|
# TODO: this is algorithm specific therefore it should be handled inside the algorithm itself. |
else:
tree = get_model(row['predictor'], {})
tree.fit(training_set.iloc[:, :-1], training_set.iloc[:, -1])
params['predictor'] = tree
# Handle GridEx tests
# TODO: this is algorithm specific therefore it should be handled inside the algorithm itself.
if 'grid' in row.keys() and bool:
strategy, n = eval(row['strategies'])
if strategy == "F":