from markov_models import MEMMTagger from sys import argv import joblib import vlsp_reader as vlspr import pipeline.memm train_data = vlspr.read_train() pipeline_id = int(argv[1]) if len(argv) > 1 else 0 memmt = MEMMTagger() if pipeline_id == 1: memmt = pipeline.memm.PipelineTagger_01() if pipeline_id == 2: memmt = pipeline.memm.PipelineTagger_02() if pipeline_id == 3: memmt = pipeline.memm.PipelineTagger_03() if pipeline_id == 4: memmt = pipeline.memm.PipelineTagger_04() if pipeline_id == 5: memmt = pipeline.memm.PipelineTagger_05() if pipeline_id == 6: memmt = pipeline.memm.PipelineTagger_06() if pipeline_id == 7: memmt = pipeline.memm.PipelineTagger_07() if pipeline_id == 8: memmt = pipeline.memm.PipelineTagger_08() if pipeline_id == 9: memmt = pipeline.memm.PipelineTagger_09() if pipeline_id == 10:
def __init__(self):
MEMMTagger.__init__(self, learning_rate=__learning_rate__)