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October 1, 2019 17:49
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Machine learning with `scikit-learn`\n", | |
"\n", | |
"#### Brian McFee\n", | |
"#### Music & Performing Arts Professions / Center for Data Science\n", | |
"#### https://bmcfee.github.io" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Today's plan\n", | |
"\n", | |
"- Preliminaries (math)\n", | |
"- Quick overview of what machine learning is\n", | |
"- Why python?\n", | |
"- Overview of `sklearn` functionality\n", | |
"- Coding examples: unsupervised and supervised\n", | |
"- Advanced topics: data encoding? pipelines?" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# About me\n", | |
"\n", | |
"- Assistant Prof. of Music Tech and Data Science at NYU\n", | |
"- I make algorithms and software to make sense of recorded audio\n", | |
" - OSS developer for audio / music analysis\n", | |
" - Occasional sklearn contributor\n", | |
"- Ph.D. in Computer Science, UCSD, 2012\n", | |
" - Machine learning algorithms for similarity and recommendation" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Preliminaries\n", | |
"\n", | |
"- I want to assume some familiarity with **multivariate** data\n", | |
"\n", | |
"- Familiarity with **probability** will also be helpful\n", | |
"\n", | |
"- **Software** we'll be using:\n", | |
" - `numpy`: numeric data in Python\n", | |
" - `sklearn`: machine learning algorithms\n", | |
" - `matplotlib`: visualization" | |
] | |
}, | |
{ | |
"attachments": { | |
"image.png": { | |
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" | |
} | |
}, | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Book plug\n", | |
"\n", | |
"\n", | |
"\n", | |
"Accompanying repository: https://github.com/amueller/introduction_to_ml_with_python" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Math notation\n", | |
"\n", | |
"- Vectors $\\displaystyle x = \\left[\\begin{array}{r}x(1)\\\\ x(2)\\\\ \\vdots\\\\ x(d)\\end{array}\\right] \\in \\mathbb{R}^d$\n", | |
"and matrices $\\displaystyle X = \\left[ \\begin{array}{r} x_1^\\mathsf{T} \\\\ x_2^\\mathsf{T} \\\\ \\vdots \\\\ x_N^\\mathsf{T}\\end{array}\\right] \\in \\mathbb{R}^{N \\times d}$\n", | |
"- Inner products: $\\displaystyle \\langle x_1, x_2\\rangle = \\sum_{i=1}^d x_1(i) \\cdot x_2(i)$\n", | |
"\n", | |
"- Norms: $\\displaystyle \\|x\\|_p = \\sqrt[p]{\\sum_{i=1}^d |x(i)|^p}$ (usually $p=2$, i.e., Euclidean norm)\n", | |
"\n", | |
"- Labels: $y \\in \\{0, 1\\}$" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Machine learning" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# What is machine learning?\n", | |
"\n", | |
"- Generally: automatically abstracting patterns from examples\n", | |
"\n", | |
"- How is ML not statistics`*`?\n", | |
" - Stats: describing data\n", | |
" - ML: taking actions based on data\n", | |
"\n", | |
"```\n", | |
"\n", | |
"```\n", | |
"\n", | |
"`*` *note: these distinctions are always fuzzy*" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Statistics\n", | |
"" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Machine learning\n", | |
"" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Unsupervised ML\n", | |
"\n", | |
"- Given example inputs $X = \\{x_1, x_2, ...\\}$\n", | |
"- Find some latent structure in the data\n", | |
"- Different from stats in that it doesn't (usually) assume a *generating* process\n", | |
"- *E.g.*, **clustering** or **dimensionality reduction**" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Supervised ML\n", | |
"- Given example inputs corresponding outputs $(x_i, y_i)$\n", | |
"- Find a function $h(x) \\approx y$\n", | |
"- E.g., **regression** or **classification**" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# ML Recipe\n", | |
"\n", | |
"- We want to pick $h$ to mnimize some notion of *error*\n", | |
" - e.g., what's the expected number of mistakes by our classifier?\n", | |
" - **Risk**: $\\displaystyle\\mathbb{E}_{(x, y)}[h(x) \\neq y]$\n", | |
" - Expectation is over all possible samples $(x, y)$ we could ever see\n", | |
"- We approximate this by using a *sample* of data\n", | |
" - $\\displaystyle\\mathbb{E_{(x, y)}}[h(x) \\neq y] \\approx \\frac{1}{N} \\sum_{i=1}^N [h(x_i) \\neq y_i]$: **Empirical Risk**" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# The general ML recipe\n", | |
"\n", | |
"1. Collect a sample of data \n", | |
"2. Pick a family of functions $H = \\{h_0, h_1, \\dots\\}$\n", | |
"3. Find the $h$ that performs best on your sample\n", | |
" - minimizes empirical risk, or something close to it\n", | |
"\n", | |
"*Intuition*: if $h$ does well on a large sample, it should **generalize** to the population" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Data representation\n", | |
"\n", | |
"- Almost all general ML methods assume inputs $x \\in \\mathbb{R}^d$\n", | |
" - and outputs $y \\in \\{0, 1\\}$\n", | |
"- Getting your data into that format is often the most time-consuming part\n", | |
