def test_lingeling(self):
print("lingeling")
cs = ConfigSpace(self.lingeling_pcs_file)
t0 = time.time()
for _ in xrange(1, 10000):
cs.get_random_config_vector()
print("lingeling random configs time (sec): %f" % (time.time() - t0))
def test_clasp(self):
print("clasp")
cs = ConfigSpace(self.clasp_pcs_file)
t0 = time.time()
for _ in xrange(1, 10000):
vec = cs.get_random_config_vector()
#print(cs.convert_param_vector(vec))
print("clasp random configs time (sec): %f" % (time.time() - t0))
def test_neighbor_lingeling(self):
print("lingeling neighbor")
cs = ConfigSpace(self.lingeling_pcs_file)
def_config = cs.get_default_config_dict()
def_vec = cs.convert_param_dict(def_config)
t0 = time.time()
for _ in xrange(0, 10000):
neighbor_vec = cs.get_random_neighbor(def_vec)
print("lingeling neighbor time (sec): %f" % (time.time() - t0))
def test_convert_clasp(self):
print("clasp convert")
cs = ConfigSpace(self.clasp_pcs_file)
def_config = cs.get_default_config_dict()
print(def_config)
def_vec = cs.convert_param_dict(def_config)
def_config_back = cs.convert_param_vector(def_vec)
#print(def_config)
#print(def_vec)
for param, value in def_config.iteritems():
assert value == def_config_back[param], "%s: %s vs %s" % (
param, str(value), str(def_config_back[param]))
def test_neighbor_clasp(self):
print("clasp neighbor")
cs = ConfigSpace(self.clasp_pcs_file)
def_config = cs.get_default_config_dict()
def_vec = cs.convert_param_dict(def_config)
t0 = time.time()
for _ in xrange(0, 10000):
neighbor_vec = cs.get_random_neighbor(def_vec)
print("clasp neighbor time (sec): %f" % (time.time() - t0))
for _ in xrange(1000):
random_vec = cs.get_random_config_vector()
random_dic_ = cs.convert_param_vector(random_vec)
random_vec_ = cs.convert_param_dict(random_dic_)
for i, (v1, v2) in enumerate(zip(random_vec, random_vec_)):
assert (numpy.isnan(v1) and numpy.isnan(v2)) or numpy.allclose(
v1, v2), "%d: %f vs %f\n %s\n %s\n" % (
i, v1, v2, map(str, random_vec), map(str, random_vec_))
def test_convert_lingeling(self):
print("lingeling convert")
cs = ConfigSpace(self.lingeling_pcs_file)
def_config = cs.get_default_config_dict()
def_vec = cs.convert_param_dict(def_config)
def_config_back = cs.convert_param_vector(def_vec)
#print(def_config)
#print(def_vec)
for param, value in def_config.iteritems():
assert value == def_config_back[param], "%s: %s vs %s" % (
param, str(value), str(def_config_back[param]))
for _ in xrange(1000):
random_vec = cs.get_random_config_vector()
random_dic_ = cs.convert_param_vector(random_vec)
random_vec_ = cs.convert_param_dict(random_dic_)
for i, (v1, v2) in enumerate(zip(random_vec, random_vec_)):
assert v1 == v2, "%d: %f vs %f\n %s\n %s\n" % (
i, v1, v2, map(str, random_vec), map(str, random_vec_))
def test_aaron(self):
print("aaron")
cs = ConfigSpace(self.aaron_pcs_file)
def __init__(self,
smac_output,
num_trees=30,
split_min=5,
seed=42,
improvement_over="NOTHING",
quantile_to_compare=0.25,
heap_size=1024,
fanova_lib_folder=None,
fanova_class_folder=None):
"""
Starts the Fanova from the scenario directory and opens a TCP connection to communicate with Java
Arguments:
smac_output (str): Path to the state_run directory created by SMAC
num_trees (int): Number of trees to create the Random Forest
split_min (int): Minimum number of points to create a new split in the Random Forest
heap_size (int): Head size in MB for Java
improvement_over [DEFAULT, QUANTILE, NOTHING]: Compute improvements with respect to (this setting)
quantile_to_compare (float): Quantile to compare to (if using QUANTILE --improvements-over)
"""
self._remote = FanovaRemote()
self.check_output_dir(smac_output)
if fanova_lib_folder is None:
self._fanova_lib_folder = resource_filename("pyfanova", 'fanova')
else:
self._fanova_lib_folder = fanova_lib_folder
self._fanova_class_folder = fanova_class_folder
self._num_trees = num_trees
self._split_min = split_min
self._seed = seed
self._smac_output = smac_output
self._heap_size = "-Xmx" + str(heap_size) + "m"
self._improvement_over = improvement_over
self._quantile_to_compare = quantile_to_compare
self._start_fanova()
logging.debug("Now connecting to fanova...")
