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configs.py
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configs.py
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import json
class LDAConfig:
def __init__(self,
name="",
dataset_dir="",
cached_dir="",
no_below="",
no_above="",
tokenizer="",
alpha="auto",
eta="auto",
num_topics="",
chunksize="",
passes="",
iterations="",
eval_every=""
):
self.name = name
self.dataset_dir = dataset_dir
self.cached_dir = cached_dir
self.no_below = no_below
self.no_above = no_above
self.tokenizer = tokenizer
self.alpha = alpha
self.eta = eta
self.num_topics = num_topics
self.chunksize = chunksize
self.passes = passes
self.iterations = iterations
self.eval_every = eval_every
@classmethod
def from_dict(cls, json_object):
config = LDAConfig()
for key in json_object:
config.__dict__[key] = json_object[key]
return config
@classmethod
def from_json_file(cls, json_file):
with open(json_file) as f:
config_json = f.read()
return cls.from_dict(json.loads(config_json))
def __str__(self):
return str(self.__dict__)
class LDAWikiConfig:
def __init__(self,
dataset_dir="",
cached_dir="",
topics_file="",
topic_top_words_file="",
no_below="",
no_above="",
tokenizer="",
alpha="auto",
eta="auto",
num_topics="",
chunksize="",
passes="",
iterations="",
eval_every=""
):
self.dataset_dir = dataset_dir
self.cached_dir = cached_dir
self.topics_file = topics_file
self.topic_top_words_file = topic_top_words_file
self.no_below = no_below
self.no_above = no_above
self.tokenizer = tokenizer
self.alpha = alpha
self.eta = eta
self.num_topics = num_topics
self.chunksize = chunksize
self.passes = passes
self.iterations = iterations
self.eval_every = eval_every
@classmethod
def from_dict(cls, json_object):
config = LDAWikiConfig()
for key in json_object:
config.__dict__[key] = json_object[key]
return config
@classmethod
def from_json_file(cls, json_file):
with open(json_file) as f:
config_json = f.read()
return cls.from_dict(json.loads(config_json))
def __str__(self):
return str(self.__dict__)
class LSIWikiConfig:
def __init__(self,
dataset_dir="",
cached_dir="",
topics_file="",
topic_top_words_file="",
tokenizer="",
num_topics="",
chunksize="",
passes="",
iterations="",
eval_every=""
):
self.dataset_dir = dataset_dir
self.cached_dir = cached_dir
self.topics_file = topics_file
self.topic_top_words_file = topic_top_words_file
self.tokenizer = tokenizer
self.num_topics = num_topics
self.chunksize = chunksize
self.passes = passes
self.iterations = iterations
self.eval_every = eval_every
@classmethod
def from_dict(cls, json_object):
config = LSIWikiConfig()
for key in json_object:
config.__dict__[key] = json_object[key]
return config
@classmethod
def from_json_file(cls, json_file):
with open(json_file) as f:
config_json = f.read()
return cls.from_dict(json.loads(config_json))
def __str__(self):
return str(self.__dict__)
class LSIConfig:
def __init__(self,
name="",
dataset_dir="",
cached_dir="",
no_below="",
no_above="",
tokenizer="",
num_topics="",
chunksize="",
passes="",
iterations="",
eval_every=""
):
self.name = name
self.dataset_dir = dataset_dir
self.cached_dir = cached_dir
self.no_below = no_below
self.no_above = no_above
self.tokenizer = tokenizer
self.num_topics = num_topics
self.chunksize = chunksize
self.passes = passes
self.iterations = iterations
self.eval_every = eval_every
@classmethod
def from_dict(cls, json_object):
config = LSIConfig()
for key in json_object:
config.__dict__[key] = json_object[key]
return config
@classmethod
def from_json_file(cls, json_file):
with open(json_file) as f:
config_json = f.read()
return cls.from_dict(json.loads(config_json))
def __str__(self):
return str(self.__dict__)
class GenerationConfig:
def __init__(self, model_type="",
model_name_or_path="",
cached_dir="",
padding_text="",
max_length="",
temperature="",
repetition_penalty="",
top_k="",
top_p="",
fusion_method="",
logit_threshold="",
gamma="",
no_cuda="",
seed="",
stop_token="",
num_beams="",
do_sample=""):
self.model_type = model_type
self.model_name_or_path = model_name_or_path
self.cached_dir = cached_dir
self.padding_text = padding_text
self.max_length = max_length
self.temperature = temperature
self.repetition_penalty = repetition_penalty
self.top_k = top_k
self.top_p = top_p
self.fusion_method = fusion_method
self.logit_threshold = logit_threshold
self.gamma = gamma
self.no_cuda = no_cuda
self.seed = seed
self.stop_token = stop_token
self.num_beams = num_beams
self.do_sample = do_sample
@classmethod
def from_dict(cls, json_object):
config = GenerationConfig()
for key in json_object:
config.__dict__[key] = json_object[key]
return config
@classmethod
def from_json_file(cls, json_file):
with open(json_file) as f:
config_json = f.read()
return cls.from_dict(json.loads(config_json))
def __str__(self):
return str(self.__dict__)
class DatabaseConfig:
def __init__(self, database_name="",
collection_name="",
dataset_dir=""):
self.database_name = database_name
self.collection_name = collection_name
self.dataset_dir = dataset_dir
@classmethod
def from_dict(cls, json_object):
config = DatabaseConfig()
for key in json_object:
config.__dict__[key] = json_object[key]
return config
@classmethod
def from_json_file(cls, json_file):
with open(json_file) as f:
config_json = f.read()
return cls.from_dict(json.loads(config_json))
class PlotConfig:
def __init__(self,
dimension="",
threshold="",
node_size="",
color_scale="",
title="",
out_file_name=""
):
self.dimension = dimension
self.threshold = threshold
self.node_size = node_size
self.color_scale = color_scale
self.title = title
self.out_file_name = out_file_name
@classmethod
def from_dict(cls, json_object):
config = PlotConfig()
for key in json_object:
config.__dict__[key] = json_object[key]
return config
@classmethod
def from_json_file(cls, json_file):
with open(json_file) as f:
config_json = f.read()
return cls.from_dict(json.loads(config_json))