def __init__(self, obj_func_idx, replication_no, bucket):
super(ColdstartRosenbrockBenchmarkPes, self).__init__(obj_func_idx, replication_no, "pes", bucket)
prev_idx = 2 if self.obj_func_idx == 0 else (self.obj_func_idx - 1)
if obj_func_idx == 3: # for slsh, prev is van
prev_idx = 0
prev_data_filename = "coldstart/data/seqpes_{0}_repl_{1}".format(self.func_list[prev_idx].getFuncName(), self.replication_no)
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=2, IS_key_dict={0:"coldstart/data/{0}_1_points_each_repl_{1}".format(self.obj_func_min.getFuncName(), self.replication_no), 1:prev_data_filename}, combine_IS=True, sign=1.0)
def __init__(self, replication_no, bucket):
super(MisoperovHalideMixBUBenchmarkPes, self).__init__(replication_no, "pes", bucket)
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=3,
IS_key_dict={0:"miso/data/perovHalideMixBU_IS_0_10_points_repl_{0}".format(replication_no),
1:"miso/data/perovHalideMixBU_IS_1_10_points_repl_{0}".format(replication_no)
},
combine_IS=True, sign=1.0)
def __init__(self, obj_func_idx, replication_no, bucket):
super(ColdstartAtoBenchmarkPes,
self).__init__(obj_func_idx, replication_no, "pes", bucket)
prev_idx_1 = self.obj_func_idx - 2
prev_idx_2 = self.obj_func_idx - 1
prev_data_filename_1 = "coldstart/data/seqpes_{0}_repl_{1}".format(
self.func_list[prev_idx_1 if prev_idx_1 >= 0 else prev_idx_1 +
4].getFuncName(), self.replication_no)
prev_data_filename_2 = "coldstart/data/seqpes_{0}_repl_{1}".format(
self.func_list[prev_idx_2 if prev_idx_2 >= 0 else prev_idx_2 +
4].getFuncName(), self.replication_no)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=8,
IS_key_dict={
0:
"coldstart/data/{0}_1_points_each_repl_{1}".format(
self.obj_func_min.getFuncName(), self.replication_no),
1:
prev_data_filename_1,
2:
prev_data_filename_2
},
combine_IS=True,
sign=1.0)
def __init__(self, replication_no, bucket):
super(MisolrMU3BenchmarkMei, self).__init__(replication_no, "mei", bucket)
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=4,
IS_key_dict={0:"miso/data/lrMU2_IS_0_10_points_repl_{0}".format(replication_no),
1:"miso/data/lrMU2_IS_1_10_points_repl_{0}".format(replication_no)
},
combine_IS=False, sign=1.0)
def __init__(self, bucket):
super(MisolrMU4150stHyperEgo, self).__init__("ego")
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=4,
IS_key_dict={0: "miso/data/hyper_lrMU2_IS_0_1000_points"},
combine_IS=False,
sign=1.0)[0]
def __init__(self, bucket):
super(ColdstartAtoHyperSeqpes, self).__init__("seqpes")
# self._hist_data = construct_hist_data_from_pickle(dim=8, directory=self.data_dir, IS_filename_dict={0:"hyper_1000_points_atoC_vanilla"}, combine_IS=True, sign=1.0)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=8,
IS_key_dict={0: "coldstart/data/hyper_1000_points_atoC_vanilla"},
combine_IS=True,
sign=1.0)
def __init__(self, bucket):
super(MisoLrMUHyperMei, self).__init__("mei")
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=4,
IS_key_dict={
0: "miso/data/hyper_lrMU_IS_0_1000_points",
1: "miso/data/hyper_lrMU_IS_1_1000_points"
},
combine_IS=False,
sign=1.0)
def __init__(self, bucket):
super(MisolrMU4HyperPes, self).__init__("pes")
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=4,
IS_key_dict={
0: "miso/data/hyper_lrMU2_IS_0_1000_points",
1: "miso/data/hyper_lrMU2_IS_1_1000_points"
},
combine_IS=True,
sign=1.0)
def __init__(self, obj_func_idx, bucket):
super(MisoRosenbrockHyperEgo, self).__init__("ego", obj_func_idx)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=2,
IS_key_dict={
0:
"miso/data/hyper_{0}_IS_0_1000_points".format(
self.obj_func_min.getFuncName())
},
combine_IS=False,
sign=1.0)[0]
def __init__(self, replication_no, obj_func_idx, bucket):
super(MisoRosenbrockBenchmarkEgo,
self).__init__(replication_no, "ego", obj_func_idx, bucket)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=2,
IS_key_dict={
0:
"miso/data/{0}_IS_0_5_points_repl_{1}".format(
self.obj_func_min.getFuncName(), replication_no)
},
combine_IS=False,
sign=1.0)[0]
def __init__(self, replication_no, bucket):
super(MisoAtoextBenchmarkEgo, self).__init__(replication_no, "ego",
bucket)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=8,
IS_key_dict={
0:
"miso/data/atoext_IS_0_20_points_repl_{0}".format(
replication_no)
},
combine_IS=False,
sign=1.0)[0]
def __init__(self, bucket):
super(MisolrMU4150stHyperMkgCandPts, self).__init__("mkgcandpts")
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=4,
IS_key_dict={
0: "miso/data/hyper_lrMU2_IS_0_1000_points",
1: "miso/data/hyper_lrMU2_IS_1_1000_points"
},
combine_IS=False,
sign=-1.0,
take_diff=True,
primary_IS=0)
def __init__(self, obj_func_idx, replication_no, bucket):
super(ColdstartAtoBenchmarkSeqpes,
self).__init__(obj_func_idx, replication_no, "seqpes", bucket)
# self._hist_data = construct_hist_data_from_pickle(dim=8, directory=self.data_dir, IS_filename_dict={0:"{0}_1_points_each_repl_{1}".format(self.obj_func_min.getFuncName(), self.replication_no)}, combine_IS=True, sign=1.0)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=8,
IS_key_dict={
0:
"coldstart/data/{0}_1_points_each_repl_{1}".format(
self.obj_func_min.getFuncName(), self.replication_no)
},
combine_IS=True,
sign=1.0)
def __init__(self, bucket):
super(MisoAtoextHyperMkg, self).__init__("mkg")
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=8,
IS_key_dict={
0: "miso/data/hyper_atoext_IS_0_1000_points",
1: "miso/data/hyper_atoext_IS_1_1000_points",
2: "miso/data/hyper_atoext_IS_2_1000_points"
},
combine_IS=False,
sign=-1.0,
take_diff=True,
primary_IS=0)
def __init__(self, replication_no, bucket):
super(MisolrMU4150stBenchmarkMkgCandPts,
self).__init__(replication_no, "mkgcandpts", bucket)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=4,
IS_key_dict={
0: "miso/data/lrMU2_IS_0_10_points_repl_{0}".format(
replication_no),
1: "miso/data/lrMU2_IS_1_10_points_repl_{0}".format(
replication_no)
},
combine_IS=True,
sign=-1.0)
def __init__(self, bucket):
super(ColdstartAtoHyperMkg, self).__init__("mkg")
# self._hist_data = construct_hist_data_from_pickle(dim=8, directory=self.data_dir, IS_filename_dict={0:"hyper_1000_points_atoC_vanilla", 1:"hyper_1000_points_atoC_var3", 2:"hyper_1000_points_atoC_var4"}, combine_IS=False, sign=-1.0, take_diff=True, primary_key=0)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=8,
IS_key_dict={
0: "coldstart/data/hyper_1000_points_atoC_vanilla",
1: "coldstart/data/hyper_1000_points_atoC_var3",
