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Upgrade notebooks to TensorFlow 1.0.0

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This commit is contained in:
Aurélien Geron
2017-02-17 11:51:26 +01:00
parent 146fde1127
commit d8176ec2cb
43 changed files with 3615 additions and 7542 deletions
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121
06_decision_trees.ipynb
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@@ -2,28 +2,40 @@
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"**Chapter 6 – Decision Trees**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"_This notebook contains all the sample code and solutions to the exercices in chapter 6._"
]
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Setup"
]
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"First, let's make sure this notebook works well in both python 2 and 3, import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures:"
]
@@ -32,7 +44,9 @@
"cell_type": "code",
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@@ -71,7 +85,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Training and visualizing"
]
@@ -80,7 +97,9 @@
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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},
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@@ -99,7 +118,9 @@
"cell_type": "code",
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"collapsed": true,
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@@ -117,7 +138,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
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@@ -164,7 +187,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Predicting classes and class probabilities"
]
@@ -173,7 +199,9 @@
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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@@ -184,7 +212,9 @@
"cell_type": "code",
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@@ -193,7 +223,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Sensitivity to training set details"
]
@@ -202,7 +235,9 @@
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
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@@ -213,7 +248,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
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@@ -229,7 +266,9 @@
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@@ -248,7 +287,9 @@
"cell_type": "code",
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"metadata": {
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@@ -276,7 +317,9 @@
"cell_type": "code",
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"metadata": {
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@@ -297,7 +340,9 @@
"cell_type": "code",
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@@ -326,16 +371,21 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Regression trees"
]
},
{
"cell_type": "code",
"execution_count": 145,
"execution_count": 13,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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@@ -389,9 +439,11 @@
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{
"cell_type": "code",
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"execution_count": 14,
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@@ -406,9 +458,11 @@
},
{
"cell_type": "code",
"execution_count": 144,
"execution_count": 15,
"metadata": {
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"deletable": true,
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@@ -446,7 +500,9 @@
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
"collapsed": true,
"deletable": true,
"editable": true
},
"source": [
"# Exercise solutions"
@@ -454,7 +510,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"**Coming soon**"
]
@@ -463,7 +522,9 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
"collapsed": true,
"deletable": true,
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@@ -485,7 +546,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.1"
"version": "3.5.2+"
},
"nav_menu": {
"height": "309px",