if self._start_connection():
if len(glob.glob(os.path.join(smac_output, "*.pcs"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output, "*.pcs"))[0]
elif len(glob.glob(os.path.join(smac_output, "params.txt"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,
"params.txt"))[0]
elif len(glob.glob(os.path.join(smac_output,
"param-file.txt"))) == 1:
pcs_file = glob.glob(
os.path.join(smac_output, "param-file.txt"))[0]
else:
print(
"Error: Couldn't find a parameter configuration space file. Make sure that in the SMAC output directory is a valid file with name *.pcs, params.txt or param-file.txt"
)
return
self._config_space = ConfigSpace(pcs_file)
param_names = self.get_parameter_names()
self.param_name2dmin = dict(
list(zip(param_names, list(range(len(param_names))))))
else:
stdout, stderr = self._process.communicate()
error_msg = "Failed starting fanova. Did you start it from a SMAC state-run directory?"
if stdout is not None:
error_msg += stdout
if stderr is not None:
error_msg += stderr
raise RuntimeError(error_msg)
class Fanova(object):
def __init__(self,
smac_output,
num_trees=30,
split_min=5,
seed=42,
improvement_over="NOTHING",
quantile_to_compare=0.25,
heap_size=1024,
fanova_lib_folder=None,
fanova_class_folder=None):
"""
Starts the Fanova from the scenario directory and opens a TCP connection to communicate with Java
Arguments:
smac_output (str): Path to the state_run directory created by SMAC
num_trees (int): Number of trees to create the Random Forest
split_min (int): Minimum number of points to create a new split in the Random Forest
heap_size (int): Head size in MB for Java
improvement_over [DEFAULT, QUANTILE, NOTHING]: Compute improvements with respect to (this setting)
quantile_to_compare (float): Quantile to compare to (if using QUANTILE --improvements-over)
"""
self._remote = FanovaRemote()
self.check_output_dir(smac_output)
if fanova_lib_folder is None:
self._fanova_lib_folder = resource_filename("pyfanova", 'fanova')
else:
self._fanova_lib_folder = fanova_lib_folder
self._fanova_class_folder = fanova_class_folder
self._num_trees = num_trees
self._split_min = split_min
self._seed = seed
self._smac_output = smac_output
self._heap_size = "-Xmx" + str(heap_size) + "m"
self._improvement_over = improvement_over
self._quantile_to_compare = quantile_to_compare
self._start_fanova()
logging.debug("Now connecting to fanova...")
if self._start_connection():
if len(glob.glob(os.path.join(smac_output, "*.pcs"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output, "*.pcs"))[0]
elif len(glob.glob(os.path.join(smac_output, "params.txt"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,
"params.txt"))[0]
elif len(glob.glob(os.path.join(smac_output,
"param-file.txt"))) == 1:
pcs_file = glob.glob(
os.path.join(smac_output, "param-file.txt"))[0]
else:
print(
"Error: Couldn't find a parameter configuration space file. Make sure that in the SMAC output directory is a valid file with name *.pcs, params.txt or param-file.txt"
)
return
self._config_space = ConfigSpace(pcs_file)
param_names = self.get_parameter_names()
self.param_name2dmin = dict(
list(zip(param_names, list(range(len(param_names))))))
else:
stdout, stderr = self._process.communicate()
error_msg = "Failed starting fanova. Did you start it from a SMAC state-run directory?"
