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Kai Staats 2016-07-08 23:03:44 -06:00
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tools/karoo_iris_plot.py
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@ -9,11 +9,11 @@ import matplotlib.pyplot as mpl
np.set_printoptions(linewidth = 320) # set the terminal to print 320 characters before line-wrapping in order to view Trees
'''
This is a functional, even it not fully automated script designed to help you visualise your 2D or 3D data against a
function generated by Karoo GP. The challenge comes with solving complex equations for a single variable such that
you have a plot-able function. If the algebra required is beyond your skills (or you forgot what you learned in high
school), tools such as Matlab may be of some assistance. If you desire to normalise your data in advance of using this
script, the Karoo GP normalisation script included in the karoo_gp/toos/ directory is very easy to use.
This is a functional, even if rudimentary script designed to help you visualise your 2D or 3D data against a function
generated by Karoo GP. The challenge comes with solving complex equations for a single variable such that you have a
plot-able function. If the algebra required is beyond your skills (or you forgot what you learned in high school),
tools such as Matlab may be of some assistance. If you desire to normalise your data in advance of using this script,
the Karoo GP normalisation script included in the karoo_gp/toos/ directory is very easy to use.
By default, this script plots a Karoo GP derived function against a scatter plot of one of the Iris datasets
included with this package: karoo_gp/files/Iris_dataset/data_IRIS_virginica-vs-setosa_3-col_PLOT.csv