From faf2309accff2d3ab44460fe110e5c2707b4133e Mon Sep 17 00:00:00 2001
From: Jen Looper <jen.looper@gmail.com>
Date: Tue, 15 Jun 2021 18:06:14 -0400
Subject: [PATCH] applied content

---
 .../4-Applied/solution/index.html             |  89 ++++++++++++++++--
 .../4-Applied/solution/model.onnx             | Bin 2204825 -> 2266266 bytes
 .../4-Applied/solution/notebook.ipynb         |  50 +++++-----
 3 files changed, 104 insertions(+), 35 deletions(-)
diff --git a/4-Classification/4-Applied/solution/index.html b/4-Classification/4-Applied/solution/index.html
index 99d200246..a229e7541 100644
--- a/4-Classification/4-Applied/solution/index.html
+++ b/4-Classification/4-Applied/solution/index.html
@@ -1,36 +1,105 @@
 <!DOCTYPE html>
 <html>
     <header>
-        <title>ONNX Runtime JavaScript examples: Quick Start - Web (using script tag)</title>
+        <title>Recipe Matcher</title>
     </header>
     <body>
+        <h1>Check your refrigerator. What can you create?</h1>
+        <div id="wrapper">
+            <div class="boxCont">
+                <input type="checkbox" value="4" class="checkbox">
+                <label>apple</label>
+            </div>
+        
+            <div class="boxCont">
+                <input type="checkbox" value="247" class="checkbox">
+                <label>pear</label>
+            </div>
+        
+            <div class="boxCont">
+                <input type="checkbox" value="77" class="checkbox">
+                <label>cherry</label>
+            </div>
+
+            <div class="boxCont">
+                <input type="checkbox" value="126" class="checkbox">
+                <label>fenugreek</label>
+            </div>
+
+            <div class="boxCont">
+                <input type="checkbox" value="302" class="checkbox">
+                <label>sake</label>
+            </div>
+
+            <div class="boxCont">
+                <input type="checkbox" value="327" class="checkbox">
+                <label>soy sauce</label>
+            </div>
+
+            <div class="boxCont">
+                <input type="checkbox" value="112" class="checkbox">
+                <label>cumin</label>
+            </div>
+        </div>
+
+            <button onClick="startInference()">What kind of cuisine can you make?</button>
+       
         <!-- import ONNXRuntime Web from CDN -->
-        <!--script src="./dist/ort.min.js"></script-->
         <script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.8.0-dev.20210608.0/dist/ort.min.js"></script>
         <script>
+            const ingredients = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+            
+            const checks = [].slice.call(document.querySelectorAll('.checkbox'));
+
             // use an async context to call onnxruntime functions.
-            async function main() {
+            function init() {
+                
+                checks.forEach(function (checkbox, index) {
+                    checkbox.onchange = function () {
+                        if (this.checked) {
+                            var index = checkbox.value;
+
+                            if (index !== -1) {
+                                ingredients[index] = 1;
+                            }
+                            console.log(ingredients)
+                        }
+                        else {
+                            var index = checkbox.value;
+
+                            if (index !== -1) {
+                                ingredients[index] = 0;
+                            }
+                            console.log(ingredients)
+                        }
+                    }
+                })
+            }
+
+            async function startInference() {
+
                 try {
                     // create a new session and load the specific model.
                     //
-                    const session = await ort.InferenceSession.create('./model.onnx');
+                    
+                    const session = await ort.InferenceSession.create('./model2.onnx');
 
-                    const input = new ort.Tensor(new Float32Array([5, 10, 15, 20, 25, 30, 23, 35, 50, 200]), [1, 10]);
+                    const input = new ort.Tensor(new Float32Array(ingredients), [1, 380]);
                     const feeds = { float_input: input };
 
                     // feed inputs and run
                     const results = await session.run(feeds);
 
                     // read from results
-                    const output = JSON.stringify(results);
-                    document.write(`data of result tensor 'c': ${output}`);
+                    alert('You can enjoy ' + results.label.data[0] + ' cuisine today!')
 
