def __init__(self, fname):
ConfigurationBase.__init__(self, fname)
self.keywords_files = self.__getstring__("DEFAULT", "keyword_files").split(",")
self.num_clusters = self.__getint__("DEFAULT", "num_clusters")
self.model_file = self.__getstring__("DEFAULT", "word2vec_model_file")
self.synonyms_file = self.__getstring__("DEFAULT", "synonyms_file")
def __init__(self, fname):
ConfigurationBase.__init__(self, fname)
self.keywords_files = self.__getstring__("DEFAULT",
"keyword_files").split(",")
self.num_clusters = self.__getint__("DEFAULT", "num_clusters")
self.model_file = self.__getstring__("DEFAULT", "word2vec_model_file")
self.synonyms_file = self.__getstring__("DEFAULT", "synonyms_file")
def __init__(self, fname):
ConfigurationBase.__init__(self, fname)
self.keywords_files = self.__getstring__("DEFAULT", "keyword_files").split(",")
self.top_n = self.__getint__("DEFAULT", "top_n")
self.model_file = self.__getstring__("DEFAULT", "word2vec_model_file")
self.payload_synonyms_file = self.__getstring__("DEFAULT", "payload_synonyms_file")
self.synonyms_file = self.__getstring__("DEFAULT", "synonyms_file")
def __init__(self, config_file):
ConfigurationBase.__init__(self, config_file)
self.documents_folder = self.__getstring__("DEFAULT", "documents_folder")
self.file_mask = self.__getstring__("DEFAULT", "file_mask")
self.processed_documents_folder = self.__getfilepath__("DEFAULT", "processed_documents_folder")
self.empty_processed_documents_folder = self.__getbool__("DEFAULT", "empty_processed_documents_folder")
self.parse_html = self.__getbool__("DEFAULT", "parse_html")
self.minimum_file_size_chars = self.__getint__("DEFAULT", "minimum_file_size_chars")
def __init__(self, fname):
ConfigurationBase.__init__(self, fname)
self.keywords_files = self.__getstring__("DEFAULT",
"keyword_files").split(",")
self.top_n = self.__getint__("DEFAULT", "top_n")
self.model_file = self.__getstring__("DEFAULT", "word2vec_model_file")
self.payload_synonyms_file = self.__getstring__(
"DEFAULT", "payload_synonyms_file")
self.synonyms_file = self.__getstring__("DEFAULT", "synonyms_file")
def __init__(self, config_file):
ConfigurationBase.__init__(self, config_file)
self.processed_documents_folder = self.__getfilepath__("DEFAULT", "processed_documents_folder")
self.file_mask = self.__getstring__("DEFAULT", "file_mask")
self.min_document_frequency = self.__getint__("DEFAULT", "min_document_frequency")
self.max_phrase_length = self.__getint__("DEFAULT", "max_phrase_length")
self.max_proportion_documents = self.__getfloat__("DEFAULT", "max_proportion_documents")
self.stop_words_file = self.__getstring__("DEFAULT", "stop_words_file")
self.keywords_file = self.__getstring__("DEFAULT", "keywords_file")
def __init__(self, config_file):
ConfigurationBase.__init__(self, config_file)
self.processed_documents_folder = self.__getfilepath__(
"DEFAULT", "processed_documents_folder")
self.file_mask = self.__getstring__("DEFAULT", "file_mask")
self.min_document_frequency = self.__getint__(
"DEFAULT", "min_document_frequency")
self.max_phrase_length = self.__getint__("DEFAULT",
"max_phrase_length")
self.max_proportion_documents = self.__getfloat__(
"DEFAULT", "max_proportion_documents")
self.stop_words_file = self.__getstring__("DEFAULT", "stop_words_file")
self.keywords_file = self.__getstring__("DEFAULT", "keywords_file")
def __init__(self, fname):
ConfigurationBase.__init__(self, fname)
self.keywords_files = self.__getstring__("DEFAULT", "keyword_files").split(",")
self.processed_documents_folder = self.__getfilepath__("DEFAULT", "processed_documents_folder")
self.stop_words_file = self.__getstring__("DEFAULT", "stop_words_file")
self.file_mask = self.__getstring__("DEFAULT", "file_mask")
self.min_sentence_length_words = self.__getint__("DEFAULT", "min_sentence_length_words")
self.case_sensitive = self.__getbool__("DEFAULT", "case_sensitive")
#Word2Vec training settings
self.model_file = self.__getstring__("WORD2VEC", "word2vec_model_file")
self.window_size = self.__getint__("WORD2VEC", "window_size")
self.min_word_count = self.__getint__("WORD2VEC", "min_word_count")
self.vector_size = self.__getint__("WORD2VEC", "vector_size")
self.workers = self.__getint__("WORD2VEC", "workers")
self.training_iterations = self.__getint__("WORD2VEC", "training_iterations")
self.training_iterations = self.__getint__("WORD2VEC", "training_iterations")
def __init__(self, fname):
ConfigurationBase.__init__(self, fname)
self.keywords_files = self.__getstring__("DEFAULT",
"keyword_files").split(",")
self.processed_documents_folder = self.__getfilepath__(
"DEFAULT", "processed_documents_folder")
self.stop_words_file = self.__getstring__("DEFAULT", "stop_words_file")
self.file_mask = self.__getstring__("DEFAULT", "file_mask")
self.min_sentence_length_words = self.__getint__(
"DEFAULT", "min_sentence_length_words")
self.case_sensitive = self.__getbool__("DEFAULT", "case_sensitive")
#Word2Vec training settings
self.model_file = self.__getstring__("WORD2VEC", "word2vec_model_file")
self.window_size = self.__getint__("WORD2VEC", "window_size")
self.min_word_count = self.__getint__("WORD2VEC", "min_word_count")
self.vector_size = self.__getint__("WORD2VEC", "vector_size")
self.workers = self.__getint__("WORD2VEC", "workers")
self.training_iterations = self.__getint__("WORD2VEC",
"training_iterations")
self.training_iterations = self.__getint__("WORD2VEC",
"training_iterations")
