diff --git a/02.01 基于搜索的问题求解.ipynb b/02.01 基于搜索的问题求解.ipynb index b919b5e..6cc6be0 100644 --- a/02.01 基于搜索的问题求解.ipynb +++ b/02.01 基于搜索的问题求解.ipynb @@ -410,13 +410,6 @@ "# 查看 dfs 的搜索过程\n", "h_graph.animation_search_tree('dfs')" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/02.02 决策树.ipynb b/02.02 决策树.ipynb index 233db67..7a3176b 100644 --- a/02.02 决策树.ipynb +++ b/02.02 决策树.ipynb @@ -124,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -141,177 +141,9 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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天气温度湿度是否有风是否前往游乐场
0晴>26>75否0
1晴<=26>75是0
2多云>26>75否1
3雨<=26>75否1
4雨<=26>75否1
5雨<=26<=75是0
6多云<=26<=75是1
7晴<=26>75否0
8晴<=26<=75否1
9雨<=26>75否1
10晴<=26<=75是1
11多云<=26>75是1
12多云>26<=75否1
13雨<=26>75是0
\n", - "
" - ], - "text/plain": [ - " 天气 温度 湿度 是否有风 是否前往游乐场\n", - "0 晴 >26 >75 否 0\n", - "1 晴 <=26 >75 是 0\n", - "2 多云 >26 >75 否 1\n", - "3 雨 <=26 >75 否 1\n", - "4 雨 <=26 >75 否 1\n", - "5 雨 <=26 <=75 是 0\n", - "6 多云 <=26 <=75 是 1\n", - "7 晴 <=26 >75 否 0\n", - "8 晴 <=26 <=75 否 1\n", - "9 雨 <=26 >75 否 1\n", - "10 晴 <=26 <=75 是 1\n", - "11 多云 <=26 >75 是 1\n", - "12 多云 >26 <=75 否 1\n", - "13 雨 <=26 >75 是 0" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# 原始数据\n", "datasets = [\n", @@ -890,9 +722,9 @@ "outputs": [], "source": [ "# 读取英文短文\n", - "en_essay = read_file('essay3_en.txt')\n", + "en_essay = read_file('essay1_en.txt')\n", "# 读取中文短文\n", - "ch_essay = read_file('essay3_ch.txt')\n" + "ch_essay = read_file('essay1_ch.txt')\n" ] }, { diff --git a/02.03 回归分析(学生版).ipynb b/02.03 回归分析(学生版).ipynb index 706c7d3..0f0afd1 100644 --- a/02.03 回归分析(学生版).ipynb +++ b/02.03 回归分析(学生版).ipynb @@ -59,6 +59,7 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", + "plt.rcParams['figure.dpi'] = 150\n", "\n", "x = np.array([1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005])\n", "y = np.array([325.68, 331.15, 338.69, 345.90, 354.19, 360.88, 369.48, 379.67])\n", diff --git a/02.03 回归分析.ipynb b/02.03 回归分析.ipynb index f9b23fd..78eaf07 100644 --- a/02.03 回归分析.ipynb +++ b/02.03 回归分析.ipynb @@ -59,6 +59,7 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", + "plt.rcParams['figure.dpi'] = 150\n", "\n", "x = np.array([1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005])\n", "y = np.array([325.68, 331.15, 338.69, 345.90, 354.19, 360.88, 369.48, 379.67])\n", @@ -511,13 +512,6 @@ "plt.plot(x_predict, z_predict, c='b')\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": {