Python get_classifier_technique_config示例

示例#1

文件： combinations.py 项目： 10001Monkeys/data-553-grpprj

def get_bow_cfg():
    toreturn = {}
    cfg = combinator.get_classifier_technique_config(bow=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    return toreturn

示例#2

文件： combinations.py 项目： jasmine2chen/Natural-Language-Processing-App-Review-Classifier

def get_bow_rating_sentiment1_cfg(key_prefix):
    toreturn = {}
    cfg = combinator.get_classifier_technique_config(bow=True, rating=True, sentiment1=True)
    key = key_prefix + "__" + combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    return toreturn

示例#3

文件： combinations.py 项目： jasmine2chen/Natural-Language-Processing-App-Review-Classifier

def get_bow_rating_tense_sentiment1_cfg():
    toreturn = {}
    cfg = combinator.get_classifier_technique_config(bow=True, rating=True, tense=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    return toreturn

示例#4

文件： combinations.py 项目： 10001Monkeys/data-553-grpprj

def get_combined_cfgs_journal_version():

    toreturn = {}
    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     lemmatize=True,
                                                     rating=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     rating=True,
                                                     sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     rating=True,
                                                     tense=True,
                                                     sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bigram=True,
                                                     rating=True,
                                                     sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bigram=True,
                                                     remove_stopwords=True,
                                                     lemmatize=True,
                                                     rating=True,
                                                     tense=True,
                                                     sentiment2=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     bigram=True,
                                                     tense=True,
                                                     sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     lemmatize=True,
                                                     bigram=True,
                                                     rating=True,
                                                     tense=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     remove_stopwords=True,
                                                     bigram=True,
                                                     rating=True,
                                                     tense=True,
                                                     sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     remove_stopwords=True,
                                                     lemmatize=True,
                                                     rating=True,
                                                     tense=True,
                                                     sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     remove_stopwords=True,
                                                     lemmatize=True,
                                                     rating=True,
                                                     tense=True,
                                                     sentiment2=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg
    ## add bow
    cfg = combinator.get_classifier_technique_config(bow=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg
    ## add bigram
    cfg = combinator.get_classifier_technique_config(bigram=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg
    ## add bow+bigram
    cfg = combinator.get_classifier_technique_config(bow=True, bigram=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg
    ## add bow+lemmatize
    cfg = combinator.get_classifier_technique_config(bow=True, lemmatize=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg
    ## add bow-stopwords
    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     remove_stopwords=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg
    ## add bow-stopwords+lemmatize
    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     remove_stopwords=True,
                                                     lemmatize=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg
    ## add bow+bigram-stopwords+lemmatize
    cfg = combinator.get_classifier_technique_config(bow=True,
                                                     bigram=True,
                                                     remove_stopwords=True,
                                                     lemmatize=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    return toreturn

示例#5

文件： combinations.py 项目： jasmine2chen/Natural-Language-Processing-App-Review-Classifier

def get_combined_cfgs_journal_version():

    toreturn = {}

    #Document classification (&NLP)
    cfg = combinator.get_classifier_technique_config(bow=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bigram=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, bigram=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, lemmatize=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, remove_stopwords=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, lemmatize=True, remove_stopwords=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, bigram=True, remove_stopwords=True, lemmatize=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    #Metadata
    cfg = combinator.get_classifier_technique_config(rating=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(rating=True, length=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(rating=True, length=True, tense=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(rating=True, length=True, tense=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(rating=True, length=True, tense=True, sentiment2=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    #Combined
    cfg = combinator.get_classifier_technique_config(bow=True, lemmatize=True, rating=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, rating=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, rating=True, tense=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bigram=True, rating=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bigram=True, remove_stopwords=True, lemmatize=True, rating=True, tense=True, sentiment2=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, bigram=True, tense=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, lemmatize=True, bigram=True, rating=True, tense=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, remove_stopwords=True, bigram=True, rating=True, tense=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, remove_stopwords=True, lemmatize=True, rating=True, tense=True, sentiment1=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    cfg = combinator.get_classifier_technique_config(bow=True, remove_stopwords=True, lemmatize=True, rating=True, tense=True, sentiment2=True)
    key = combinator.get_key_for_classifier_config(cfg)
    toreturn[key] = cfg

    return toreturn