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AutoBot.py
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AutoBot.py
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import time
from AdaBoost_Model import AdaBoostModel, AdaBoostModelV2
from LogisticRegression_Model import LogisticRegressionModel, LogisticRegressionModelV2
from NeuralNetwork_Model import NeuralNetworkModel, NeuralNetworkModelV2
from RandomForest_Model import RandomForestModel, RandomForestModelV2
from SVM_Model import SVMModel, SVMModelV2
from Utility import getData, getAnnealingData
from XgBoost_Model import XGBClassifierModel, XGBClassifierModelV2
def TrainAllModels(splitData):
for i in range(100):
print("Current i: ", i)
if splitData:
X_train, X_test, y_train, y_test = getData(useImbalancer=True, useStratify=True)
else:
X_train, y_train = getData(splitData=splitData, useImbalancer=False, useStratify=True)
X_test, y_test = None, None
AdaBoostModel(splitData=splitData, X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
LogisticRegressionModel(splitData=splitData, X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
NeuralNetworkModel(splitData=splitData, X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
RandomForestModel(splitData=splitData, X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
SVMModel(splitData=splitData, X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
XGBClassifierModel(splitData=splitData, X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
def TrainAllModelsV2():
for i in range(10):
print("Current i: ", i)
X_train, X_test, y_train, y_test = getAnnealingData()
AdaBoostModelV2(X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
LogisticRegressionModelV2(X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
NeuralNetworkModelV2(X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
RandomForestModelV2(X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
SVMModelV2(X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
XGBClassifierModelV2(X_train=X_train, X_test=X_test, y_train=y_train, y_test=y_test)
# splitData = True
# startTime = time.time()
# TrainAllModels(splitData=splitData)
# print("TimeTaken: ", time.time() - startTime)
# splitData = False
# startTime = time.time()
# print("************************************************************************************************")
# TrainAllModels(splitData=splitData)
# print("TimeTaken: ", time.time() - startTime)
# For V2
startTime = time.time()
TrainAllModelsV2()
print("TimeTaken: ", time.time() - startTime)