removed modules dir; removed date-time stamp from files

pull/4/head
Kai Staats 2015-11-04 13:37:32 +02:00
parent d6c7254133
commit 7ace385ab5
6 changed files with 2486 additions and 10 deletions

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@ -2,7 +2,6 @@
# Use Genetic Programming for Classification and Symbolic Regression
# by Kai Staats, MSc UCT / AIMS
# Much thanks to Emmanuel Dufourq and Arun Kumar for their support, guidance, and free psychotherapy sessions
# ver. 20151018
'''
A NOTE TO THE NEWBIE, EXPERT, AND BRAVE
@ -11,7 +10,7 @@ this application. While your computer will not burst into flames nor will the su
likely find more enjoyment of this particular flavour of GP with a little understanding of its intent and design.
'''
import sys; sys.path.append('modules/') # add the directory 'modules' to the current path
import sys # sys.path.append('modules/') # add the directory 'modules' to the current path
import karoo_gp_base_class; gp = karoo_gp_base_class.Base_GP()
#++++++++++++++++++++++++++++++++++++++++++

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@ -2,9 +2,8 @@
# Use Genetic Programming for Classification and Symbolic Regression
# by Kai Staats, MSc UCT / AIMS
# Much thanks to Emmanuel Dufourq and Arun Kumar for their support, guidance, and free psychotherapy sessions
# ver. 20151018
import sys; sys.path.append('modules/') # add the directory 'modules' to the current path
import sys # sys.path.append('modules/') # add the directory 'modules' to the current path
import karoo_gp_base_class; gp = karoo_gp_base_class.Base_GP()
# parameters configuration

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@ -1,7 +1,6 @@
# Karoo Feature Set Prep
# Prepare a balanced feature set
# by Kai Staats, MSc UCT / AIMS and Arun Kumar, PhD
# ver. 20151020
import sys
import numpy as np

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@ -1,7 +1,6 @@
# Karoo GP Iris Plot
# Plot a function generated by Karoo GP against a scatter of the Iris data
# by Kai Staats, MSc UCT / AIMS and Arun Kumar, PhD
# ver. 20151018
# See https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ for a good plotting tutorial
@ -9,9 +8,9 @@ import numpy as np
import matplotlib.pyplot as mpl
from mpl_toolkits.mplot3d import Axes3D
# data = np.loadtxt('files/Iris_dataset/data_IRIS_setosa-vs-versicolor_3-col_PLOT.csv', delimiter=',', dtype = str)
# data = np.loadtxt('files/Iris_dataset/data_IRIS_versicolor-vs-virginica_3-col_PLOT.csv', delimiter=',', dtype = str)
data = np.loadtxt('files/Iris_dataset/data_IRIS_virginica-vs-setosa_3-col_PLOT.csv', delimiter=',', dtype = str)
# data = np.loadtxt('../files/Iris_dataset/data_IRIS_setosa-vs-versicolor_3-col_PLOT.csv', delimiter=',', dtype = str)
# data = np.loadtxt('../files/Iris_dataset/data_IRIS_versicolor-vs-virginica_3-col_PLOT.csv', delimiter=',', dtype = str)
data = np.loadtxt('../files/Iris_dataset/data_IRIS_virginica-vs-setosa_3-col_PLOT.csv', delimiter=',', dtype = str)
# http://stn.spotfire.com/spotfire_client_help/norm/norm_normalizing_columns.htm
# to scale between 0 and 1: n - min(list) / (max(list) - min(list))

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# Karoo Multiclass Classifer Test
# Play with quantity of class labels against a range of results
# by Kai Staats, MSc UCT / AIMS
# ver. 20151018
from numpy import arange