version change and minor desc mod
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@ -4,7 +4,8 @@
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'''
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This is a toy script, designed to allow you to play with multiclass classification using the same underlying function
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as employed by Karoo GP.
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as employed by Karoo GP. Keep in mind that a linear multiclass classifier such as this is suited only for data which
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itself has a linear (eg: time series) component, else GP will struggle to force the data to fit.
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'''
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from numpy import arange
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@ -8,9 +8,9 @@ import numpy as np
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np.set_printoptions(linewidth = 320) # set the terminal to print 320 characters before line-wrapping in order to view Trees
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'''
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This script works with a raw dataset to prepare a new, normalised dataset. It does so by comparing all values in each
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given column, finding the maximum and minimum values, and then modifying each value to fall between a high of 1 and
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low of 0. The modified values are written to a new file, the original remaining untouched.
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This script works with a dataset to prepare a new, normalised dataset. It does so by comparing all values in each given
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column, finding the maximum and minimum values, and then modifying each value to fall between a high of 1 and low of 0.
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The modified values are written to a new file, the original remaining untouched.
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This script can be used *after* karoo_features_sort.py, and assumes no header has yet been applied to the .csv.
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'''
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