diff options
Diffstat (limited to 'lib')
| -rwxr-xr-x | lib/dfatool.py | 25 |
1 files changed, 23 insertions, 2 deletions
diff --git a/lib/dfatool.py b/lib/dfatool.py index 42adfc7..e9af2af 100755 --- a/lib/dfatool.py +++ b/lib/dfatool.py @@ -225,6 +225,27 @@ class KeysightCSV: currents[i] = float(row[2]) * -1 return timestamps, currents +def by_name_to_by_param(by_name): + """ + Convert aggregation by name to aggregation by name and parameter values. + """ + by_param = dict() + for name in by_name.keys(): + for i, parameters in enumerate(by_name[name]['param']): + param_key = (name, tuple(parameters)) + if param_key not in by_param: + by_param[param_key] = dict() + for key in by_name[name].keys(): + by_param[param_key][key] = list() + by_param[param_key]['attributes'] = by_name[name]['attributes'] + # special case for PTA models + if 'isa' in by_name[name]: + by_param[param_key]['isa'] = by_name[name]['isa'] + for attribute in by_name[name]['attributes']: + by_param[param_key][attribute].append(by_name[name][attribute][i]) + return by_param + + def _xv_partitions_kfold(length, num_slices): pairs = [] indexes = np.arange(length) @@ -812,11 +833,11 @@ class AnalyticModel: assess -- calculate model quality """ - def __init__(self, by_name, by_param, parameters, verbose = True): + def __init__(self, by_name, parameters, verbose = True): """Create a new AnalyticModel and compute parameter statistics.""" self.cache = dict() self.by_name = by_name - self.by_param = by_param + self.by_param = by_name_to_by_param(by_name) self.names = sorted(by_name.keys()) self.parameters = sorted(parameters) self.verbose = verbose |