if stdout is not None:
error_msg += stdout
if stderr is not None:
error_msg += stderr
raise RuntimeError(error_msg)
def __del__(self):
if self._remote.connected:
self._remote.send("die")
self._remote.disconnect()
def get_parameter_names(self):
self._remote.send("get_parameter_names")
result = self._remote.receive().strip()
if len(result) > 0:
names = result.split(';')
else:
names = []
logging.error("No parameters found")
return names
def check_output_dir(self, path):
#if len(glob.glob(os.path.join(p,"*.pcs"))) == 0 or glob.glob(os.path.join(p,"*.pcs"))
pass
def get_marginal(self, param):
"""
Returns the marginal of param
Arguments:
param (str): Parameter name
Returns:
double: marginal
"""
dim = -1
if type(param) == int:
dim = param
else:
assert param in self.param_name2dmin, "param %s not known" % param
dim = self.param_name2dmin[param]
if dim == -1:
logging.error("Parameter not found")
self._remote.send_command(["get_marginal", str(dim)])
result = self._remote.receive()
if result == "":
return float('nan')
else:
return float(result)
def get_pairwise_marginal(self, param1, param2):
"""
Returns the pairwise marginal between param1 and param2
Arguments:
param1 (str): Parameter name of param1
param2 (str): Parameter name of param2
Returns:
double: marginal
"""
dim1 = -1
dim2 = -1
if type(param1) == int and type(param2) == int:
dim1 = param1
dim2 = param2
else:
assert param1 in self.param_name2dmin, "param %s not known" % param1
assert param2 in self.param_name2dmin, "param %s not known" % param2
dim1 = self.param_name2dmin[param1]
dim2 = self.param_name2dmin[param2]
if dim1 == -1 or dim2 == -1:
logging.error("Parameters not found")
self._remote.send_command(
["get_pairwise_marginal",
str(dim1), str(dim2)])
result = float(self._remote.receive())
if result == "":
return float('nan')
else:
return float(result)
def get_marginal_for_value(self, param, value):
"""
Returns the marginal of param for a specific value
Arguments:
param (str): Parameter name
value (double): Value in the interval [0, 1] (Fanova maps it internally to the actual bounds)
Returns:
double: marginal
"""
assert value >= 0 and value <= 1
return self._get_marginal_for_value(param, value)
def get_categorical_marginal_for_value(self, param, value):
"""
Returns the categorical marginal for a specific value
Arguments:
param (str): Parameter name
value (int): 0-indexed categorical value
Returns:
double: marginal
"""
size = self._config_space.get_categorical_size(param)
if (value >= size):
print(
"Categorical value %d is out of bounds [%d, %d] for parameter %s"
% (value, 0, size, param))
return
else:
return self._get_marginal_for_value(param, value)
def _get_marginal_for_value(self, param, value):
dim = self._convert_param2dim(param)
self._remote.send_command(
["get_marginal_for_value",
str(dim), str(value)])
result = self._remote.receive()
result = result.strip().split(';')
return (float(result[0]), float(result[1]))
def _get_marginal_for_value_pair(self, param1, param2, value1, value2):
dim1 = self._convert_param2dim(param1)
dim2 = self._convert_param2dim(param2)
self._remote.send_command([
"get_marginal_for_value_pair",
str(dim1),
str(dim2),
str(value1),
str(value2)
])
result = self._remote.receive().split(';')
return (float(result[0]), float(result[1]))
def _convert_param2dim(self, param):
dim = -1
if type(param) == int:
dim = param
else:
assert param in self.param_name2dmin, "param %s not known" % param
dim = self.param_name2dmin[param]
return dim
def get_config_space(self):
