黄金价格预测 by guojiahuiEmily · Pull Request #970 · PaddlePaddle/book

guojiahuiEmily · 2021-04-25T08:36:50Z

郭佳慧的pr

TCChenlong

1、项目很好，但是有些描述适合放在社区里，不适合放在官网的案例集中
2、注意下文章中的人称，建议使用第二人称，即”你“，照顾读者的感受
3、代码的部分可以适当补充一些关键点的注释
感谢~~

TCChenlong · 2021-04-26T08:00:47Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "collapsed": false
+   },
+   "source": [
+    "## 标题：**使用PaddlePaddle进行黄金预测**\n",


## 标题：使用PaddlePaddle进行黄金预测 -> ## 使用PaddlePaddle进行黄金价格预测

TCChenlong · 2021-04-26T08:02:19Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "\n",
+    "# 前言\n",
+    "\n",
+    "如果能预测黄金价格走势曲线，就可以在炒黄金时赚钱。\n",


因为我们这是一个官网的项目，最好别涉及到”赚钱“等，可能会有风险，需要避免这类的描述~

TCChenlong · 2021-04-26T08:02:50Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "\n",
+    "国内黄金价格和国际黄金价格曲线基本一致。\n",
+    "\n",
+    "# 本模型效果图（亮点）\n",


bilibili官网应该是不支持的..

TCChenlong · 2021-04-26T08:03:55Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "这里是bilibili项目展示\n",
+    "<iframe style=\"width:98%;height: 450px;\" src=\"//player.bilibili.com/player.html?bvid=BV1Ef4y1s7aF&page=1\" scrolling=\"no\" border=\"0\" frameborder=\"no\" framespacing=\"0\" allowfullscreen=\"true\"> </iframe>\n",
+    "\n",
+    "CSDN：\n",


CSDN的链接最好也别放哈~

TCChenlong · 2021-04-26T08:05:04Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "![](https://ai-studio-static-online.cdn.bcebos.com/fa98f86108af4edb928dd5fe67b0c359b55258ac05334b458bf3fab56209b69e)\n",
+    "\n",
+    "# 目标\n",
+    "只需预测未来黄金价格曲线图，因为只需知道价格是上升还是下降，就可以决定现在是买入、卖出、还是持仓。\n",


涉及到一些”买入、卖出、持仓“的操作，也最好别讲哈

TCChenlong · 2021-04-26T08:05:46Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "只需预测未来黄金价格曲线图，因为只需知道价格是上升还是下降，就可以决定现在是买入、卖出、还是持仓。\n",
+    "不用将价格预测准确，只需要将趋势图预测准确就可以。\n",
+    "\n",
+    "# 个人方案\n",


个人方案和分享成绩的部分应该也都可以删除

TCChenlong · 2021-04-26T08:07:05Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+   },
+   "source": [
+    "# 一、灵感来源\n",
+    "   大家在炒黄金的时候能否翻盘或收获满满，靠的是对未来的预测。只要你能在现在预测到未来黄金的涨和跌，就可以应顺趋势进行买和抛的选择。因为无法预测，许多人判断不好，没法抓住最好时机。本模型就可以为大家提供黄金预测功能，让大家能顺利翻盘。\n",


需要换一个说法哈~

TCChenlong · 2021-04-26T08:08:59Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "collapsed": false
+   },
+   "source": [
+    "## 八、给其他选手学习飞桨的建议\n",


这个也可以删除哈~

TCChenlong · 2021-04-26T08:09:18Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "最后的最后，我再给其他选手学习飞桨的一些建议；\n",
+    "在飞桨中还有许多新颖的项目大家一起来探索吧！\n",
+    "\n",
+    "## 九 参考资料\n",


这个只有文字要不也删除了吧？

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

TCChenlong · 2021-05-13T11:01:54Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "collapsed": false
+   },
+   "source": [
+    "## 2、数据\n",


这里需要给一个数据集的下载链接，有些用户可能不在AI Studio平台，可能无法获取数据。

已增加数据链接

ZhangHandi · 2021-05-31T06:11:11Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+    "[https://github.com/guojiahuiEmily/predictgoldprice/blob/main/predictgold.ipynb](https://github.com/guojiahuiEmily/predictgoldprice/blob/main/predictgold.ipynb)\n",
+    "\n",
+    "\n",
+    "# 分享成绩\n",


个人方案和分享成绩部分与案例不相关，可以删除

ZhangHandi · 2021-05-31T06:19:19Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+   "source": [
+    "# 二、模型应用\n",
+    "\n",
+    "# 时间卷积网络（TCN，Temporal Convolutional Networks）\n",


网络讲解部分可以再详细一些

ZhangHandi · 2021-05-31T06:20:28Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+   "source": [
+    "## 3、数据预览\n",
+    "\n",
+    "数据集中包含了国际每日黄金价格，单位：美元。"


数据介绍可以再详细一点，比如共多少条数据，数据对应的时间段和价格区间等

ZhangHandi · 2021-05-31T06:22:32Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+   },
+   "outputs": [],
+   "source": [
+    "# print(f\"bef train_data:{train_data[0]}\")\n",


写在评论部分的代码，如不需要可以删除，可以再增加些代码注释

ZhangHandi · 2021-05-31T06:23:42Z

paddle2.0_docs/predict_gold_price/predict_gold_price.ipynb

+   "outputs": [
+    {
+     "data": {
+      "image/png": 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


代码冗余部分可以删除

CLAassistant · 2023-03-01T10:30:23Z

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环境价格预测

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TCChenlong reviewed Apr 26, 2021

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按评审意见进行修改

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TCChenlong reviewed May 13, 2021

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ZhangHandi reviewed May 31, 2021

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guojiahuiEmily commented Apr 25, 2021

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CLAassistant commented Mar 1, 2023 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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CLAassistant commented Mar 1, 2023 •

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