Carlos-Francisco Méndez-Cruz

Iris dataset for automatic clasification

......@@ -38,7 +38,7 @@ __author__ = 'CMendezC'
# --outputFile report-Iris-MultinomialNB.txt
# --classifier MultinomialNB
# python trainingEvaluation_Iris_v1.py --inputPath /home/cmendezc/gitlab_repositories/lcg-bioinfoI-bionlp/clasificacion-automatica/iris-dataset --inputTrainingData training_Data.txt --inputTrainingClasses training_TrueClasses.txt --inputEvaluationData test_Data.txt --inputEvaluationClasses test_TrueClasses.txt --outputPath /home/cmendezc/gitlab_repositories/lcg-bioinfoI-bionlp/clasificacion-automatica/iris-dataset/reports --outputFile report-Iris-MultinomialNB.txt --classifier MultinomialNB
# python3 trainingEvaluation_Iris_v1.py --inputPath /home/cmendezc/gitlab_repositories/lcg-bioinfoI-bionlp/clasificacion-automatica/iris-dataset --inputTrainingData training_Data.txt --inputTrainingClasses training_TrueClasses.txt --inputEvaluationData test_Data.txt --inputEvaluationClasses test_TrueClasses.txt --outputPath /home/cmendezc/gitlab_repositories/lcg-bioinfoI-bionlp/clasificacion-automatica/iris-dataset/reports --outputFile report-Iris-MultinomialNB.txt --classifier MultinomialNB
###########################################################
# MAIN PROGRAM #
......@@ -123,7 +123,7 @@ if __name__ == "__main__":
for elem in listTemp:
listFloat.append(float(elem))
dataEvaluation.append(listFloat)
print(dataEvaluation)
# print(dataEvaluation)
print(" Reading data and true classes done!")
if options.classifier == "MultinomialNB":
......