Error while predicting on new dataset

[adityalahiri]

Hi,
I am trying to run this on a dataset of my own. I did the prepare dataset part for my dataset. But when it tries to predict the point, I get the following error-

in
4 continuous_function_estimation=False,
5 returns_infos=True,
----> 6 path=path_data, sep=';', log=False)

/LORE/lore.py in explain(idx_record2explain, X2E, dataset, blackbox, ng_function, discrete_use_probabilities, continuous_function_estimation, returns_infos, path, sep, log)
38
39 dfx = build_df2explain(blackbox, x.reshape(1, -1), dataset).to_dict('records')[0]
---> 40 cc_outcome, rule, tree_path = pyyadt.predict_rule(dt, dfx, class_name, features_type, discrete, continuous)
41
42 # Apply Black Box and Decision Tree on neighborhood

/LORE/pyyadt.py in predict_rule(dt, x, class_name, features_type, discrete, continuous)
138
139 y, tree_path = predict_single_record(dt, x, class_name, edge_labels, node_labels, node_isleaf,
--> 140 features_type, discrete, continuous)
141 if y is None:
142 return None, None, None

/LORE/pyyadt.py in predict_single_record(dt, x, class_name, edge_labels, node_labels, node_isleaf, features_type, discrete, continuous, n_iter)
95 while not node_isleaf[node]:
96 att = node_labels[node]
---> 97 val = x[att]
98 for child in dt.neighbors(node):
99 count += 1

KeyError: '22'