def infer_from_processed(model_name, processed_file):
model = load_model(model_name)
print('infering from model "{}"'.format(model_name))
predictions = model.predict_generator(
generator=DataGenerator.__genfileforinference__(
processed_file, constants.CONTEXT_WINDOW_SIZE,
constants.SEQUENCE_SIZE),
steps=DataGenerator.__inferencelen__(processed_file,
constants.SEQUENCE_SIZE))
print('postprocessing')
predictions = np.reshape(
predictions,
(predictions.shape[0] * predictions.shape[1], predictions.shape[2]))
predictions = np.rint(predictions)
return predictions
