update propeller

propeller/README.en.md

@@ -21,7 +21,7 @@ Propeller provide the following benefits:
 ## install
 
 ```script
-cd propeller && pip install .
+pip install --user .
 ```
 
 ## Getting Started
@@ -71,7 +71,6 @@ cd propeller && pip install .
     # Start training!
     propeller.train_and_eval(BowModel, hparams, run_config, train_ds, eval_ds)
 ```
-More detail see example/toy/
 
 ## Main Feature
 1. train_and_eval
@@ -91,9 +90,9 @@ More detail see example/toy/
 
 4. Summary
     To trace tensor histogram in training, simply：
-    ```python
-        propeller.summary.histogram('loss', tensor) 
-    ```
+```python
+    propeller.summary.histogram('loss', tensor) 
+```
 
 
 ## Contributing

propeller/README.md

@@ -21,7 +21,7 @@ Propeller 具有下列优势：
 
 ## install|安装
 
-cd propeller && pip install .
+pip install --user .
 
 ## Getting Started|快速开始
 ```python
@@ -70,7 +70,6 @@ cd propeller && pip install .
     # 开始训练！
     propeller.train_and_eval(BowModel, hparams, run_config, train_ds, eval_ds)
 ```
-先洗详细请见example/toy/
 
 ## 主要构件
 1. train_and_eval
@@ -89,10 +88,10 @@ cd propeller && pip install .
 
 4. Summary
     对训练过程中的某些参数进行log追踪，只需要：
-    ```python
-                propeller.summary.histogram('loss', tensor) 
+```python
+            propeller.summary.histogram('loss', tensor) 
 
-    ```
+```
 
 
 ## Contributing|贡献

propeller/paddle/train/metrics.py

@@ -256,8 +256,10 @@ class Mrr(Metrics):
                     sorted(
                         tup, key=lambda t: t[2], reverse=True)) if l != 0
             ]
-            ranks = ranks[0]
-            return ranks
+            if len(ranks):
+                return ranks[0]
+            else:
+                return 0.
 
         mrr_for_qid = [
             calc_func(tup)