def __init__(self, force_build=False):
self.viz = None
self.html = None
self.K = None
pd = PickleDef(self)
self.pickle_kwargs = pd()
super().__init__(force_build, **self.pickle_kwargs)
def __init__(self, force_build = False):
pd = PickleDef(self)
self.pickle_kwargs = pd()
self.dictionary = None
self.corpus_ = None
self.make_bow_args = {'no_below':20, 'no_above':0.5}
super(BOWFeature, self).__init__(force_build, **self.pickle_kwargs)
def __init__(self, force_build=False):
self.pipeline_steps = None
self.corpus_ = None
self.phrases = None
pd = PickleDef(self)
self.pickle_kwargs = pd()
super(Preprocessor, self).__init__(force_build, **self.pickle_kwargs)
def __init__(self, force_build=False):
self.corpus_ = None
self.tfid_args = {
}
self.dictionary = None
pd = PickleDef(self)
self.pickle_kwargs = pd()
super(TFIDFeature, self).__init__(force_build, **self.pickle_kwargs)
def __init__(self, force_build=False):
self.model = None
self.lda_args = {
'chunksize': 2000,
'alpha' : 'auto',
'eta': 'auto',
'iterations' : 50,
'num_topics' : 10,
'passes' : 20,
'eval_every' : None,
# 'workers' : 3,
}
pd = PickleDef(self)
super(LDAModel, self).__init__(force_build, **pd())
def __init__(self, file=None):
# defines allowed extensions
self.allowed_extensions = ['txt', 'csv']
self.data_dir = DATA_DIR
self.read_dfs = {}
pd = PickleDef(self)
self.pickle_kwargs = pd()
super(Read, self).__init__(**self.pickle_kwargs)
# logic to read in new files
if file:
if type(file) == list:
for f in file:
if f in self.read_dfs:
print(f'{f} already has been read \n skipping {f}')
pass
else:
self.__readFilesDataFrames(file)
else:
if file in self.read_dfs:
print(f'{file} already has been read \n using loaded object')
else:
self.__readFilesDataFrames(file)
def __init__(self):
self.corpus_ = None
self.dictionary = None
pd = PickleDef(self)
self.pickle_kwargs = pd()
super().__init__(**self.pickle_kwargs)
def __init__(self):
self.model = None
pd = PickleDef(self)
self.pickle_kwargs = pd()
super().__init__(**self.pickle_kwargs)
def __init__(self, force_build=False):
self.model = None
self.gsdmm_args = {'K': 10, 'alpha': 0.1, 'beta': 0.1, 'n_iters': 30}
pd = PickleDef(self)
super(GSDMM, self).__init__(force_build, **pd())
def __init__(self):
self.phrase_model = None
pd = PickleDef(self)
self.pickle_kwargs = pd()
super(PhraseModel, self).__init__(**self.pickle_kwargs)
def __init__(self, force_build=False):
self.corpus_ = None
self.dictionary = None
pd = PickleDef(self)
self.pickle_kwargs = pd()
super().__init__(force_build, **self.pickle_kwargs)
def __init__(self):
self.df_train = None
self.models = None
pd = PickleDef(self)
super().__init__(**pd())
def __init__(self, force_build=False):
LDAModel.__init__(self)
pd = PickleDef(self)
Picklable.__init__(self, force_build, **pd())
def __init__(self):
pd = PickleDef(self)
self.pickle_kwargs = pd()
super(Ngramer, self).__init__(**self.pickle_kwargs)