"- Especially if you have missing observations\n", | |
"- Or finnicky types of data (images, sounds, text documents...)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Some common encoding schemes\n", | |
"\n", | |
"- Images (natively a grid of pixels)\n", | |
" - Convert to grayscale, normalize brightness to $[0, 1]$\n", | |
" - Scale to a fixed resolution (e.g., $28 \\times 28$)\n", | |
" - Unwrap columns $28 \\times 28 \\rightarrow 784$" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"source": [ | |
"- Text (natively arrays of bytes, variable length)\n", | |
" - Separate words (tokenize)\n", | |
" - Count the frequency of each word\n", | |
" - Associate each word in your dictionary to an integer \n", | |
" - (*the* -> 1, *quick* -> 2, *brown* -> 3)\n", | |
" - Represent document by a list of word counts (a.k.a. **bag of words**)\n", | |
" \n", | |
"Dimensionality can become **very large**! Beware." | |
] | |
}, | |
{ | |
"attachments": { | |
"image.png": { | |
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" | |
} | |
}, | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Why python?\n", | |
"\n", | |
"" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Python's strengths\n", | |
"\n", | |
"- Free and open source\n", | |
"- Huge package ecosystem\n", | |
" - both in general and for scientific processes\n", | |
"- Great for all kinds of data (text, graphs, images, signals, etc...)\n", | |
"- Fast to write and test" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Python's weaknesses\n", | |
"\n", | |
"- Sometimes not the fastest language\n", | |
" - Though the important parts are usually optimized\n", | |
"- Weakly typed, so ensuring correctness can be tricky" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Scikit-Learn\n", | |
"\n", | |
"https://scikit-learn.org" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# SKLearn\n", | |
"\n", | |
"- Provides standard implementations of **lots** of methods\n", | |
" - both supervised and unsupervised\n", | |
"- And lots of helper utilities that are no fun to write yourself!\n", | |
" - evaluation metrics, pre-processing, data splitting / validation, ..." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Key modules to know about\n", | |
"\n", | |
"| Module | Description | Supervised / Unsupervised |\n", | |
"|--------------------|----------------------|---------------------------|\n", | |
"| `sklearn.cluster` | **Clustering algorithms**| Unsupervised |\n", | |
"| `sklearn.datasets` | **Pre-packaged data** | Both |\n", | |
"| `sklearn.decomposition` | **Dimensionality reduction** | Unsupervised |\n", | |
"| `sklearn.ensemble` | Ensemble methods | Supervised |\n", | |
"| `sklearn.feature_extraction` | Encoding data as numbers | - |\n", | |
"| `sklearn.linear_model` | **Linear models** | Supervised |\n", | |
"| `sklearn.manifold` | Data embedding | Unsupervised |\n", | |
"| `sklearn.metrics` | **Evaluation** | Supervised |\n", | |
"| `sklearn.model_selection` | **Data splitting and hyper-parameters** | - |\n", | |
"| `sklearn.neighbors` | Nearest neighbors | Both |\n", | |
"| `sklearn.preprocessing` | Data encoding | Both |" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Programming examples\n", | |
"\n", | |
"#### Fun time!" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Pause for setup check\n", | |
"\n", | |
"- Did you get Anaconda installed?\n", | |
"- You should be able to run `jupyter notebook`\n", | |
"- Open a new notebook, and run the following commands:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"print('hello world')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"print(np.__version__)\n", | |
"\n", | |
"import sklearn\n", | |
"print(sklearn.__version__)\n", | |
"\n", | |
"import matplotlib as mpl\n", | |
"print(mpl.__version__)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Unsupervised learning example #1\n", | |
"### Principal components analysis (PCA)\n", | |
"\n", | |
"- Input: $X \\in \\mathbb{R}^{N \\times d}$ unlabeled vectors\n", | |
"- Goal: find a **low-dimensional** projection $X \\rightarrow XW$ that preserves as much **variance** as possible" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"source": [ | |
"- You can think of this one direction at a time:\n", | |
" - Initialize $\\hat{x}_i \\leftarrow x_i - \\frac{1}{N}\\sum_{i=1}^N x_i$ (center the data)\n", | |
" - For $k$ in $1, 2, \\dots, d$\n", | |
" - Project onto a line that maximizes the spread of $X$\n", | |
" - $\\displaystyle \\max_{\\|w_k\\|=1} \\frac{1}{N}\\sum_{i=1}^N \\langle \\hat{x}_i, w_k\\rangle^2$\n", | |
" - Subtract off the direction we just found: $\\hat{x}_i \\leftarrow \\hat{x}_i - \\hat{x}_i w_k w_k^\\mathsf{T}$\n", | |
"\n", | |
"First $K$ directions account for the most variance" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# PCA in sklearn" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Load in a pre-packaged dataset\n", | |
"import sklearn.datasets\n", | |
"\n", | |
