diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt deleted file mode 100644 index 0bbd1af..0000000 --- a/RELEASE_NOTES.txt +++ /dev/null @@ -1,155 +0,0 @@ -2016 07/13 - version 0.9.1.6 - -In karoo_gp_base_class.py - - enabled auto counting of labels (right column) in loaded data (data_y) - - re-ordered presentation of screen modes, in order of decreasing feedback [i, g, m, s] - - added argparse to further enhance karoo_gp_server.py as a scriptable tool --FINALLY! :) - -In karoo_gp_main.py - - removed user query for number of class labels - - re-ordered presentation of screen modes, in order of decreasing feedback [i, g, m, s] - -In karoo_go_server.py - - re-ordered presentation of screen modes, in order of decreasing feedback [i, g, m, s] - - argparse to further enhance karoo_gp_server.py as a scriptable tool - - - -2016 07/11 - version 0.9.1.5 - -In karoo_gp_base_class.py - - renamed kernel (fitness function) type from 'a' to 'r' for regression - - renamed all associated variable and methods to match switch from 'abs_value' to 'regression' - - reorganised validation methods to match order of fitness functions - - added [other] place holder to validation methods - -In karoo_gp_main.py - - renamed kernel (fitness function) type from 'a' to 'r' for regression - - adjusted upper boundary for qty of generations from 1000 to 100 - -In karoo_go_server.py - - renamed kernel (fitness function) type from 'a' to 'r' for regression - -In files/ data_ABS.csv and functions_ABS.csv were rename data_REGRESS.csv and functions_REGRESS.csv accordingly. - - - -2016 07/10-11 - version 0.9.1.4 - -In karoo_gp_base_class.py - - renamed variable 'tree_depth_max' to 'tree_depth_base' - - renamed variable 'tree_depth_adj' to 'tree_depth_max' - - renamed variable 'gp.pop_tree_depth_max' to 'gp.pop_tree_depth_base' - - enabled 2 children to be produced by each Crossover function - - extensive testing of Crossover in debug to validate process - - reduced # of crossover functions per run by 1/2 - - improved on-screen output for all 4 genetic operators - - removed not-in-use 'accuracy' test - - added 'Arguments required:' to each method notes - - edited a number of method notes - -In karoo_gp_main.py - - renamed variables (according to karoo_gp_base_class.py) - -In karoo_go_server.py - - renamed variables (according to karoo_gp_base_class.py) - - - -2016 07/08-09 - version 0.9.1.3 - -In karoo_gp_base_class.py - - added CTRL-C catch to the (pause) menu; removes potential to accidentally kill a run when attempting to - copy/paste an on-screen function to research notes (use the mouse instead). - - rebuilt each (pause) menu function for improved exception handling - - added the new gp.tree_depth_adj user defined variable to branch mutation and crossover, enabling Trees to grow - beyond their original size which adds opportunity for more complex solutions, as well as the unavoidable bloat - - reduced complexity of a few lines in both branch mutation and crossover methods - - tested, tested, tested - -In karoo_gp_main.py - - added CTRL-C catch to the at-launch user menu. - - renamed the method gp.fx_karoo_crossover_reproduction() to gp.fx_karoo_crossover() - - added user input for the new global variable gp.tree_depth_adj - -In karoo_go_server.py - - added new gp.tree_depth_adj variable - - - -2016 07/07 - version 0.9.1.2 - -In preparation for public launch of Karoo GP, a number of updates are complete or underway. - -The Quick Start Tutorial is being fully revised. A number of corrections were made, but more importantly, all new -content has been added relevant to preparation of datasets and the use of the Karoo GP Tools accordingly. The genetic -operators descriptions now feature visuals and revised descriptions, as to many other sections. - -In the karoo_gp/tools/ directory, all scripts have undergone updates, 2 of which now offer automated scaling and a -user interface that in the original versions were not present, as follows: - - karoo_data_sort.py (formerly karoo_features_sort.py) - This script now engages the user with a query for the number of class labels and the number of data points (rows) - for the new, randomly generated subset of the parent dataset. This script is designed to be used prior to - karoo_normalise.py. - - karoo_normalise.py - This script now auto-scales to any number of columns and rows (within the limit of your computer's capability), - and features a text-based user interface. This script is designed to be used following karoo_data_sort.py. - - karoo_multiclassifier.py - This script functions as before, but with a minor bug fixed in which the final class was mislabeled. - - karoo_iris_plot.py - This script functions as before, but with improved in-script documentation and cleaner code. - - -In development now are a number of updates and improvements to the base_class such that Karoo GP will more readily -conform to the GP standards, as follows: - -1) Karoo GP currently produces only 1 offspring for each parent, where it should produce 2. - -2) The tree generation method 'Ramped Half/Half', in its current state, produces a 50/50 split of Full and Grow -methods, not a graduated ramp through all depths. - -3) Karoo GP currently engages a bloat inhibitor, that is, an upper limit on tree depth which is maintained through -all modes of mutation and crossover. This will become a user defined setting such that it can be adjusted, enabling -growth of trees beyond the original, user defined limit. - -4) Karoo GP will be made to launch as a single, command-line function with all required parameters included, SciKit -Learn style. - - - -2015 12/23 - version 0.9.1.1 - -It was discovered that when loading external datasets, Karoo was yet extracting variables (terminals) from the data in -the files/ directory, according to the selected kernel. - -This is fixed. - - - -2015 11/04 - version 0.9.1.0 - -Initial development of Karoo GP began in February 2015, on a Python-based evolutionary algorithm for an MSc research -project at the University of Cape Town (UCT) / African Institute for Mathematical Sciences (AIMS) and the Square -Kilometer Array (SKA). The myriad debug statements evolved into the user interface while the classic Machine Learning -test cases became the built-in example runs. - -In the course of six months development, the code base grew to become a flexible, easy-to-use platform for Genetic -Programming. - -Karoo GP has been thoroughly tested on a 40-core server at the Square Kilometer Array offices in Cape Town, South -Africa, where for one month it chewed through 10,000 rows of data for up to 50 hours without incident. It is proved -as a fully functional, multi-core workhorse. - -With all development to date conducted locally, this version 0.9 marks the first release to github. - -This initial github release is private, shared with select collaborators only. Please do not distribute any part of -the code until it is made public. - -Kai Staats - -www.kaistaats.com/research/ -www.kaistaats.com/film/