                 } catch (e) {
-                    document.write(`failed to inference ONNX model: ${e}.`);
+                    console.log(`failed to inference ONNX model: ${e}.`);
                 }
+                
             }
-
-            main();
+    init();
+           
         </script>
     </body>
 </html>
diff --git a/4-Classification/4-Applied/solution/model.onnx b/4-Classification/4-Applied/solution/model.onnx
index 591e0c2ba839ecb969887763513fc924550e9ed8..ee542f4db6bb4ca469b5cde76be239215c364f6d 100644
GIT binary patch
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diff --git a/4-Classification/4-Applied/solution/notebook.ipynb b/4-Classification/4-Applied/solution/notebook.ipynb
index b619dfbfc..14b1a1275 100644
--- a/4-Classification/4-Applied/solution/notebook.ipynb
+++ b/4-Classification/4-Applied/solution/notebook.ipynb
@@ -31,7 +31,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -39,17 +39,17 @@
      "name": "stdout",
      "text": [
       "Requirement already satisfied: skl2onnx in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (1.8.0)\n",
-      "Requirement already satisfied: numpy>=1.15 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (1.19.2)\n",
-      "Requirement already satisfied: onnxconverter-common<1.9,>=1.6.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (1.8.1)\n",
       "Requirement already satisfied: protobuf in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (3.8.0)\n",
-      "Requirement already satisfied: scikit-learn>=0.19 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (0.24.2)\n",
-      "Requirement already satisfied: scipy>=1.0 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (1.4.1)\n",
+      "Requirement already satisfied: numpy>=1.15 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (1.19.2)\n",
       "Requirement already satisfied: six in /Users/jenlooper/Library/Python/3.7/lib/python/site-packages (from skl2onnx) (1.12.0)\n",
+      "Requirement already satisfied: scipy>=1.0 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (1.4.1)\n",
       "Requirement already satisfied: onnx>=1.2.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (1.9.0)\n",
+      "Requirement already satisfied: scikit-learn>=0.19 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (0.24.2)\n",
+      "Requirement already satisfied: onnxconverter-common<1.9,>=1.6.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from skl2onnx) (1.8.1)\n",
       "Requirement already satisfied: setuptools in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from protobuf->skl2onnx) (45.1.0)\n",
+      "Requirement already satisfied: typing-extensions>=3.6.2.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from onnx>=1.2.1->skl2onnx) (3.10.0.0)\n",
       "Requirement already satisfied: joblib>=0.11 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from scikit-learn>=0.19->skl2onnx) (0.16.0)\n",
       "Requirement already satisfied: threadpoolctl>=2.0.0 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from scikit-learn>=0.19->skl2onnx) (2.1.0)\n",
-      "Requirement already satisfied: typing-extensions>=3.6.2.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from onnx>=1.2.1->skl2onnx) (3.10.0.0)\n",
       "\u001b[33mWARNING: You are using pip version 20.2.3; however, version 21.1.2 is available.\n",
       "You should consider upgrading via the '/Library/Frameworks/Python.framework/Versions/3.7/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n",
       "Note: you may need to restart the kernel to use updated packages.\n"
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -70,9 +70,9 @@
      "name": "stdout",
      "text": [
       "Requirement already satisfied: onnxruntime in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (1.8.0)\n",
-      "Requirement already satisfied: flatbuffers in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from onnxruntime) (2.0)\n",
       "Requirement already satisfied: protobuf in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from onnxruntime) (3.8.0)\n",
       "Requirement already satisfied: numpy>=1.16.6 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from onnxruntime) (1.19.2)\n",
+      "Requirement already satisfied: flatbuffers in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from onnxruntime) (2.0)\n",
       "Requirement already satisfied: six>=1.9 in /Users/jenlooper/Library/Python/3.7/lib/python/site-packages (from protobuf->onnxruntime) (1.12.0)\n",
       "Requirement already satisfied: setuptools in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from protobuf->onnxruntime) (45.1.0)\n",
       "\u001b[33mWARNING: You are using pip version 20.2.3; however, version 21.1.2 is available.\n",