"data = sklearn.datasets.load_iris()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"X = data['data']" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"type(X)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Load the sklearn module for PCA\n", | |
"import sklearn.decomposition" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Instantiate a PCA model\n", | |
"pca_model = sklearn.decomposition.PCA()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Fit the data\n", | |
"pca_model.fit(X)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"pca_model.components_" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# PCA output\n", | |
"Let's look at the output" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"import matplotlib.pyplot as plt\n", | |
"%matplotlib inline" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"plt.scatter(X[:, 0], X[:, 1], c=data['target'])\n", | |
"plt.xlabel(data['feature_names'][0])\n", | |
"plt.ylabel(data['feature_names'][1]);" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"X_proj = pca_model.transform(X)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"data['target']" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"plt.scatter(X_proj[:, 0], X_proj[:, 1], c=data['target'])\n", | |
"plt.xlabel('PCA #1')\n", | |
"plt.ylabel('PCA #2');" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# PCA recap\n", | |
"\n", | |
"- We found a projection that decorrelates data\n", | |
"- Prioritizes high-variance directions\n", | |
"- Can extend to new, unseen data! `pca_model.transform(X_new)`" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Unsupervised learning example #2\n", | |
"### k-Means clustering\n", | |
"\n", | |
"- $X$ are again $d$-dimensional vectors: $x_1, x_2, \\dots, x_N \\in \\mathbb{R}^d$\n", | |
"- Goal: describe the data by $k$ prototype vectors \n", | |
" - $\\mu_1, \\mu_2, ..., \\mu_k$\n", | |
"- Idea: associate each $x_i$ with its nearest $\\mu_j$" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# k-Means\n", | |
"\n", | |
"- What's the best $h$?\n", | |
"- The one that minimizes the average (squared) distance to nearest prototype\n", | |
"\n", | |
"- Objective:\n", | |
"$\\displaystyle\\min_{\\{\\mu_i\\}} \\frac{1}{N} \\sum_{i=1}^N \\min_j \\|x_i - \\mu_j\\|^2$" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"import sklearn.cluster" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Make a Kmeans model with 2 clusters\n", | |
"kmeans_model = sklearn.cluster.KMeans(n_clusters=2, random_state=5)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# And fit the data\n", | |
"kmeans_model.fit(X)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"kmeans_model.cluster_centers_" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Now we can use the predict method to get the cluster assignments out\n", | |
"clusters = kmeans_model.predict(X)\n", | |
"clusters" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Plotting the results" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# We can re-use our PCA from before to show the cluster assignments\n", | |
"plt.scatter(X_proj[:, 0], X_proj[:, 1], c=clusters)\n", | |
"\n", | |
"# And the cluster centroids themselves!\n", | |
"centroids_proj = pca_model.transform(kmeans_model.cluster_centers_)\n", | |
"\n", | |
"plt.scatter(centroids_proj[:, 0], centroids_proj[:, 1],\n", | |
" marker='x', linewidth=10, s=100, c='r')\n", | |
"\n", | |
"plt.xlabel('PCA #1')\n", | |
"plt.ylabel('PCA #2');" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# What did we just do?\n", | |
"\n", | |
"1. Fit a k-means clustering model to the data\n", | |
"2. Visualized the resulting cluster assignments" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# What more could we do?\n", | |
"\n", | |
"1. Deal with feature scaling\n", | |
" - what if one dimension is way bigger than the others?\n", | |
"2. Deal with big data\n", | |
" - what if instead of 150 examples, we had 150000?\n", | |
"3. How to choose the number of clusters?\n", | |
" - more clusters will always explain the data better" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Supervised learning" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Linear models\n", | |
"\n", | |
"- Application: binary classification $y \\in \\{0, 1\\}$\n", | |
"- Idea: find a vector $w \\in \\mathbb{R}^d$ that has\n", | |
" - *large* similarity $\\langle w, x_i\\rangle$ when $y_i = 1$\n", | |
" - *small* similarity $\\langle w, x_i\\rangle$ when $y_i = 0$\n", | |
"- Bias term $b$ compensates for sample imbalance " | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Logistic regression\n", | |
"\n", | |
"- Probabilistic linear model:\n", | |
"\n", | |
" $\\quad P[y=1|x] = e^{\\langle w, x\\rangle + b} / (1 + e^{\\langle w, x\\rangle + b})$\n", | |
" \n", | |
" $\\quad P[y=0|x] = 1 - P[y=1|x]$\n", | |
" \n", | |
"- Objective: $\\displaystyle\\max_{w, b} \\frac{1}{N}\\sum_{i=1}^N \\log P[y=y_i | x_i]$\n", | |
" \n", | |
"\n", | |
"\n", | |