"""
Returns the configuration space that was used to build the Random Forest
Returns:
ConfigSpace
"""
return self._config_space
def get_all_pairwise_marginals(self):
"""
Returns the all pairwise marginal
Returns:
list: pairwise_marginals
"""
param_names = self.get_parameter_names()
pairwise_marginals = []
for i, param_name1 in enumerate(param_names):
for j, param_name2 in enumerate(param_names):
if i <= j:
continue
pairwise_marginal_performance = self.get_pairwise_marginal(
i, j)
pairwise_marginals.append(
(pairwise_marginal_performance, param_name1, param_name2))
return pairwise_marginals
def get_most_important_pairwise_marginals(self, n=10):
"""
Returns the n most important pairwise marginals
Arguments:
n (int): The number of pairwise marginals that will be returned
Returns:
list: pairwise_marginal
"""
pairwise_marginal_performance = self.get_all_pairwise_marginals()
pairwise_marginal_performance = sorted(pairwise_marginal_performance,
reverse=True)
important_pairwise_marginals = [
(p1, p2) for marginal, p1, p2 in pairwise_marginal_performance[:n]
]
return important_pairwise_marginals
def print_all_marginals(self, max_num=30, pairwise=True):
"""
Prints and returns the all marginal
Arguments:
max_num (int): Maximum number of marginals that will be returned
pairwise (bool): Considers pairwise marginals or not
Returns:
list: (marginal, name)
"""
param_names = self.get_parameter_names()
num_params = len(param_names)
main_marginal_performances = [
self.get_marginal(i) for i in range(num_params)
]
labelled_performances = []
for marginal, param_name in zip(main_marginal_performances,
param_names):
labelled_performances.append(
(marginal,
"%.2f%% due to main effect: %s" % (marginal, param_name),
param_name))
print("Sum of fractions for main effects %.2f%%" %
(sum(main_marginal_performances)))
if pairwise:
pairwise_marginal_performance = self.get_all_pairwise_marginals()
sum_of_pairwise_marginals = 0
for pairwise_marginal_performance, param_name1, param_name2 in pairwise_marginal_performance:
sum_of_pairwise_marginals += pairwise_marginal_performance
label = "%.2f%% due to interaction: %s x %s" % (
pairwise_marginal_performance, param_name1, param_name2)
labelled_performances.append(
(pairwise_marginal_performance, label,
param_name1 + " x " + param_name2))
print("Sum of fractions for pairwise interaction effects %.2f%%" %
(sum_of_pairwise_marginals))
sorted_performances = sorted(labelled_performances, reverse=True)
return_values = []
if max_num is not None:
sorted_performances = sorted_performances[:max_num]
for marginal, label, name in sorted_performances:
return_values.append((marginal, name))
return return_values
def _start_fanova(self):
cmds = [
"java", self._heap_size, "-cp", ":".join(self._fanova_classpath()),
"net.aeatk.fanova.FAnovaExecutor", "--restoreScenario",
self._smac_output, "--seed",
str(self._seed), "--rf-num-trees",
str(self._num_trees), "--split-min",
str(self._split_min), "--ipc-port",
str(self._remote.port), "--improvements-over",
self._improvement_over, "--quantile-to-compare",
str(self._quantile_to_compare)
]
#TODO: check that fanova was started successfully and wasn't killed
with open(os.devnull, "w") as fnull:
logging.debug(" ".join(cmds))
if logging.getLogger().level <= logging.DEBUG:
self._process = Popen(cmds,
stdout=sys.stdout,
stderr=sys.stdout)
else:
self._process = Popen(
cmds, stdout=None,
stderr=None) #stdout=fnull, stderr=fnull)
def _start_connection(self):
logging.debug("starting connection...")
