def __init__(self, trained_regressor, value_list_to_item, config, verbose=True):
self._trained_regressor = trained_regressor
self._value_list_to_item = value_list_to_item
self._config = config
self._verbose = verbose
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self,
regressor,
train_args_obtainer,
item_to_feature_list,
saver,
verbose=True):
self._regressor = regressor
self._train_args_obtainer = train_args_obtainer
self._saver = saver
self._item_to_feature_list = item_to_feature_list
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self,
folder_path,
file_path,
file_extension="",
save_method=shelve_save,
verbose=True):
self._folder_path = folder_path
self._file_path = file_path
self._save_method = save_method
self._file_extension = file_extension
self._full_path = os.path.join(self._folder_path,
self._file_path + self._file_extension)
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self, creator, product_saver, num_of_products, verbose=True):
self._creator = creator
self._product_saver = product_saver
self._num_of_products = num_of_products
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self, save_path, load_method=shelve_load, verbose=True):
self._save_path = save_path
self._load_method = load_method
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self, path_to_item, folder, verbose=True):
self._path_to_item = path_to_item
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
self._folder = folder
def __init__(self, executers, verbose=True):
self._executers = executers
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self, value_list_to_item, verbose=True):
self._value_list_to_item = value_list_to_item
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self, obtainer, edit_method=unit_method, verbose=True):
self._obtainer = obtainer
self._edit_method = edit_method
self._verbose = verbose
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
def __init__(self, regressor, item_to_feature_list, verbose=True):
self._regressor = regressor
self._item_to_feature_list = item_to_feature_list
self._logger = Logger(who=self.__class__.__name__, verbose=verbose)
from intelligent_creation.utilization.general_utilities.loggers.logger import Logger
global_logger = Logger(verbose=True)
def apply_carefully(items, func, verbose=True):
products = []
for item in items:
try:
products.append(func(item))
except Exception as e:
global_logger.log("Could not apply {} on {} with error {}".format(
func, item, e))
return products
DEFAULT_PREVIEW_LENGTH = 1000
def str_preview(str, max_len=DEFAULT_PREVIEW_LENGTH):
if len(str) > max_len:
char_len = (max_len - 5) / 2
return "{} ... {}".format(str[0:char_len],
str[len(str) - char_len:len(str)])
else:
return str