def _extract_features(data, labels, wildcards, features=None):
"""Extracts features in dictionary and combines with generic region
features.
"""
from ops.process import feature_table
from ops.features import features_basic
features = features.copy() if features else dict()
features.update(features_basic)
df = feature_table(data, labels, features)
for k, v in sorted(wildcards.items()):
df[k] = v
return df
def _extract_features_bare(data, labels, features=None, wildcards=None,**kwargs):
"""Extracts features in dictionary and combines with generic region
features.
"""
from ops.process import feature_table
features = features.copy() if features else dict()
features.update({'label': lambda r: r.label})
df = feature_table(data, labels, features)
if wildcards is not None:
for k,v in sorted(wildcards.items()):
df[k] = v
return df