update

notebooks/Quick Start 4 - Step By Step Alpha Modeling.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -90,7 +90,7 @@
       "2     6  0.4970\n",
       "3     8  0.0592\n",
       "4     9  0.0612\n",
-      "Wall time: 150 ms\n"
+      "Wall time: 508 ms\n"
      ]
     }
    ],
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -130,7 +130,7 @@
       "2     6           房地产\n",
       "3     8          机械设备\n",
       "4     9            综合\n",
-      "Wall time: 140 ms\n"
+      "Wall time: 156 ms\n"
      ]
     }
    ],
@@ -158,14 +158,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Wall time: 413 ms\n"
+      "   code  index_weight\n",
+      "0     1       0.00649\n",
+      "1     2       0.00934\n",
+      "2     6       0.00039\n",
+      "3     8       0.00071\n",
+      "4     9       0.00075\n",
+      "Wall time: 154 ms\n"
      ]
     }
    ],
@@ -185,7 +191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -226,7 +232,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -239,7 +245,7 @@
       "2     6           -0.201598\n",
       "3     8           -0.396290\n",
       "4     9           -0.168950\n",
-      "Wall time: 2.96 ms\n"
+      "Wall time: 389 ms\n"
      ]
     }
    ],
@@ -267,7 +273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -294,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -327,7 +333,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -344,16 +350,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x193c4445128>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x242bf2b8470>"
       ]
      },
-     "execution_count": 158,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -383,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -392,7 +398,7 @@
        "(-0.02, 0.025)"
       ]
      },
-     "execution_count": 139,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },