def main():
feature_opt.prep("training")
# feature_opt.calculate_vocab("vocabularies/slang", "vocabularies/slang-optimized", "training")
feature_opt.stats("vocabularies/slang-optimized-vocabulary", "classifications/slang-training", "probabilities/slang-training", "training")
feature_opt.prep("test")
feature_opt.stats("vocabularies/slang-optimized-vocabulary", "classifications/slang-test", "probabilities/slang-test", "test")
def main():
feature_opt.prep("training")
# feature_opt.calculate_vocab("vocabularies/slang", "vocabularies/slang-optimized", "training")
feature_opt.stats("vocabularies/slang-optimized-vocabulary",
"classifications/slang-training",
"probabilities/slang-training", "training")
feature_opt.prep("test")
feature_opt.stats("vocabularies/slang-optimized-vocabulary",
"classifications/slang-test", "probabilities/slang-test",
"test")
def main():
# prep data
feature_opt.prep("training")
# optimize vocabulary
# feature_opt.calculate_vocab("vocabularies/exaggeration", "vocabularies/exaggeration-optimized", "training")
# record optimal linear separator
feature_opt.stats("vocabularies/exaggeration-optimized", "classifications/exaggeration-training", "probabilities/exaggeration-training", "training")
# NOW EVALUATE TEST DATA
# prep data
feature_opt.prep("test")
# finally produce classifications!
feature_opt.stats("vocabularies/exaggeration-optimized", "classifications/exaggeration-test", "probabilities/exaggeration-test", "test")
def main():
# prep data
feature_opt.prep("training")
# optimize vocabulary
# feature_opt.calculate_vocab("vocabularies/exaggeration", "vocabularies/exaggeration-optimized", "training")
# record optimal linear separator
feature_opt.stats("vocabularies/exaggeration-optimized",
"classifications/exaggeration-training",
"probabilities/exaggeration-training", "training")
# NOW EVALUATE TEST DATA
# prep data
feature_opt.prep("test")
# finally produce classifications!
feature_opt.stats("vocabularies/exaggeration-optimized",
"classifications/exaggeration-test",
"probabilities/exaggeration-test", "test")