pytorch起飞

Sklearn/sklearn-cookbook-zh/5.ipynb

@@ -0,0 +1,82 @@
+{
+ "metadata": {
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.0-final"
+  },
+  "orig_nbformat": 2,
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.8.0 64-bit",
+   "metadata": {
+    "interpreter": {
+     "hash": "38740d3277777e2cd7c6c2cc9d8addf5118fdf3f82b1b39231fd12aeac8aee8b"
+    }
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2,
+ "cells": [
+  {
+   "source": [
+    "## 5.1 K-fold交叉验证"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 创建数据集\n",
+    "N =1000\n",
+    "holdout = 200\n",
+    "from sklearn.datasets import make_regression\n",
+    "X,y = make_regression(1000,shuffle=True)\n",
+    "\n",
+    "# 分割数据集的第二种方法。\n",
+    "X_h,y_h = X[:holdout],y[:holdout]\n",
+    "X_t,y_t = X[holdout:],y[holdout:]\n",
+    "\n",
+    "# 方法的接口变了\n",
+    "from sklearn.model_selection import KFold\n",
+    "\n",
+    "kfold = KFold(n_splits=4)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "source": [
+    "## 5.8 回归模型评估"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "source": [
+    "## 5.9 特征选取"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "source": [
+    "## 5.11 使用joblib保存模型"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  }
+ ]
+}