while self._process.poll() is None:
#while the process is still running we keep on trying to accept the connection
TIMEOUT = 5
try:
self._remote.connect(TIMEOUT)
logging.debug("connected")
return True
except socket.timeout:
logging.debug("timeout")
pass
logging.debug("failed starting fanova")
#the process terminated without ever instantiating a connection...something went wrong
return False
def unormalize_value(self, parameter, value):
assert value <= 1 and value >= 0
self._remote.send_command(
["unormalize_value",
str(parameter), str(value)])
value = self._remote.receive()
if value != "\n":
return float(value)
else:
logging.error("Parameter not found")
raise ValueError("Parameter not found")
def normalize_value(self, param_name, value):
"""
Normalize values to the range [0,1] w.r.t to the upper and lower
bound of the paramter
input:
param_name: the name of the parameter
value: the value to normalize
returns:
the normalized value
"""
self._remote.send_command(
["unormalize_value", str(param_name),
str(1)])
upper_bound = float(self._remote.receive())
self._remote.send_command(
["unormalize_value", str(param_name),
str(0)])
lower_bound = float(self._remote.receive())
return (float(value) - lower_bound) / (upper_bound - lower_bound)
def get_test_values_for_param(self, param_name):
"""
Get the values for which a parameter was evaluated in the smac
run.
input:
param_name: the name of the parameter
returns:
A list of values for which the parameter was evaluated
"""
result_parser = Resultparser(self._smac_output)
run_configs = result_parser.parse_runConfigs()
values = []
for ii in range(0, len(run_configs)):
run = run_configs[ii]
if run[param_name] is None:
raise ValueError(
"Couldn't find parameter {0} in config!".format(
param_name))
else:
values.append(run[param_name])
return values
def _fanova_classpath(self):
classpath = [
fname for fname in os.listdir(self._fanova_lib_folder)
if fname.endswith(".jar")
]
classpath = [
os.path.join(self._fanova_lib_folder, fname) for fname in classpath
]
classpath = [os.path.abspath(fname) for fname in classpath]
if self._fanova_class_folder is not None:
classpath.append(os.path.abspath(self._fanova_class_folder))
logging.debug(classpath)
return classpath
def unormalize_value(self, parameter, value):
assert value <= 1 and value >= 0
self._remote.send_command(
["unormalize_value",
str(parameter), str(value)])
value = self._remote.receive().strip()
if value:
return float(value)
else:
logging.error("Parameter not found")
raise ValueError("Parameter not found")
def __init__(self, smac_output, num_trees=30,
split_min=5,
seed=42,
improvement_over="NOTHING",
quantile_to_compare=0.25,
heap_size=1024,
fanova_lib_folder=None,
fanova_class_folder=None):
"""
Starts the Fanova from the scenario directory and opens a TCP connection to communicate with Java
Arguments:
smac_output (str): Path to the state_run directory created by SMAC
num_trees (int): Number of trees to create the Random Forest
split_min (int): Minimum number of points to create a new split in the Random Forest
heap_size (int): Head size in MB for Java
improvement_over [DEFAULT, QUANTILE, NOTHING]: Compute improvements with respect to (this setting)
quantile_to_compare (float): Quantile to compare to (if using QUANTILE --improvements-over)
"""
self._remote = FanovaRemote()
self.check_output_dir(smac_output)
if fanova_lib_folder is None:
self._fanova_lib_folder = resource_filename("pyfanova", 'fanova')
else:
self._fanova_lib_folder = fanova_lib_folder
self._fanova_class_folder = fanova_class_folder
self._num_trees = num_trees
self._split_min = split_min
self._seed = seed
self._smac_output = smac_output
self._heap_size = "-Xmx" + str(heap_size) + "m"
self._improvement_over = improvement_over
self._quantile_to_compare = quantile_to_compare
self._start_fanova()
logging.debug("Now connecting to fanova...")