2: "coldstart/data/hyper_1000_points_atoC_var4"
},
combine_IS=False,
sign=-1.0,
take_diff=True,
primary_IS=0)
def __init__(self, obj_func_idx, bucket):
super(MisoRosenbrockHyperMkg, self).__init__("mkg", obj_func_idx)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=2,
IS_key_dict={
0:
"miso/data/hyper_{0}_IS_0_1000_points".format(
self.obj_func_min.getFuncName()),
1:
"miso/data/hyper_{0}_IS_1_1000_points".format(
self.obj_func_min.getFuncName())
},
combine_IS=False,
sign=-1.0,
take_diff=True,
primary_IS=0)
def __init__(self, replication_no, bucket):
super(MisoAtoextBenchmarkMkg, self).__init__(replication_no, "mkg",
bucket)
self._hist_data = construct_hist_data_from_s3(
bucket=bucket,
dim=8,
IS_key_dict={
0:
"miso/data/atoext_IS_0_20_points_repl_{0}".format(
replication_no),
1:
"miso/data/atoext_IS_1_20_points_repl_{0}".format(
replication_no),
2:
"miso/data/atoext_IS_2_20_points_repl_{0}".format(
replication_no)
},
combine_IS=True,
sign=-1.0)
def __init__(self, bucket):
super(ColdstartRosenbrockHyperPes, self).__init__("pes")
# self._hist_data = construct_hist_data_from_pickle(dim=2, directory=self.data_dir, IS_filename_dict={0:"hyper_1000_points_rbCvanN", 1:"hyper_1000_points_rbCbiasN"}, combine_IS=True, sign=1.0)
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=2, IS_key_dict={0:"coldstart/data/hyper_1000_points_rbCvanN", 1:"coldstart/data/hyper_1000_points_rbCbiasN"}, combine_IS=True, sign=1.0)
def __init__(self, bucket):
super(ColdstartRosenbrockHyperMkg, self).__init__("mkg")
# self._hist_data = construct_hist_data_from_pickle(dim=2, directory=self.data_dir, IS_filename_dict={0:"hyper_1000_points_rbCvanN", 1:"hyper_1000_points_rbCbiasN"}, combine_IS=False, sign=-1.0, take_diff=True, primary_key=0)
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=2, IS_key_dict={0:"coldstart/data/hyper_1000_points_rbCvanN", 1:"coldstart/data/hyper_1000_points_rbCbiasN"}, combine_IS=False, sign=-1.0, take_diff=True, primary_IS=0)
def __init__(self, obj_func_idx, replication_no, bucket):
super(ColdstartRosenbrockBenchmarkEgo, self).__init__(obj_func_idx, replication_no, "ego", bucket)
# self._hist_data = construct_hist_data_from_pickle(dim=2, directory=self.data_dir, IS_filename_dict={0:"{0}_1_points_each_repl_{1}".format(self.obj_func_min.getFuncName(), self.replication_no)}, combine_IS=False, sign=1.0)[0]
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=2, IS_key_dict={0:"coldstart/data/{0}_1_points_each_repl_{1}".format(self.obj_func_min.getFuncName(), self.replication_no)}, combine_IS=False, sign=1.0)[0]
def __init__(self, bucket):
super(MisoperovHalideMixBUHyperMkg, self).__init__("mkg")
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=3,
IS_key_dict={0:"miso/data/hyper_perovHalideMixBU_IS_0_10_points",
1:"miso/data/hyper_perovHalideMixBU_IS_1_10_points"},
combine_IS=False, sign=-1.0, take_diff=True, primary_IS=0)
def __init__(self, bucket):
super(MisoperovHalideMixBUHyperPes, self).__init__("pes")
self._hist_data = construct_hist_data_from_s3(bucket=bucket, dim=3,
IS_key_dict={0:"miso/data/hyper_perovHalideMixBU_IS_0_10_points",
1:"miso/data/hyper_perovHalideMixBU_IS_1_10_points"},
combine_IS=True, sign=1.0)
