From 90988fbe9e7155f2fe0dac1776b38da5449d4743 Mon Sep 17 00:00:00 2001
From: JiabinYang <marsyang199376@gmail.com>
Date: Sat, 14 Jul 2018 04:05:38 +0000
Subject: [PATCH] Revert "refine the comments and the inference result format"

This reverts commit 7079f1bf5c101a5a27cb027d6e58d90c9fb3ebc1.
---
 01.fit_a_line/README.cn.md     |  10 ++++------
 01.fit_a_line/image/ranges.png | Bin 6737 -> 6668 bytes
 01.fit_a_line/index.cn.html    |  10 ++++------
 3 files changed, 8 insertions(+), 12 deletions(-)

diff --git a/01.fit_a_line/README.cn.md b/01.fit_a_line/README.cn.md
index e554770..936142b 100644
--- a/01.fit_a_line/README.cn.md
+++ b/01.fit_a_line/README.cn.md
@@ -179,7 +179,7 @@ feed_order=['x', 'y']
 除此之外，可以定义一个事件相应器来处理类似`打印训练进程`的事件：
 
 ```python
-# Specify the directory to save the parameters
+# Specify the directory path to save the parameters
 params_dirname = "fit_a_line.inference.model"
 
 # Plot data
@@ -190,11 +190,11 @@ plot_cost = Ploter(train_title, test_title)
 
 step = 0
 
-# event_handler prints training and testing info
+# event_handler to print training and testing info
 def event_handler_plot(event):
     global step
     if isinstance(event, fluid.EndStepEvent):
-        if event.step % 10 == 0: # record the test cost every 10 seconds
+        if event.step % 10 == 0: # every 10 batches, record a test cost
             test_metrics = trainer.test(
                 reader=test_reader, feed_order=feed_order)
 
@@ -254,9 +254,7 @@ batch_size = 10
 tensor_x = numpy.random.uniform(0, 10, [batch_size, 13]).astype("float32")
 
 results = inferencer.infer({'x': tensor_x})
-print("infer results: (House Price)")
-for k in range(0, batch_size-1):
-    print("%d. %f" % (k, results[0][k]))
+print("infer results: ", results[0])
 ```
 
 ## 总结
diff --git a/01.fit_a_line/image/ranges.png b/01.fit_a_line/image/ranges.png
index 5325df4800985983e17476f007658d1cdb170b1c..5d86b12715f46afbafb7d50e2938e184219b5b95 100644
GIT binary patch
delta 10
Rcmca;(ql5gV`J|TNdOwC1i1hJ

delta 78
zcmeA%xo9%M!<oUd#5JNMI6tkVJh3R1Avdw4ASb^hCo@T*EVZaOGe1wkNDl~g6f#Om
Y3as??5eoG3i_-Pm=3n97=ypsJ09x7{wEzGB

diff --git a/01.fit_a_line/index.cn.html b/01.fit_a_line/index.cn.html
index db738d9..32760a2 100644
--- a/01.fit_a_line/index.cn.html
+++ b/01.fit_a_line/index.cn.html
@@ -221,7 +221,7 @@ feed_order=['x', 'y']
 除此之外，可以定义一个事件相应器来处理类似`打印训练进程`的事件：
 
 ```python
-# Specify the directory to save the parameters
+# Specify the directory path to save the parameters
 params_dirname = "fit_a_line.inference.model"
 
 # Plot data
@@ -232,11 +232,11 @@ plot_cost = Ploter(train_title, test_title)
 
 step = 0
 
-# event_handler prints training and testing info
+# event_handler to print training and testing info
 def event_handler_plot(event):
     global step
     if isinstance(event, fluid.EndStepEvent):
-        if event.step % 10 == 0: # record the test cost every 10 seconds
+        if event.step % 10 == 0: # every 10 batches, record a test cost
             test_metrics = trainer.test(
                 reader=test_reader, feed_order=feed_order)
 
@@ -296,9 +296,7 @@ batch_size = 10
 tensor_x = numpy.random.uniform(0, 10, [batch_size, 13]).astype("float32")
 
 results = inferencer.infer({'x': tensor_x})
-print("infer results: (House Price)")
-for k in range(0, batch_size-1):
-    print("%d. %f" % (k, results[0][k]))
+print("infer results: ", results[0])
 ```
 
 ## 总结
-- 
GitLab