from utils.datasimulation import DataSimulation
from utils.argparsers.simulationargparser import SimulationArgumentParser
from algorithms.PDGD.pdgd import PDGD
from algorithms.PDGD.deeppdgd import DeepPDGD
from algorithms.DBGD.tddbgd import TD_DBGD
from algorithms.DBGD.pdbgd import P_DBGD
from algorithms.DBGD.tdmgd import TD_MGD
from algorithms.DBGD.pmgd import P_MGD
from algorithms.baselines.pairwise import Pairwise
from algorithms.DBGD.neural.pdbgd import Neural_P_DBGD
from algorithms.DBGD.pdbgd_dsp import P_DBGD_DSP
from algorithms.DBGD.pmgd_dsp import P_MGD_DSP
from algorithms.DBGD.tdNSGD import TD_NSGD
from algorithms.DBGD.tdNSGD_dsp import TD_NSGD_DSP
description = 'Run script for testing framework.'
parser = SimulationArgumentParser(description=description)
rankers = []
# Baselines
ranker_params = {'learning_rate_decay': 0.99}
sim_args, other_args = parser.parse_all_args(ranker_params)
run_name = 'attack/TD_DBGD'
rankers.append((run_name, TD_DBGD, other_args))
sim = DataSimulation(sim_args)
sim.run(rankers)
args.ind,
args.seed,
)
run_name = dir_name + ranker_name
ranker = [(run_name, PairRank, other_args)]
sim = DataSimulation(sim_args)
sim.run(ranker)
def set_sim_and_run(args):
cm = args.click_models[0]
n_impr = args.n_impressions
n_results = args.n_results
algo = args.algo.upper()
dir_name = "algo/{}/{}/{}/{}/".format(algo, cm, n_impr, n_results)
switcher = {
"PAIRRANK": lambda: func_pairrank(args, dir_name),
}
return switcher.get(algo, lambda: "ERROR: algorithm type not valid")()
# get input parameters
if __name__ == "__main__":
DESCRIPTION = "Run script for testing framework."
parser = SimulationArgumentParser(description=DESCRIPTION)
input_args = parser.parse_sim_args()
set_sim_and_run(input_args)