ids = ["EXAMPLE_{}".format(n) for n in range(1, num_examples + 1)]
// create a list of dictionaries as the features
index_width_for_feature_name = math.floor(math.log10(num_features)) + 1
feature_names = []
for n in range(start_feature_num, start_feature_num + num_features):
index_str = str(n).zfill(index_width_for_feature_name)
After Change
// that would be output by `model_params()` instead of the
// original names since that"s what we would get from SKLL
if use_feature_hashing:
index_width_for_feature_name = int(floor(log10(feature_bins))) + 1
hashed_feature_names = []
for i in range(feature_bins):
index_str = str(i + 1).zfill(index_width_for_feature_name)
