# The results directory.
if not hasattr(ds, 'resdir'):
ds.resdir = None
# Do r20_from_min_r2eff.
if not hasattr(ds, 'r20_from_min_r2eff'):
ds.r20_from_min_r2eff = True
# Remove insignificant level.
if not hasattr(ds, 'insignificance'):
ds.insignificance = 0.0
# The grid search size (the number of increments per dimension). "None" will set default values.
if not hasattr(ds, 'GRID_INC'):
#ds.GRID_INC = None
ds.GRID_INC = 10
# The do clustering.
if not hasattr(ds, 'do_cluster'):
ds.do_cluster = True
# The function tolerance. This is used to terminate minimisation once the function value between iterations is less than the tolerance.
# The default value is 1e-25.
if not hasattr(ds, 'set_func_tol'):
ds.set_func_tol = 1e-25
# The maximum number of iterations.
# The default value is 1e7.
if not hasattr(ds, 'set_max_iter'):
ds.set_max_iter = 100000
# The results directory.
if not hasattr(ds, 'resdir'):
ds.resdir = None
# Do r20_from_min_r2eff.
if not hasattr(ds, 'r20_from_min_r2eff'):
ds.r20_from_min_r2eff = True
# Remove insignificant level.
if not hasattr(ds, 'insignificance'):
ds.insignificance = 0.0
# The grid search size (the number of increments per dimension). "None" will set default values.
if not hasattr(ds, 'GRID_INC'):
#ds.GRID_INC = None
ds.GRID_INC = 21
# The do clustering.
if not hasattr(ds, 'do_cluster'):
ds.do_cluster = True
# The function tolerance. This is used to terminate minimisation once the function value between iterations is less than the tolerance.
# The default value is 1e-25.
if not hasattr(ds, 'set_func_tol'):
ds.set_func_tol = 1e-25
# The maximum number of iterations.
# The default value is 1e7.
if not hasattr(ds, 'set_max_iter'):
ds.set_max_iter = 10000000
# The results directory.
if not hasattr(ds, 'resdir'):
ds.resdir = None
# Do r20_from_min_r2eff.
if not hasattr(ds, 'r20_from_min_r2eff'):
ds.r20_from_min_r2eff = True
# Remove insignificant level.
if not hasattr(ds, 'insignificance'):
ds.insignificance = 0.0
# The grid search size (the number of increments per dimension). "None" will set default values.
if not hasattr(ds, 'GRID_INC'):
#ds.GRID_INC = None
ds.GRID_INC = 21
# The do clustering.
if not hasattr(ds, 'do_cluster'):
ds.do_cluster = True
# The function tolerance. This is used to terminate minimisation once the function value between iterations is less than the tolerance.
# The default value is 1e-25.
if not hasattr(ds, 'set_func_tol'):
ds.set_func_tol = 1e-25
# The maximum number of iterations.
# The default value is 1e7.
if not hasattr(ds, 'set_max_iter'):
ds.set_max_iter = 10000000
# The results directory.
if not hasattr(ds, 'resdir'):
ds.resdir = None
# Do r20_from_min_r2eff.
if not hasattr(ds, 'r20_from_min_r2eff'):
ds.r20_from_min_r2eff = True
# Remove insignificant level.
if not hasattr(ds, 'insignificance'):
ds.insignificance = 0.0
# The grid search size (the number of increments per dimension). "None" will set default values.
if not hasattr(ds, 'GRID_INC'):
#ds.GRID_INC = None
ds.GRID_INC = 10
# The do clustering.
if not hasattr(ds, 'do_cluster'):
ds.do_cluster = True
# The function tolerance. This is used to terminate minimisation once the function value between iterations is less than the tolerance.
# The default value is 1e-25.
if not hasattr(ds, 'set_func_tol'):
ds.set_func_tol = 1e-25
# The maximum number of iterations.
# The default value is 1e7.
if not hasattr(ds, 'set_max_iter'):
ds.set_max_iter = 100000
