add match-srnn

examples/QuoraQP/config/matchsrnn_quoraqp.config

@@ -4,9 +4,9 @@
       "model_type": "PY",
       "weights_file": "examples/QuoraQP/weights/matchsrnn.quora.weights",
       "save_weights_iters": 20,
-      "num_iters": 300,
+      "num_iters": 500,
       "display_interval": 10,
-      "test_weights_iters": 300,
+      "test_weights_iters": 500,
       "optimizer": "adam",
       "learning_rate": 0.001
   },

examples/QuoraQP/run_matchsrnn.sh

@@ -7,4 +7,4 @@ python matchzoo/main.py --phase train --model_file ${currpath}/examples/QuoraQP/
 
 # predict with the model
 
-#python matchzoo/main.py --phase predict --model_file ${currpath}/examples/QuoraQP/config/matchsrnn_quoraqp.config
+python matchzoo/main.py --phase predict --model_file ${currpath}/examples/QuoraQP/config/matchsrnn_quoraqp.config

matchzoo/models/matchsrnn.py

@@ -1,23 +1,15 @@
 # -*- coding=utf-8 -*-
-import keras
-import keras.backend as K
 import sys
 
-sys.path.append('../matchzoo/layers/')
-# from DynamicMaxPooling import *
-
+import keras
+import keras.backend as K
 from keras.models import Sequential, Model
 from keras.layers import *
-from keras.layers import Reshape, Embedding, Merge, Dot
 from keras.optimizers import Adam
 from model import BasicModel
 
-import sys
-
 sys.path.append('../matchzoo/layers/')
 sys.path.append('../matchzoo/utils/')
-
-from layers.DynamicMaxPooling import *
 from layers.MatchTensor import *
 from layers.SpatialGRU import *
 from utils.utility import *