def create(params):
"""
This is a factory function that creates a feature aggregator derived class
from the parameter file. It dynamically loads the requested feature aggregator class.
:param params: A dictionary from a yaml experiment file.
:type params: dict
:return:
:rtype: FeatureAggregator
"""
return acf_utils.behavior_factory(params, 'feature_aggregation', 'aggregator', 'fa_')
def create(params):
"""
This is a factory function that creates a feature aggregator derived class
from the parameter file. It dynamically loads the requested feature aggregator class.
:param params: A dictionary from a yaml experiment file.
:type params: dict
:return:
:rtype: FeatureAggregator
"""
return acf_utils.behavior_factory(params, 'feature_aggregation',
'aggregator', 'fa_')
def create(params):
"""
This is a factory function that creates a feature extractor derived class
from the parameter file. It dynamically loads the requested feature extractor class.
:param params: A dictionary from a yaml experiment file.
:type params: dict
:return:
:rtype: FeatureExtractor
.. note::
These keys are expected to be set in the experiment file:
* ['feature_extraction']['extractor']
"""
return acf_utils.behavior_factory(params, 'feature_extraction', 'extractor', "fe_")
def create(params):
return acf_utils.behavior_factory(params, 'model_testing', 'model_tester', 'tst_')
def create(params):
return acf_utils.behavior_factory(params, "model_training",
"model_trainer", "tr_")
def create(params):
return acf_utils.behavior_factory(params, "evaluation", "evaluator",
"ev_")
def create(params):
return acf_utils.behavior_factory(params, 'model_testing',
'model_tester', 'tst_')
def create(params):
return acf_utils.behavior_factory(params, "evaluation", "evaluator","ev_")
def create(params):
return acf_utils.behavior_factory(params, "model_training", "model_trainer","tr_")