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -97,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -130,7 +130,7 @@
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>cuisine</th>\n      <th>almond</th>\n      <th>angelica</th>\n      <th>anise</th>\n      <th>anise_seed</th>\n      <th>apple</th>\n      <th>apple_brandy</th>\n      <th>apricot</th>\n      <th>armagnac</th>\n      <th>...</th>\n      <th>whiskey</th>\n      <th>white_bread</th>\n      <th>white_wine</th>\n      <th>whole_grain_wheat_flour</th>\n      <th>wine</th>\n      <th>wood</th>\n      <th>yam</th>\n      <th>yeast</th>\n      <th>yogurt</th>\n      <th>zucchini</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>indian</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 382 columns</p>\n</div>"
      },
      "metadata": {},
-     "execution_count": 28
+     "execution_count": 4
     }
    ],
    "source": [
@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -173,7 +173,7 @@
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>almond</th>\n      <th>angelica</th>\n      <th>anise</th>\n      <th>anise_seed</th>\n      <th>apple</th>\n      <th>apple_brandy</th>\n      <th>apricot</th>\n      <th>armagnac</th>\n      <th>artemisia</th>\n      <th>artichoke</th>\n      <th>...</th>\n      <th>whiskey</th>\n      <th>white_bread</th>\n      <th>white_wine</th>\n      <th>whole_grain_wheat_flour</th>\n      <th>wine</th>\n      <th>wood</th>\n      <th>yam</th>\n      <th>yeast</th>\n      <th>yogurt</th>\n      <th>zucchini</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 380 columns</p>\n</div>"
      },
      "metadata": {},
-     "execution_count": 29
+     "execution_count": 5
     }
    ],
    "source": [
@@ -183,7 +183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -200,7 +200,7 @@
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>cuisine</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>indian</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>indian</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>indian</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>indian</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>indian</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "metadata": {},
-     "execution_count": 30
+     "execution_count": 6
     }
    ],
    "source": [
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -222,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -231,7 +231,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -242,7 +242,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 33
+     "execution_count": 9
     }
    ],
    "source": [
@@ -252,7 +252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -261,14 +261,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "              precision    recall  f1-score   support\n\n     chinese       0.67      0.68      0.67       243\n      indian       0.90      0.87      0.89       238\n    japanese       0.75      0.73      0.74       251\n      korean       0.84      0.74      0.79       242\n        thai       0.74      0.86      0.80       225\n\n    accuracy                           0.77      1199\n   macro avg       0.78      0.78      0.78      1199\nweighted avg       0.78      0.77      0.78      1199\n\n"
+      "              precision    recall  f1-score   support\n\n     chinese       0.67      0.70      0.69       232\n      indian       0.87      0.89      0.88       252\n    japanese       0.80      0.70      0.75       241\n      korean       0.83      0.82      0.83       228\n        thai       0.76      0.81      0.79       246\n\n    accuracy                           0.79      1199\n   macro avg       0.79      0.79      0.79      1199\nweighted avg       0.79      0.79      0.79      1199\n\n"
      ]
     }
    ],
@@ -278,17 +278,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
     "from skl2onnx import convert_sklearn\n",
     "from skl2onnx.common.data_types import FloatTensorType\n",
     "\n",
-    "initial_type = [('float_input', FloatTensorType([None, 10]))]\n",
+    "initial_type = [('float_input', FloatTensorType([None, 380]))]\n",
     "options = {id(model): {'nocl': True, 'zipmap': False}}\n",
     "onx = convert_sklearn(model, initial_types=initial_type,options=options)\n",
-    "with open(\"./model2.onnx\", \"wb\") as f:\n",
+    "with open(\"./model.onnx\", \"wb\") as f:\n",
     "    f.write(onx.SerializeToString())\n",
     "\n",
     "\n"

	Unnamed: 0	cuisine	almond	...	yogurt
0	0	indian	0	...	0
1	1	indian	1	...	0
2	2	indian	0	...	0
3	3	indian	0	...	0
4	4	indian	0	...	1
	almond	...	yogurt
0	0	...	0
1	1	...	0
2	0	...	0
3	0	...	0
4	0	...	1