from cross_validation import CrossValidation
from preprocessor import Preprocessor
from dataSet import DataSet
from knn_classifier import KnnClassifier
from rna_classifier import RnaClassifier
from hybrid_classifier import HybridClassifier
from rna_module import RnaModule
from knn_module import KnnModule
from evaluate_module import EvaluateModule
dts = DataSet()
dts.setFilePath("bases/sub_bases/")
#CONFIGURACAO DA REDE NEURAL
rna = RnaModule()
rna.setNumberNeuronsImputLayer(30)
rna.setActivationFunctionImputLayer("tanh")
rna.setImputDimNeurons(30)
rna.setNumberNeuronsHiddenLayer(31)
rna.setActivationFunctionHiddenLayer("tanh")
rna.setNumberNeuronsOutputLayer(1)
rna.setActivationFunctionOutputLayer("tanh")
rna_classifier = RnaClassifier()
rna_classifier.setRna(rna)
#PREPROCESSADOR PARA ATRIBUTOS CATEGORICOS
preprocessor = Preprocessor()
preprocessor.setColumnsCategory(['protocol_type', 'service', 'flag'])
evaluate = EvaluateModule()