def answer_probabilities(self, *args, **kwargs):
        input = self.input_layer.output(*args, **kwargs)
        input_clipped = T.clip(input, 0, 1) # T.maximum(input, 0)

        q1 = input_clipped[:, 0:3] # 1.1 - 1.3
        q2 = input_clipped[:, 3:5] # 2.1 - 2.2
        q3 = input_clipped[:, 5:7] # 3.1 - 3.2
        q4 = input_clipped[:, 7:9] # 4.1 - 4.2
        q5 = input_clipped[:, 9:13] # 5.1 - 5.4
        q6 = input_clipped[:, 13:15] # 6.1 - 6.2
        q7 = input_clipped[:, 15:18] # 7.1 - 7.3
        q8 = input_clipped[:, 18:25] # 8.1 - 8.7
        q9 = input_clipped[:, 25:28] # 9.1 - 9.3
        q10 = input_clipped[:, 28:31] # 10.1 - 10.3
        q11 = input_clipped[:, 31:37] # 11.1 - 11.6

        return q1, q2, q3, q4, q5, q6, q7, q8, q9, q10, q11
Returns a streaming handle to this job's timeline results.
dataset/ETHPy150Open benanne/kaggle-galaxies/custom.py/ClippedGalaxyOutputLayer.answer_probabilities--crossover with--dataset/ETHPy150Open hvandenb/splunk-elasticsearch/search-elasticsearch/bin/splunklib/client.py/Job.timeline