I have a python file that consists of one functions, machineLearning(issue).
In my PHP code, to run the python script, I have the following:
'category' => exec("python C:/xampp/htdocs/ci/assets/machineLearning.py $temp 2>&1"),
which runs the machineLearning function as expected. However, I need to include another function called updateTrain, which takes the parameters issue, category. Here is the current python file:
from textblob import TextBlob;
from textblob.classifiers import NaiveBayesClassifier;
import sys;
train = [
('I cannot enter or exit the building','idCard'),
('Enter or exit', 'idCard'),
('Card needs replacing','idCard'),
('ID card not working','idCard'),
('Printing', 'printer'),
("My ID Card doesn't sign me into the printers", "printer"),
('Mono', "printer"),
('Colour Printing',"printer"),
('I cannot connect my phone to the wifi', 'byod'),
('I do not get emails on my phone, tablet, or laptop', 'byod'),
('Cannot send emails','email'),
('Do not recieve emails','email'),
('Cannot sign in to moodle', 'email'),
('Cannot sign in to computer','desktop_pc'),
("Software isn't working",'desktop_pc'),
('Scratch disks are full', 'desktop_pc'),
('I have forgotten my password for the computers', 'desktop_pc'),
('forgotten password','forgotten_password'),
('My password does not work','forgotten_password'),
('Applications fail to launch and I get an error', 'desktop_pc'),
('My ID card does not allow me to print. I go to scan my card on the printer, and it comes up with a message saying that I need to associate my card every day I want to print. Other peoples cards work fine?','idCard'),
("I am having trouble connecting my android phone to my emails. I open the gmail app and select exchange account. I then enter my email and password and click okay on the message that asks if its alright to use the autoconfigure.xml. It then gives me all the server details, I click okay and then it tells me that I cannot connect to the server.", 'byod'),
('I cannot find my work', 'lost_work'),
('My work has been corrupted', 'lost_work'),
('My work has been lost', 'lost_work'),
('Coursework gone missing', 'lost_work'),
('my id card isnt working','idCard'),
('I cannot print in colour', 'printer')
]
cl = NaiveBayesClassifier(train);
def updateTrain(issue, category):
new_data = [(issue,category)];
cl.update(new_data);
def machineLearning(issue):
test = [
("My id card does not allow me to go through the gates, the light flashes orange and then goes red. The gate doesn't open", "idCard"),
('My id card has snapped', 'idCard'),
('When printing, swiping my ID card does not automatically sign me in, I have to manually register my card', 'printer'),
('I am getting errors when trying to sign into my email account on the website', 'email'),
('Microsoft applications were not working','desktop_pc'),
('Software is missing','desktop_pc'),
('software keeps crashing','desktop_pc'),
('my phone refuses to connect to the internet','byod'),
('I cannot sign in to the computers, moodle or emails because I have forgotten my password','desktop_pc'),
('I cannot get my emails on my device I bought from home','byod'),
('My ID card does not allow me to print. I go to scan my card on the printer, and it comes up with a message saying that I need to associate my card every day I want to print. Other peoples cards work fine?','idCard'),
('My password does not allow me to sign in to the computers, laptops, moodle or emails','forgotten_password'),
('I have forgotten my password','forgotten_poassword'),
('My work has been corrupted', 'lost_work'),
('My work has been lost', 'lost_work'),
('Coursework gone missing', 'lost_work'),
('I cannot print in colour', 'printer'),
];
print(cl.classify(issue));
if __name__ == "__main__":
machineLearning(sys.argv[1]);
As updateTrain(issue, category) takes 2 arguments, how can I change the above exec command so that it ignores the update train?
Similarly, how can I call updateTrain, ignoring the machineLearning function?