spacecruft
/
karoo_gp
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

mod in-script user guide

pull/4/head
Kai Staats 2016-07-07 23:32:51 -06:00
parent 87c525e843
commit c94ab21006
2 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
tools/karoo_data_sort.py
View File

@ -13,7 +13,7 @@ the subset, if we grab a series of datapoints (rows in a .csv) from the larger d
the top, middle, or bottom, we will likely bias the new dataset and incorrectly train the machine learning algorithm.
Therefore, it is imperative that we engage a random function, guided only by the number of data points for each class.
This script can be used before or after karoo_normalise.py but assumes no header has yet been applied to the .csv.
This script can be used *before* karoo_normalise.py, and assumes no header has yet been applied to the .csv.
'''
### USER INTERACTION ###

2
tools/karoo_normalise.py
View File

@ -12,7 +12,7 @@ This script works with a raw dataset to prepare a new, normalised dataset. It do
given column, finding the maximum and minimum values, and then modifying each value to fall between a high of 1 and
low of 0. The modified values are written to a new file, the original remaining untouched.
This script can be used before or after karoo_features_sort.py but assumes no header has yet been applied to the .csv.
This script can be used *after* karoo_features_sort.py, and assumes no header has yet been applied to the .csv.
'''
def normalise(array):