if self._start_connection():
if len(glob.glob(os.path.join(smac_output,"*.pcs"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,"*.pcs"))[0]
elif len(glob.glob(os.path.join(smac_output,"params.txt"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,"params.txt"))[0]
elif len(glob.glob(os.path.join(smac_output,"param-file.txt"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,"param-file.txt"))[0]
else:
print "Error: Couldn't find a parameter configuration space file. Make sure that in the SMAC output directory is a valid file with name *.pcs, params.txt or param-file.txt"
return
self._config_space = ConfigSpace(pcs_file)
param_names = self.get_parameter_names()
self.param_name2dmin = dict(list(zip(param_names, list(range(len(param_names))))))
else:
stdout, stderr = self._process.communicate()
error_msg = "Failed starting fanova. Did you start it from a SMAC state-run directory?"
if stdout is not None:
error_msg += stdout
if stderr is not None:
error_msg += stderr
raise RuntimeError(error_msg)
class Fanova(object):
def __init__(self, smac_output, num_trees=30,
split_min=5,
seed=42,
improvement_over="NOTHING",
quantile_to_compare=0.25,
heap_size=1024,
fanova_lib_folder=None,
fanova_class_folder=None):
"""
Starts the Fanova from the scenario directory and opens a TCP connection to communicate with Java
Arguments:
smac_output (str): Path to the state_run directory created by SMAC
num_trees (int): Number of trees to create the Random Forest
split_min (int): Minimum number of points to create a new split in the Random Forest
heap_size (int): Head size in MB for Java
improvement_over [DEFAULT, QUANTILE, NOTHING]: Compute improvements with respect to (this setting)
quantile_to_compare (float): Quantile to compare to (if using QUANTILE --improvements-over)
"""
self._remote = FanovaRemote()
self.check_output_dir(smac_output)
if fanova_lib_folder is None:
self._fanova_lib_folder = resource_filename("pyfanova", 'fanova')
else:
self._fanova_lib_folder = fanova_lib_folder
self._fanova_class_folder = fanova_class_folder
self._num_trees = num_trees
self._split_min = split_min
self._seed = seed
self._smac_output = smac_output
self._heap_size = "-Xmx" + str(heap_size) + "m"
self._improvement_over = improvement_over
self._quantile_to_compare = quantile_to_compare
self._start_fanova()
logging.debug("Now connecting to fanova...")
if self._start_connection():
if len(glob.glob(os.path.join(smac_output,"*.pcs"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,"*.pcs"))[0]
elif len(glob.glob(os.path.join(smac_output,"params.txt"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,"params.txt"))[0]
elif len(glob.glob(os.path.join(smac_output,"param-file.txt"))) == 1:
pcs_file = glob.glob(os.path.join(smac_output,"param-file.txt"))[0]
else:
print "Error: Couldn't find a parameter configuration space file. Make sure that in the SMAC output directory is a valid file with name *.pcs, params.txt or param-file.txt"
return
self._config_space = ConfigSpace(pcs_file)
param_names = self.get_parameter_names()
self.param_name2dmin = dict(list(zip(param_names, list(range(len(param_names))))))
else:
stdout, stderr = self._process.communicate()
error_msg = "Failed starting fanova. Did you start it from a SMAC state-run directory?"
