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notebooks/Tutorial.ipynb

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{
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"cells": [
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"cell_type": "markdown",
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"metadata": {
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"<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
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"<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Process-Data\" data-toc-modified-id=\"Process-Data-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Process Data</a></span></li><li><span><a href=\"#Pre-Process-Data-For-Deep-Learning\" data-toc-modified-id=\"Pre-Process-Data-For-Deep-Learning-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Pre-Process Data For Deep Learning</a></span><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><span><a href=\"#Look-at-one-example-of-processed-issue-bodies\" data-toc-modified-id=\"Look-at-one-example-of-processed-issue-bodies-2.0.0.1\"><span class=\"toc-item-num\">2.0.0.1&nbsp;&nbsp;</span>Look at one example of processed issue bodies</a></span></li><li><span><a href=\"#Look-at-one-example-of-processed-issue-titles\" data-toc-modified-id=\"Look-at-one-example-of-processed-issue-titles-2.0.0.2\"><span class=\"toc-item-num\">2.0.0.2&nbsp;&nbsp;</span>Look at one example of processed issue titles</a></span></li></ul></li></ul></li></ul></li><li><span><a href=\"#Define-Model-Architecture\" data-toc-modified-id=\"Define-Model-Architecture-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Define Model Architecture</a></span><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><span><a href=\"#Load-the-data-from-disk-into-variables\" data-toc-modified-id=\"Load-the-data-from-disk-into-variables-3.0.1\"><span class=\"toc-item-num\">3.0.1&nbsp;&nbsp;</span>Load the data from disk into variables</a></span></li><li><span><a href=\"#Define-Model-Architecture\" data-toc-modified-id=\"Define-Model-Architecture-3.0.2\"><span class=\"toc-item-num\">3.0.2&nbsp;&nbsp;</span>Define Model Architecture</a></span></li></ul></li></ul></li><li><span><a href=\"#Train-Model\" data-toc-modified-id=\"Train-Model-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Train Model</a></span></li><li><span><a href=\"#See-Results-On-Holdout-Set\" data-toc-modified-id=\"See-Results-On-Holdout-Set-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>See Results On Holdout Set</a></span></li><li><span><a href=\"#Feature-Extraction-Demo\" data-toc-modified-id=\"Feature-Extraction-Demo-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>Feature Extraction Demo</a></span><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><span><a href=\"#Example-1:-Issues-Installing-Python-Packages\" data-toc-modified-id=\"Example-1:-Issues-Installing-Python-Packages-6.0.1\"><span class=\"toc-item-num\">6.0.1&nbsp;&nbsp;</span>Example 1: Issues Installing Python Packages</a></span></li><li><span><a href=\"#Example-2:--Issues-asking-for-feature-improvements\" data-toc-modified-id=\"Example-2:--Issues-asking-for-feature-improvements-6.0.2\"><span class=\"toc-item-num\">6.0.2&nbsp;&nbsp;</span>Example 2: Issues asking for feature improvements</a></span></li></ul></li></ul></li></ul></div>"
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"cell_type": "markdown",
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"metadata": {},
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"## 1. Process Data"
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"# Process Data"
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"cell_type": "markdown",
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"# 2. Pre-Process Data For Deep Learning\n",
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"# Pre-Process Data For Deep Learning\n",
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"\n",
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"See [this repo](https://github.com/hamelsmu/ktext) for documentation on the ktext package"
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"cell_type": "markdown",
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"metadata": {},
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"# 3. Define Model Architecture"
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"# Define Model Architecture"
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"cell_type": "markdown",
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"# 4. Train Model"
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"# Train Model"
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"cell_type": "markdown",
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"# 5. See Results On Holdout Set"
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"# See Results On Holdout Set"
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"cell_type": "markdown",
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"metadata": {},
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"# 6. Feature Extraction Demo"
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"# Feature Extraction Demo"
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"pygments_lexer": "ipython3",
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"version": "3.6.2"
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