9e563bfcdce1a8ca490667dd3f5ebcfa58269508,examples/memn2n_dialogue/interactive_utils.py,,interactive_loop,#Any#Any#,30

Before Change


        if line_in == "show_memory":
            print_memory(context)
            continue
        if line_in == "show_attention":
            print_attention(context, interactive_output)
            continue
        if line_in == "allow_oov":
            allow_oov = not allow_oov
            print("Allow OOV = {}".format(allow_oov))
            continue

After Change


            context = old_context
            continue

        interactive_output = model.predict(np.expand_dims(memory, 0),
                                           np.expand_dims(user_utt, 0),
                                           np.expand_dims(cands_mat, 0))
        pred_cand_idx = interactive_output[0]
        response = babi.candidate_answers[pred_cand_idx]

        print(response)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: NervanaSystems/nlp-architect
Commit Name: 9e563bfcdce1a8ca490667dd3f5ebcfa58269508
Time: 2018-07-24
Author: andy@nervanasys.com
File Name: examples/memn2n_dialogue/interactive_utils.py
Class Name:
Method Name: interactive_loop


Project Name: NervanaSystems/nlp-architect
Commit Name: 794bd558da80b65713b51a964ec61e7ef36d4bf2
Time: 2018-05-14
Author: peteriz@users.noreply.github.com
File Name: examples/intent_extraction/interactive.py
Class Name:
Method Name:


Project Name: ClimbsRocks/auto_ml
Commit Name: 3f74cd386abdc18a4b0b48160686f9654fb22bc1
Time: 2016-12-01
Author: ClimbsBytes@gmail.com
File Name: auto_ml/utils_model_training.py
Class Name: FinalModelATC
Method Name: predict_proba