def __init__(self,
assets,
logger,
fifo_mode=True,
delete_workdir=True,
result_store=None,
optional_dict=None,
optional_dict2=None,
):
"""
Use optional_dict for parameters that would impact result (e.g. model,
patch size), and use optional_dict2 for parameters that would NOT
impact result (e.g. path to data cache file).
"""
TypeVersionEnabled.__init__(self)
self.assets = assets
self.logger = logger
self.fifo_mode = fifo_mode
self.delete_workdir = delete_workdir
self.results = []
self.result_store = result_store
self.optional_dict = optional_dict
self.optional_dict2 = optional_dict2
self._assert_args()
self._assert_assets()
def __init__(
self,
assets,
logger,
fifo_mode=True,
delete_workdir=True,
result_store=None,
optional_dict=None,
optional_dict2=None,
):
"""
Use optional_dict for parameters that would impact result (e.g. model,
patch size), and use optional_dict2 for parameters that would NOT
impact result (e.g. path to data cache file).
"""
TypeVersionEnabled.__init__(self)
self.assets = assets
self.logger = logger
self.fifo_mode = fifo_mode
self.delete_workdir = delete_workdir
self.results = []
self.result_store = result_store
self.optional_dict = optional_dict
self.optional_dict2 = optional_dict2
self._assert_class()
self._assert_args()
self._assert_assets()
def __init__(self, param_dict, logger=None):
"""
:param param_dict: contains input parameters
:param logger:
:return:
"""
TypeVersionEnabled.__init__(self)
self.param_dict = param_dict
self.logger = logger
self.model_dict = {}
def __init__(self, param_dict, logger=None):
"""
:param param_dict: contains input parameters
:param logger:
:return:
"""
TypeVersionEnabled.__init__(self)
self.param_dict = param_dict
self.logger = logger
self.model_dict = {}
def __init__(self, groundtruths, predictions):
"""
Performance metric on quality metrics
:param groundtruths: either list of real numbers (aggregate scores like
MOS or DMOS or MLE), or list of list of real numbers (list of raw scores)
:param predictions: list of real numbers
:return:
"""
TypeVersionEnabled.__init__(self)
self.groundtruths = groundtruths
self.predictions = predictions
self._assert_args()
def __init__(self, groundtruths, predictions):
"""
Performance metric on quality metrics
:param groundtruths: either list of real numbers (aggregate scores like
MOS or DMOS or MLE), or list of list of real numbers (list of raw scores)
:param predictions: list of real numbers
:return:
"""
TypeVersionEnabled.__init__(self)
self.groundtruths = groundtruths
self.predictions = predictions
self._assert_args()
def __init__(self, param_dict, logger=None, optional_dict2=None):
'''
Put in optional_dict2 optionals that would not impact result, e.g.
path to checkpoint file directories, or h5py file
'''
TypeVersionEnabled.__init__(self)
self.param_dict = param_dict
self.logger = logger
self.optional_dict2 = optional_dict2
self.model_dict = {}
self._assert_args()
def __init__(self, param_dict, logger=None, optional_dict2=None):
'''
Put in optional_dict2 optionals that would not impact result, e.g.
path to checkpoint file directories, or h5py file
'''
TypeVersionEnabled.__init__(self)
self.param_dict = param_dict
self.logger = logger
self.optional_dict2 = optional_dict2
self.model_dict = {}
self._assert_args()
def __init__(self,
assets,
logger,
fifo_mode=True,
delete_workdir=True,
result_store=None,
optional_dict=None,
):
TypeVersionEnabled.__init__(self)
self.assets = assets
self.logger = logger
self.fifo_mode = fifo_mode
self.delete_workdir = delete_workdir
self.results = []
self.result_store = result_store
self.optional_dict = optional_dict
self._assert_assets()
def executor_id(self):
executor_id_ = TypeVersionEnabled.get_type_version_string(self)
if self.optional_dict is not None and len(self.optional_dict) > 0:
# include optional_dict info in executor_id for result store,
# as parameters in optional_dict will impact result
executor_id_ += '_{}'.format('_'.join(
map(lambda k: '{k}_{v}'.format(k=k, v=self.optional_dict[k]),
sorted(self.optional_dict.keys()))))
return executor_id_
def executor_id(self):
executor_id_ = TypeVersionEnabled.get_type_version_string(self)
if self.optional_dict is not None:
# include optional_dict info in executor_id for result store,
# as parameters in optional_dict will impact result
executor_id_ += '_{}'.format(
'_'.join(
map(lambda k: '{k}_{v}'.format(k=k,v=self.optional_dict[k]),
sorted(self.optional_dict.keys()))
)
)
return executor_id_
def model_id(self):
return TypeVersionEnabled.get_type_version_string(self)
def executor_id(self):
return TypeVersionEnabled.get_type_version_string(self)
def __init__(self, dataset_reader):
TypeVersionEnabled.__init__(self)
self.dataset_reader = dataset_reader
def model_id(self):
return TypeVersionEnabled.get_type_version_string(self)
def __init__(self, dataset_reader):
TypeVersionEnabled.__init__(self)
self.dataset_reader = dataset_reader
