def create_new_other_classifiers():
"""
Creates an object for a classifier with the class it uses to convert the raw data to a vector
:return: Returns a list of wrappers which wraps the conversion object and the algorithm object
"""
return [
ClassifiersWrapper(MLPClassifier(hidden_layer_sizes=(500, 500)),
Converters.TweetToBow(), "MLP with BOW"),
ClassifiersWrapper(NearestCentroid(), Converters.TweetToBow(),
"NearestCentroid with BOW"),
ClassifiersWrapper(linear_model.LogisticRegression(),
Converters.TweetToBow(), "Log Reg with BOW"),
ClassifiersWrapper(svm.LinearSVC(), Converters.TweetToBow(),
"SVM with BOW"),
ClassifiersWrapper(MLPClassifier(hidden_layer_sizes=(500, 500)),
Converters.TweetToLetvec(), "MLP with LetVec"),
ClassifiersWrapper(NearestCentroid(), Converters.TweetToLetvec(),
"NearestCentroid with LetVec"),
ClassifiersWrapper(linear_model.LogisticRegression(),
Converters.TweetToLetvec(),
"Log Reg with LetVec"),
ClassifiersWrapper(svm.LinearSVC(), Converters.TweetToLetvec(),
"SVM with LetVec")
]