if stdout is not None:
error_msg += stdout
if stderr is not None:
error_msg += stderr
raise RuntimeError(error_msg)
def __del__(self):
if self._remote.connected:
self._remote.send("die")
self._remote.disconnect()
def get_parameter_names(self):
self._remote.send("get_parameter_names")
result = self._remote.receive().strip()
if len(result) > 0:
names = result.split(';')
else:
names = []
logging.error("No parameters found")
return names
def check_output_dir(self, path):
#if len(glob.glob(os.path.join(p,"*.pcs"))) == 0 or glob.glob(os.path.join(p,"*.pcs"))
pass
def get_marginal(self, param):
"""
Returns the marginal of param
Arguments:
param (str): Parameter name
Returns:
double: marginal
"""
dim = -1
if type(param) == int:
dim = param
else:
assert param in self.param_name2dmin, "param %s not known" % param
dim = self.param_name2dmin[param]
if dim == -1:
logging.error("Parameter not found")
self._remote.send_command(["get_marginal", str(dim)])
result = self._remote.receive()
if result == "":
return float('nan')
else:
return float(result)
def get_pairwise_marginal(self, param1, param2):
"""
Returns the pairwise marginal between param1 and param2
Arguments:
param1 (str): Parameter name of param1
param2 (str): Parameter name of param2
Returns:
double: marginal
"""
dim1 = -1
dim2 = -1
if type(param1) == int and type(param2) == int:
dim1 = param1
dim2 = param2
else:
assert param1 in self.param_name2dmin, "param %s not known" % param1
assert param2 in self.param_name2dmin, "param %s not known" % param2
dim1 = self.param_name2dmin[param1]
dim2 = self.param_name2dmin[param2]
if dim1 == -1 or dim2 == -1:
logging.error("Parameters not found")
self._remote.send_command(["get_pairwise_marginal", str(dim1), str(dim2)])
result = float(self._remote.receive())
if result == "":
return float('nan')
else:
return float(result)
def get_marginal_for_value(self, param, value):
"""
Returns the marginal of param for a specific value
Arguments:
param (str): Parameter name
value (double): Value in the interval [0, 1] (Fanova maps it internally to the actual bounds)
Returns:
double: marginal
"""
assert value >= 0 and value <= 1
return self._get_marginal_for_value(param, value)
def get_categorical_marginal_for_value(self, param, value):
"""
Returns the categorical marginal for a specific value
Arguments:
param (str): Parameter name
value (int): 0-indexed categorical value
Returns:
double: marginal
"""
size = self._config_space.get_categorical_size(param)
if(value >= size):
print("Categorical value %d is out of bounds [%d, %d] for parameter %s" %(value, 0, size, param))
return
else:
return self._get_marginal_for_value(param, value)
def _get_marginal_for_value(self, param, value):
dim = self._convert_param2dim(param)
self._remote.send_command(["get_marginal_for_value", str(dim), str(value)])
result = self._remote.receive().split(';')
return (float(result[0]), float(result[1]))
def _get_marginal_for_value_pair(self, param1, param2, value1, value2):
dim1 = self._convert_param2dim(param1)
dim2 = self._convert_param2dim(param2)
self._remote.send_command(["get_marginal_for_value_pair", str(dim1), str(dim2), str(value1), str(value2)])
result = self._remote.receive().split(';')
return (float(result[0]), float(result[1]))
def _convert_param2dim(self, param):
dim = -1
if type(param) == int:
dim = param
else:
assert param in self.param_name2dmin, "param %s not known" % param
dim = self.param_name2dmin[param]
return dim
def get_config_space(self):
"""
Returns the configuration space that was used to build the Random Forest
Returns:
ConfigSpace
"""
return self._config_space
def get_all_pairwise_marginals(self):
"""
Returns the all pairwise marginal
Returns:
list: pairwise_marginals
"""
param_names = self.get_parameter_names()
pairwise_marginals = []
for i, param_name1 in enumerate(param_names):
for j, param_name2 in enumerate(param_names):
if i <= j:
continue
pairwise_marginal_performance = self.get_pairwise_marginal(i, j)
pairwise_marginals.append((pairwise_marginal_performance, param_name1, param_name2))
