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thesis-anne
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added main method

This commit is contained in:
Anne Lorenz 2018-09-20 10:37:18 +02:00
parent 68ba9e83cb
commit 6a8386e897
5 changed files with 45 additions and 36 deletions
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21
DecisionTree.py
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@ -105,18 +105,19 @@ class DecisionTree:
# sum(f1_scores_train)/float(len(f1_scores_train)))) # sum(f1_scores_train)/float(len(f1_scores_train))))
# print() # print()
################################# if __name__ == '__main__':
print('# starting decision tree')
print('# ...')
file = 'classification_labelled_corrected.csv' print('# starting decision tree')
print('# ...')
# read csv file file = 'classification_labelled_corrected.csv'
print('# reading dataset')
print('# ...')
dataset = CsvHandler.read_csv(file) # read csv file
print('# reading dataset')
print('# ...')
make_tree(dataset) dataset = CsvHandler.read_csv(file)
print('# ending decision tree') make_tree(dataset)
print('# ending decision tree')

23
NaiveBayes.py
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@ -159,19 +159,20 @@ class NaiveBayes:
#print metrics #print metrics
print('F1 score: ', format(f1_score(y_train_test, predictions))) print('F1 score: ', format(f1_score(y_train_test, predictions)))
################################# if __name__ == '__main__':
print('# starting naive bayes')
print('# ...')
file = 'classification_labelled_corrected.csv' print('# starting naive bayes')
print('# ...')
# read csv file file = 'classification_labelled_corrected.csv'
print('# reading dataset')
print('# ...')
dataset = CsvHandler.read_csv(file) # read csv file
print('# reading dataset')
print('# ...')
make_naive_bayes(dataset) dataset = CsvHandler.read_csv(file)
print('#') make_naive_bayes(dataset)
print('# ending naive bayes')
print('#')
print('# ending naive bayes')

6
README.md
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@ -16,6 +16,10 @@ graphviz==0.9
scikit_learn==0.19.2 scikit_learn==0.19.2
## Installation under (UBUNTU?) ## Installation under Windows
pip install XY
## Installation under UBUNTU
apt-get install XX apt-get install XX

10
Requester.py
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@ -93,8 +93,10 @@ class Requester:
columns=['Timestamp', 'Title', 'Text', 'SiteSection']) columns=['Timestamp', 'Title', 'Text', 'SiteSection'])
# save csv # save csv
CsvHandler.write_csv(df, filestring) CsvHandler.write_csv(df, filestring)
if __name__ == '__main__':
print('# starting requester') print('# starting requester')
print('# ...') print('# ...')
save_articles_from_webhoseio() save_articles_from_webhoseio()
print('# ending requester') print('# ending requester')

21
SVM.py
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@ -84,18 +84,19 @@ class SVM:
print(grid.best_params_) print(grid.best_params_)
print() print()
######################## if __name__ == '__main__':
print('# starting svm')
print('# ...')
file = 'classification_labelled_corrected.csv' print('# starting svm')
print('# ...')
# read csv file file = 'classification_labelled_corrected.csv'
print('# reading dataset')
print('# ...')
dataset = CsvHandler.read_csv(file) # read csv file
print('# reading dataset')
print('# ...')
make_svm(dataset) dataset = CsvHandler.read_csv(file)
print('# ending svm') make_svm(dataset)
print('# ending svm')