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CNN_format_conversion.py
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CNN_format_conversion.py
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# -*- coding: utf-8 -*-
#Created by Parth Patel, DBI @ University of Delaware, Newark, Delaware 19717
#Date created: 6/07/2018
##This script converts train,test,validation set compatible with the (CNN) model.
#usage: python CNN_format_conversion.py
import numpy
import pandas
#####################################################
# Convert validation set
dataframe = pandas.read_csv("Valid.csv", header=None)
dataset = dataframe.values
X = dataset[:,0:1364].astype(float)
Y = dataset[:,1364]
numpy.save('X_valid.np',X)
numpy.save('Y_valid.np',Y)
#####################################################
# Convert Training set
dataframe = pandas.read_csv("Train.csv", header=None)
dataset = dataframe.values
X = dataset[:,0:1364].astype(float)
Y = dataset[:,1364]
numpy.save('X_train.np',X)
numpy.save('Y_train.np',Y)
####################################################
# Convert Test set
dataframe = pandas.read_csv("Test.csv", header=None)
dataset = dataframe.values
X = dataset[:,0:1364].astype(float)
Y = dataset[:,1364]
numpy.save('X_test.np',X)
numpy.save('Y_test.np',Y)