def main(self,
train_scenario_dn:str,
test_scenario_dn:str=None):
'''
main method
Arguments
---------
train_scenario_dn:str
directory name with ASlib scenario training data
test_scenarios_dn:str
directory name with ASlib scenario test data
(performance data is missing)
'''
# Read scenario files
scenario = ASlibScenario()
scenario.read_scenario(dn=train_scenario_dn)
# fit on training data
self.fit(scenario=scenario)
# Read test files
# ASlibScenario is not designed to read partial scenarios
# therefore, we have to cheat a bit
scenario = ASlibScenario()
scenario.read_description(fn=os.path.join(test_scenario_dn,"description.txt"))
scenario.read_feature_values(fn=os.path.join(test_scenario_dn,"feature_values.arff"))
scenario.read_feature_runstatus(fn=os.path.join(test_scenario_dn,"feature_runstatus.arff"))
# predict on test data
self.predict(scenario=scenario)
def __init__(self, path):
# read the parts of the aslib scenario which are present. This is adapted from
# the example here: (in the predict method)
#
# https://github.com/mlindauer/OASC_starterkit/blob/master/oasc_starterkit/single_best.py
scenario = ASlibScenario()
scenario.read_description(fn=os.path.join(path,"description.txt"))
scenario.read_feature_values(fn=os.path.join(path,"feature_values.arff"))
scenario.read_feature_runstatus(fn=os.path.join(path,"feature_runstatus.arff"))
scenario.instances = scenario.feature_data.index
self.scenario = scenario