def runAll(path, predictMethodList, predictMethod):
users = orig.loadAndUpdateFeatures(path)
featureList = orig.featureList()
featureList.addByRegex(["action_", "num_of_devices", "total_time"], users)
category = 'country_destination'
X_byteDF, y = orig.getXbyte(users, featureList.get(), category)
return runClf2net(predictMethodList, predictMethod, X_byteDF, y)
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 6 15:51:35 2017
@author: Alon
"""
import nnDNA as dna
import geneticLib.Evolution as Evo
import basicLib.loadAndTest as orig
users = orig.loadAndUpdateFeatures(
'../input/users_2014_actions_combined_device.csv')
args = {'users': users}
dnaArg = {'dna': dna, 'args': args}
Ev = Evo.Evolution(dnaArg,
usePrints=True,
populationSize=6,
numOfEvolutionSteps=10,
mutationFactor=0.1)
Ev.run()
def fitness(self):
users = orig.loadAndUpdateFeatures('../input/users_2014_actions_combined_device.csv')
self.prediction, self.fit = orig.fitPredictAndTest(users,self.featureList,self.category,self.predictMethod,random_state=1)
return self.fit
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 6 15:51:35 2017
@author: Alon
"""
import nnDNA as dna
import geneticLib.Evolution as Evo
import basicLib.loadAndTest as orig
users = orig.loadAndUpdateFeatures('../input/users_2014_sessions_norm.csv')
args = {'users' : users}
dnaArg = {'dna' : dna, 'args' : args}
Ev = Evo.Evolution(dnaArg, usePrints=True, populationSize=6, numOfEvolutionSteps=10,mutationFactor=0.1)
Ev.run()
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 6 15:51:35 2017
@author: Alon
"""
import nnDNA as dna
import geneticLib.Evolution as Evo
import basicLib.loadAndTest as orig
import pandas as pd
users, yRes = orig.loadAndUpdateFeatures('../input/train_users.csv')
users = pd.concat([users, yRes], axis=1)
args = {'users': users}
dnaArg = {'dna': dna, 'args': args}
Ev = Evo.Evolution(dnaArg,
usePrints=True,
populationSize=20,
numOfEvolutionSteps=60,
mutationFactor=0.1,
bestMovesOn=2)
Ev.run()
