __author__, __all__
         - added polynomial regression
         - added root mean squared function
         - added r squared function
-1.0.3.003:
+    1.0.3.003:
         - bug fixes
         - added c_entities
-1.0.3.002:
+    1.0.3.002:
         - bug fixes
         - added nc_entities, obstacles, objectives
         - consolidated statistics.py to analysis.py
-1.0.3.001:
+    1.0.3.001:
         - compiled 1d, column, and row basic stats into basic stats function
-1.0.3.000:
+    1.0.3.000:
         - added historical analysis function
-1.0.2.xxx:
+    1.0.2.xxx:
         - added z score test
-1.0.1.xxx:
+    1.0.1.xxx:
         - major bug fixes
-1.0.0.xxx:
+    1.0.0.xxx:
         - added loading csv
         - added 1d, column, row basic stats
 """