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202 Commits 7 Branches 16 Tags 52 MiB
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72 Commits

Author SHA1 Message Date
ltcptgeneral
5f56301c2f created docs 2018-12-01 21:02:53 -06:00
ltcptgeneral
ca2f7d0d0b a 2018-12-01 14:51:50 -06:00
ltcptgeneral
52150f42e4 Update analysis.cpython-37.pyc 2018-12-01 14:51:38 -06:00
ltcptgeneral
bb934ecb1e analysis.py - v 1.0.7.002 
changelog:
	- bug fixes
 2018-11-29 12:58:53 -06:00
ltcptgeneral
6802b7aeea analysis.py - v 1.0.7.001 
changelog:
	- bug fixes
 2018-11-29 12:36:25 -06:00
ltcptgeneral
cffad6514e update analysis.py 2018-11-29 09:33:18 -06:00
ltcptgeneral
3fbd7e3f90 Update analysis.py 
a quick update
 2018-11-29 09:32:27 -06:00
ltcptgeneral
d394f5df69 Update requirements.txt 2018-11-29 09:31:55 -06:00
ltcptgeneral
b25983f97c updated stuff 2018-11-29 09:27:08 -06:00
ltcptgeneral
f94bf31247 Create analysis.cpython-37.pyc 2018-11-29 09:04:17 -06:00
ltcptgeneral
61b6c6efdd removes stuff 2018-11-29 09:00:47 -06:00
ltcptgeneral
a9bab60595 removed generate_data.py 2018-11-29 08:53:41 -06:00
ltcptgeneral
23f932ecf3 analysis.py - v 1.0.7.000 
changelog:
        - added tanh_regression (logistical regression)
	- bug fixes
 2018-11-28 16:35:47 -06:00
ltcptgeneral
4c87c425f8 analysis.py - v 1.0.6.005 
changelog:
        - added z_normalize function to normalize dataset
	- bug fixes
 2018-11-28 14:29:32 -06:00
ltcptgeneral
a8b21f9f0f Update analysis.cpython-37.pyc 2018-11-28 11:35:21 -06:00
ltcptgeneral
ff6b5541ef analysis.py - v 1.0.6.004 
changelog:
	- bug fixes
 2018-11-28 11:12:37 -06:00
ltcptgeneral
6bfc258e85 analysis.py - v 1.0.6.002 
changelog:
	- bug fixes
 2018-11-28 10:17:18 -06:00
ltcptgeneral
655387df8f analysis.py - v 1.0.6.001 
changelog:
    - corrected __all__ to contain all of the functions
 2018-11-27 23:15:10 -06:00
ltcptgeneral
7c3cc13014 analysis.py - v 1.0.6.000 
changelog:
    - added calc_overfit, which calculates two measures of overfit, error and performance
    - added calculating overfit to optimize_regression
 2018-11-27 22:45:28 -06:00
ltcptgeneral
367b2fe60d analysis.py - v 1.0.5.000 
changelog:
    - 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
 2018-11-27 19:56:16 -06:00
ltcptgeneral
07a381b01b 6 2018-11-27 18:08:39 -06:00
ltcptgeneral
97f56a2ff2 5 
put data analysis into its own folder
 2018-11-26 23:21:38 -06:00