Carlos-Francisco Méndez-Cruz / lcg-bioinfoI-bionlp

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Carlos-Francisco Méndez-Cruz
c9bf2722 1 parent 05991559

Iris dataset for automatic clasification

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...@@ -40,6 +40,7 @@ __author__ = 'CMendezC' ...@@ -40,6 +40,7 @@ __author__ = 'CMendezC'
40 # --classifier MLPClassifier 40 # --classifier MLPClassifier
41 41
42 # python trainingEvaluation_Iris_v1.py --inputPath /home/cmendezc/borrame/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/borrame/lcg-bioinfoI-bionlp/clasificacion-automatica/iris-dataset/reports --outputFile report-Iris-MLPClassifier.txt --classifier MLPClassifier 42 # python trainingEvaluation_Iris_v1.py --inputPath /home/cmendezc/borrame/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/borrame/lcg-bioinfoI-bionlp/clasificacion-automatica/iris-dataset/reports --outputFile report-Iris-MLPClassifier.txt --classifier MLPClassifier
43 +# 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-MLPClassifier.txt --classifier MLPClassifier
43 44
44 ########################################################### 45 ###########################################################
45 # MAIN PROGRAM # 46 # MAIN PROGRAM #
...@@ -134,7 +135,7 @@ if __name__ == "__main__": ...@@ -134,7 +135,7 @@ if __name__ == "__main__":
134 elif options.classifier == "DecisionTree": 135 elif options.classifier == "DecisionTree":
135 classifier = DecisionTreeClassifier() 136 classifier = DecisionTreeClassifier()
136 elif options.classifier == "MLPClassifier": 137 elif options.classifier == "MLPClassifier":
137 - classifier = MLPClassifier(solver='lbfgs', hidden_layer_sizes=(3)) 138 + classifier = MLPClassifier(solver='lbfgs')
138 139
139 140
140 print(" Training...") 141 print(" Training...")
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