@@ -85,7 +85,7 @@ valid_pack = mz.datasets.wiki_qa.load_data('dev', task=ranking_task)
85
85
Preprocess your input data in three lines of code, keep track parameters to be passed into the model:
86
86
87
87
``` python
88
- preprocessor = mz.models.DSSM .get_default_preprocessor()
88
+ preprocessor = mz.models.ArcI .get_default_preprocessor()
89
89
train_processed = preprocessor.fit_transform(train_pack)
90
90
valid_processed = preprocessor.transform(valid_pack)
91
91
```
@@ -106,7 +106,7 @@ validset = mz.dataloader.Dataset(
106
106
107
107
Define padding callback and generate data loader:
108
108
``` python
109
- padding_callback = mz.models.DSSM .get_default_padding_callback()
109
+ padding_callback = mz.models.ArcI .get_default_padding_callback()
110
110
111
111
trainloader = mz.dataloader.DataLoader(
112
112
dataset = trainset,
@@ -125,7 +125,7 @@ validloader = mz.dataloader.DataLoader(
125
125
Initialize the model, fine-tune the hyper-parameters:
126
126
127
127
``` python
128
- model = mz.models.DSSM ()
128
+ model = mz.models.ArcI ()
129
129
model.params[' task' ] = ranking_task
130
130
model.params[' vocab_size' ] = preprocessor.context[' vocab_size' ]
131
131
model.guess_and_fill_missing_params()
@@ -260,14 +260,14 @@ If you use MatchZoo in your research, please use the following BibTex entry.
260
260
<tr align="center">
261
261
<td>
262
262
<a href="https://github.com/ChrisRBXiong"><img width="40" height="40" src="https://github.com/ChrisRBXiong.png?s=40" alt="ChrisRBXiong"></a><br>
263
- <a href="https://github.com/ChrisRBXiong">Ribing Xiong</a>
264
- <p>Core Dev<br>
263
+ <a href="https://github.com/ChrisRBXiong">Ruibin Xiong</a>
264
+ <p>Dev<br>
265
265
M.S. ICT</p>
266
266
</td>
267
267
<td>
268
268
<a href="https://github.com/dyuyang"><img width="40" height="40" src="https://github.com/dyuyang.png?s=40" alt="dyuyang"></a><br>
269
269
<a href="https://github.com/dyuyang">Yuyang Ding</a>
270
- <p>Core Dev<br>
270
+ <p>Dev<br>
271
271
M.S. ICT</p>
272
272
</td>
273
273
<td>
0 commit comments