def test_simulation_permutation_perturbation(file_regression, tmpdir, caplog, shared_fs):
"""Test simulation with clustering hierarchy"""
func_name = sys._getframe().f_code.co_name
output_dir = pre_test(func_name, tmpdir, caplog)
cmd = ("python -m anamod.simulation"
" -seed 3 -num_instances 100 -num_features 30 -fraction_relevant_features 0.5 -noise_multiplier 0.1"
" -contiguous_node_names 1 -hierarchy_type random -perturbation permutation -cleanup 0"
f" -analysis_type hierarchical -shared_filesystem {shared_fs} -output_dir {output_dir}")
pass_args = cmd.split()[2:]
with patch.object(sys, 'argv', pass_args):
simulation.main()
post_test(file_regression, caplog, output_dir)
def test_simulation_flat_hierarchy(file_regression, tmpdir, caplog, shared_fs):
"""Test simulation with flat hierarchy"""
func_name = sys._getframe().f_code.co_name
output_dir = pre_test(func_name, tmpdir, caplog)
cmd = ("python -m anamod.simulation"
" -seed 0 -num_instances 100 -num_features 30 -fraction_relevant_features 0.5 -noise_multiplier 0.1"
" -analysis_type hierarchical -hierarchy_type flat -cleanup 0"
f" -model_loader_filename {os.path.abspath(model_loader.__file__)}"
f" -shared_filesystem {shared_fs} -output_dir {output_dir}")
pass_args = cmd.split()[2:]
with patch.object(sys, 'argv', pass_args):
simulation.main()
post_test(file_regression, caplog, output_dir)
def test_condor_simulation_random_hierarchy(file_regression, tmpdir, caplog, shared_fs):
"""Test simulation with random hierarchy"""
func_name = sys._getframe().f_code.co_name
output_dir = pre_test(func_name, tmpdir, caplog)
cmd = ("python -m anamod.simulation -condor 1 -memory_requirement 1 -disk_requirement 1"
" -seed 1 -num_instances 100 -num_features 30 -fraction_relevant_features 0.5 -noise_multiplier 0.1"
" -analysis_type hierarchical -contiguous_node_names 1 -hierarchy_type random -perturbation permutation -cleanup 0"
f" -model_loader_filename {os.path.abspath(model_loader.__file__)}"
f" -shared_filesystem {shared_fs} -output_dir {output_dir}")
pass_args = cmd.split()[2:]
with patch.object(sys, 'argv', pass_args):
simulation.main()
post_test(file_regression, caplog, output_dir)
def test_simulation_regressor1(file_regression, tmpdir, caplog, shared_fs):
"""Test simulation with regression model over temporal data"""
func_name = sys._getframe().f_code.co_name
output_dir = pre_test(func_name, tmpdir, caplog)
cmd = (
"python -m anamod.simulation"
" -seed 100 -analysis_type temporal -num_instances 100 -num_features 10"
" -model_type regressor"
" -noise_multiplier auto"
" -fraction_relevant_features 0.5 -cleanup 0"
f" -shared_filesystem {shared_fs} -output_dir {output_dir}")
logging.getLogger().info(f"Cmd: {cmd}")
pass_args = cmd.split()[2:]
with patch.object(sys, 'argv', pass_args):
simulation.main()
post_test(file_regression, caplog, output_dir)
def test_simulation_classifier2(file_regression, tmpdir, caplog, shared_fs):
"""Test simulation with classification model over temporal data and quadratic losses computed w.r.t. predictions"""
func_name = sys._getframe().f_code.co_name
output_dir = pre_test(func_name, tmpdir, caplog)
cmd = (
"python -m anamod.simulation"
" -seed 100 -analysis_type temporal -num_instances 100 -num_features 10"
" -model_type classifier"
" -noise_multiplier auto -loss_target_values baseline_predictions"
f" -model_loader_filename {os.path.abspath(model_loader.__file__)}"
" -fraction_relevant_features 0.5 -cleanup 0"
f" -shared_filesystem {shared_fs} -output_dir {output_dir}")
logging.getLogger().info(f"Cmd: {cmd}")
pass_args = cmd.split()[2:]
with patch.object(sys, 'argv', pass_args):
simulation.main()
post_test(file_regression, caplog, output_dir)
def test_simulation_classifier_hierarchy1(file_regression, tmpdir, caplog,
shared_fs):
"""Test simulation over temporal data with flat feature hierarchy (otherwise identical to test_simulation_classifier1)"""
func_name = sys._getframe().f_code.co_name
output_dir = pre_test(func_name, tmpdir, caplog)
hierarchy_filename = f"{os.path.dirname(os.path.abspath(__file__))}/{RESOURCES_DIR}/{func_name}.json"
cmd = (
"python -m anamod.simulation"
" -seed 100 -analysis_type temporal -num_instances 100 -num_features 10"
f" -model_type classifier -hierarchy_filename {hierarchy_filename}"
" -noise_multiplier auto"
f" -model_loader_filename {os.path.abspath(model_loader.__file__)}"
" -fraction_relevant_features 0.5 -cleanup 0"
f" -shared_filesystem {shared_fs} -output_dir {output_dir}")
logging.getLogger().info(f"Cmd: {cmd}")
pass_args = cmd.split()[2:]
with patch.object(sys, 'argv', pass_args):
simulation.main()
post_test(file_regression, caplog, output_dir)