deploy: b4f1a71

docs/回归/被动攻击算法.html

@@ -463,7 +463,7 @@ <h1>被动攻击算法<a class="headerlink" href="#id1" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>预测结果： [11.8500034  13.80000328]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>预测结果： [11.85000366 13.80000353]
 </pre></div>
 </div>
 </div>

docs/降维/LDA和QDA.html

@@ -680,7 +680,7 @@ <h2>LDA vs QDA<a class="headerlink" href="#lda-vs-qda" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2275/3074259613.py:16: MatplotlibDeprecationWarning: The register_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps.register(name)`` instead.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2289/3074259613.py:16: MatplotlibDeprecationWarning: The register_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps.register(name)`` instead.
   plt.cm.register_cmap(cmap=cmap)
 </pre></div>
 </div>

reports/docs/分类/决策树.err.log

@@ -0,0 +1,66 @@
+Traceback (most recent call last):
+  File "/home/runner/.local/lib/python3.10/site-packages/jupyter_cache/executors/utils.py", line 58, in single_nb_execution
+    executenb(
+  File "/home/runner/.local/lib/python3.10/site-packages/nbclient/client.py", line 1305, in execute
+    return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
+  File "/home/runner/.local/lib/python3.10/site-packages/jupyter_core/utils/__init__.py", line 172, in wrapped
+    return loop.run_until_complete(inner)
+  File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
+    return future.result()
+  File "/home/runner/.local/lib/python3.10/site-packages/nbclient/client.py", line 705, in async_execute
+    await self.async_execute_cell(
+  File "/home/runner/.local/lib/python3.10/site-packages/nbclient/client.py", line 1058, in async_execute_cell
+    await self._check_raise_for_error(cell, cell_index, exec_reply)
+  File "/home/runner/.local/lib/python3.10/site-packages/nbclient/client.py", line 914, in _check_raise_for_error
+    raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
+nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
+------------------
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.datasets import load_iris
+from sklearn.model_selection import train_test_split
+from sklearn.tree import export_graphviz
+import pydotplus
+import matplotlib.pyplot as plt
+
+# 加载数据
+data = load_iris()
+X = data.data
+y = data.target
+
+# 划分训练集和测试集
+X_train, X_test, y_train, _ = train_test_split(X, y, test_size=0.2, random_state=42)
+
+# 创建随机森林分类器
+model = RandomForestClassifier()
+
+# 训练模型
+model.fit(X_train, y_train)
+
+# 可视化决策树（第一棵树）
+estimator = model.estimators_[0]
+dot_data = export_graphviz(estimator, out_file=None, feature_names=data.feature_names,
+                           class_names=data.target_names, filled=True, rounded=True)
+graph = pydotplus.graph_from_dot_data(dot_data)
+
+# 保存为图像文件
+graph.write_png('random_forest_tree.png')
+
+# 使用matplotlib显示图像
+plt.figure(figsize=(10, 10))
+plt.imshow(plt.imread('random_forest_tree.png'))
+plt.axis('off')
+plt.show()
+------------------
+
+
+---------------------------------------------------------------------------
+ModuleNotFoundError                       Traceback (most recent call last)
+Cell In[3], line 5
+      3 from sklearn.model_selection import train_test_split
+      4 from sklearn.tree import export_graphviz
+----> 5 import pydotplus
+      6 import matplotlib.pyplot as plt
+      8 # 加载数据
+
+ModuleNotFoundError: No module named 'pydotplus'
+