def create_new_adaboost_classifiers(po, algs):
"""
:param algs: The algorithms which will be the classifiers of one of the adaboosts
:param po: The object which holds the tweets organized and parsed
:return: Returns a list containing the two adaboost that are created in this function
"""
adas = [
ClassifiersWrapper(
Adaboost.Adaboost(algs), Converters.TweetToTweet(),
"Adaboost with all the algorithms from before as classifiers")
]
ic_list = []
for i in range(900):
ic = ClassifiersWrapper(
IndexClassifier.IndexClassifier(my_index=i),
Converters.TweetToTweet())
ic.train(po.get_tweets_before_for_others(),
po.get_tweets_after_for_others())
ic_list.append(ic)
adas.append(
ClassifiersWrapper(
Adaboost.Adaboost(ic_list),
Converters.TweetToBowWithPca(new_dim=900),
"Adaboost with every index as a classfier (after PCA to 900)"))
return adas