return pairwise_marginals
def get_most_important_pairwise_marginals(self, n=10):
"""
Returns the n most important pairwise marginals
Arguments:
n (int): The number of pairwise marginals that will be returned
Returns:
list: pairwise_marginal
"""
pairwise_marginal_performance = self.get_all_pairwise_marginals()
pairwise_marginal_performance = sorted(pairwise_marginal_performance, reverse=True)
important_pairwise_marginals = [(p1, p2) for marginal, p1, p2 in pairwise_marginal_performance[:n]]
return important_pairwise_marginals
def print_all_marginals(self, max_num=30, pairwise=True):
"""
Prints and returns the all marginal
Arguments:
max_num (int): Maximum number of marginals that will be returned
pairwise (bool): Considers pairwise marginals or not
Returns:
list: (marginal, name)
"""
param_names = self.get_parameter_names()
num_params = len(param_names)
main_marginal_performances = [self.get_marginal(i) for i in range(num_params)]
labelled_performances = []
for marginal, param_name in zip(main_marginal_performances, param_names):
labelled_performances.append((marginal, "%.2f%% due to main effect: %s" % (marginal, param_name), param_name))
print("Sum of fractions for main effects %.2f%%" % (sum(main_marginal_performances)))
if pairwise:
pairwise_marginal_performance = self.get_all_pairwise_marginals()
sum_of_pairwise_marginals = 0
for pairwise_marginal_performance, param_name1, param_name2 in pairwise_marginal_performance:
sum_of_pairwise_marginals += pairwise_marginal_performance
label = "%.2f%% due to interaction: %s x %s" % (pairwise_marginal_performance, param_name1, param_name2)
labelled_performances.append((pairwise_marginal_performance, label, param_name1 + " x " + param_name2))
print("Sum of fractions for pairwise interaction effects %.2f%%" % (sum_of_pairwise_marginals))
sorted_performances = sorted(labelled_performances, reverse=True)
return_values = []
if max_num is not None:
sorted_performances = sorted_performances[:max_num]
for marginal, label, name in sorted_performances:
print(label)
return_values.append((marginal, name))
return return_values
def _start_fanova(self):
cmds = ["java",
self._heap_size,
"-cp",
":".join(self._fanova_classpath()),
"net.aeatk.fanova.FAnovaExecutor",
"--restoreScenario", self._smac_output,
"--seed", str(self._seed),
"--rf-num-trees", str(self._num_trees),
"--split-min", str(self._split_min),
"--ipc-port", str(self._remote.port),
"--improvements-over", self._improvement_over,
"--quantile-to-compare", str(self._quantile_to_compare)
]
#TODO: check that fanova was started successfully and wasn't killed
with open(os.devnull, "w") as fnull:
logging.debug(" ".join(cmds))
if logging.getLogger().level <= logging.DEBUG:
self._process = Popen(cmds, stdout=sys.stdout, stderr=sys.stdout)
else:
self._process = Popen(cmds, stdout=fnull, stderr=sys.stdout)#stdout=fnull, stderr=fnull)
def _start_connection(self):
logging.debug("starting connection...")
while self._process.poll() is None:
#while the process is still running we keep on trying to accept the connection
TIMEOUT = 5
try:
self._remote.connect(TIMEOUT)
logging.debug("connected")
return True
except socket.timeout:
logging.debug("timeout")
pass
logging.debug("failed starting fanova")
#the process terminated without ever instantiating a connection...something went wrong
return False
def _fanova_classpath(self):
classpath = [fname for fname in os.listdir(self._fanova_lib_folder) if fname.endswith(".jar")]
classpath = [os.path.join(self._fanova_lib_folder, fname) for fname in classpath]
classpath = [os.path.abspath(fname) for fname in classpath]
if self._fanova_class_folder is not None:
classpath.append(os.path.abspath(self._fanova_class_folder))
logging.debug(classpath)
return classpath
def unormalize_value(self, parameter, value):
assert value <= 1 and value >= 0
self._remote.send_command(["unormalize_value", str(parameter), str(value)])
value = self._remote.receive()
if value != "\n":
return float(value)
else:
logging.error("Parameter not found")
raise ValueError("Parameter not found")
