tutorial_for_developer initial

tutorials/fastnlp_1_minute_tutorial.ipynb

@@ -19,16 +19,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/yh/miniconda2/envs/python3/lib/python3.6/site-packages/tqdm/autonotebook/__init__.py:14: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
+      "  \" (e.g. in jupyter console)\", TqdmExperimentalWarning)\n"
+     ]
+    }
+   ],
    "source": [
+    "import sys\n",
+    "sys.path.append(\"../\")\n",
+    "\n",
     "from fastNLP import DataSet\n",
+    "\n",
     "# linux_path = \"../test/data_for_tests/tutorial_sample_dataset.csv\"\n",
-    "win_path = \"C:\\\\Users\\zyfeng\\Desktop\\FudanNLP\\\\fastNLP\\\\test\\\\data_for_tests\\\\tutorial_sample_dataset.csv\"\n",
+    "win_path = \"../test/data_for_tests/tutorial_sample_dataset.csv\"\n",
     "ds = DataSet.read_csv(win_path, headers=('raw_sentence', 'label'), sep='\\t')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'raw_sentence': this quiet , introspective and entertaining independent is worth seeking .,\n",
+       "'label': 4,\n",
+       "'label_seq': 4,\n",
+       "'words': ['this', 'quiet', ',', 'introspective', 'and', 'entertaining', 'independent', 'is', 'worth', 'seeking', '.']}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds[1]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -42,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,65 +94,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train size: "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "54"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Test size: "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "23"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "Train size:  54\n",
+      "Test size:  23\n"
      ]
     }
    ],
@@ -129,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,14 +163,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "training epochs started 2018-12-07 14:03:41"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "training epochs started 2018-12-07 14:03:41\n"
      ]
     },
     {
@@ -201,84 +180,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 1/3. Step:2/6. AccuracyMetric: acc=0.26087"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 2/3. Step:4/6. AccuracyMetric: acc=0.347826"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 3/3. Step:6/6. AccuracyMetric: acc=0.608696"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Train finished!"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "Epoch 1/3. Step:2/6. AccuracyMetric: acc=0.26087\n",
+      "Epoch 2/3. Step:4/6. AccuracyMetric: acc=0.347826\n",
+      "Epoch 3/3. Step:6/6. AccuracyMetric: acc=0.608696\n",
+      "Train finished!\n"
      ]
     }
    ],
@@ -311,23 +216,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
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  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }