Esempio n. 1
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#app.run()

start_time = time.time()
server_address = "http://localhost:5000"

conn = Connection(server_address=server_address)

param_defs = {
    "x": pd.MinMaxNumericParamDef(-5, 10),
    "y": pd.MinMaxNumericParamDef(0, 15)
    #, "z": pd.NominalParamDef(["A", "B", "C"])
}

pd_dict = param_defs_to_dict(param_defs)
optimizer_arguments = {
    "initial_random_runs": 5,
    "acquisition_hyperparams": {},
    "num_gp_restarts": 5,
    #"acquisition": "ExpectedImprovement", #TODO string/gfunction translation?
    "kernel_params": {},
    "kernel": "matern52",
    "mcmc": True,
    "num_precomputed": 5,
    "multiprocessing": "queue"
}
#print("Looking ofr exps")
#print conn.get_all_experiments()
#print("Finished looking")
Esempio n. 2
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 def test_multiple_transform(self):
     pds = {
         "x": MinMaxNumericParamDef(0, 1),
         "y": FixedValueParamDef([0, 1, 2])
     }
     new_pd = dict_to_param_defs(param_defs_to_dict(pds))
Esempio n. 3
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    else:
        return result
#app.run()

start_time = time.time()
server_address = "http://localhost:5000"

conn = Connection(server_address=server_address)

param_defs = {
    "x": pd.MinMaxNumericParamDef(-5, 10),
    "y": pd.MinMaxNumericParamDef(0, 15)
    #, "z": pd.NominalParamDef(["A", "B", "C"])
}

pd_dict = param_defs_to_dict(param_defs)
optimizer_arguments = {
            "initial_random_runs": 5,
            "acquisition_hyperparams": {},
            "num_gp_restarts": 5,
            #"acquisition": "ExpectedImprovement", #TODO string/gfunction translation?
            "kernel_params": {},
            "kernel": "matern52",
            "mcmc": True,
            "num_precomputed": 5,
            "multiprocessing": "queue"
        }
#print("Looking ofr exps")
#print conn.get_all_experiments()
#print("Finished looking")