"At prediction time: positive if $P[y=1|x] \\geq 1/2$" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# WAIT\n", | |
"\n", | |
"#### Let's talk about validation first..." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Model validation\n", | |
"\n", | |
"- Remember why we're fitting classifiers\n", | |
"- We want to produce a model that generalizes to the population\n", | |
"- If we use all of our data to fit the model, how can we know if it will generalize?" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Train, Validation, Test\n", | |
"\n", | |
"- In supervised learning, we often think of 3 kinds of data\n", | |
"\n", | |
"- Training: what you use to *fit* the model\n", | |
"- Testing: what you use to *evaluate* your model\n", | |
" - i.e., the numbers you report" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"source": [ | |
"- Validation:\n", | |
" - A special kind of training data\n", | |
" - Used to estimate the testing performance **without looking** at the test data\n", | |
" \n", | |
"- This is useful when you need to **compare models**\n", | |
" - e.g., different choices of some specific parameter setting\n", | |
" - or different kinds of classifiers" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# The good news...\n", | |
"\n", | |
"- `sklearn` makes validation easy!\n", | |
"- `sklearn.model_selection` provides several methods of partitioning your data cleanly\n", | |
"- Use them! Do not write your own data partitioning code!" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Okay, let's see how to use it" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"import sklearn.model_selection\n", | |
"import numpy as np" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Let's pick a different data set\n", | |
"X, Y = sklearn.datasets.load_breast_cancer(return_X_y=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"X.shape, Y.shape" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# What are the classes?\n", | |
"np.unique(Y)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Let's partition the data into train-test" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# We'll hold out a random 20% of the data for testing\n", | |
"# Fixing the random_state means we get the same data every time we run this\n", | |
"# Useful for debugging / replicability!\n", | |
"test_splitter = sklearn.model_selection.ShuffleSplit(n_splits=1, test_size=0.2,\n", | |
" random_state=20181107)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Get the \"next\" split of the data\n", | |
"train_index, test_index = next(test_splitter.split(X))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"test_index" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# And partition the data" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"X_train = X[train_index]\n", | |
"X_test = X[test_index]\n", | |
"Y_train = Y[train_index]\n", | |
"Y_test = Y[test_index]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"X_train.shape, Y_train.shape, X_test.shape, Y_test.shape" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Now let's make a 20% validation split\n", | |
"val_splitter = sklearn.model_selection.ShuffleSplit(n_splits=1, test_size=0.2,\n", | |
" random_state=20191002)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"train_index_v, val_index = next(val_splitter.split(X_train))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"X_val = X_train[val_index]\n", | |
"Y_val = Y_train[val_index]\n", | |
"X_train = X_train[train_index_v]\n", | |
"Y_train = Y_train[train_index_v]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"X_train.shape, Y_train.shape, X_val.shape, Y_val.shape, X_test.shape, Y_test.shape" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# Now we can fit a model!" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"import sklearn.linear_model" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"model = sklearn.linear_model.LogisticRegression()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"model.fit(X_train, Y_train)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"model.predict_proba(X_train)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"source": [ | |
"# How did we do?\n", | |
"\n", | |
"| Metric | Description |\n", | |
"|------------|--------------------------|\n", | |
"| Accuracy | % of correct predictions |\n", | |
"| Precision | % of correct positive predictions |\n", | |
"| Recall |% of positives correctly predicted |\n", | |
"| F1 | harmonic mean of P and R |\n", | |
"\n", | |
"- `sklearn.metrics` to the rescue!" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"import sklearn.metrics" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "fragment" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Training set\n", | |
"print(sklearn.metrics.classification_report(Y_train, model.predict(X_train)))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"slideshow": { | |
"slide_type": "subslide" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# Validation set\n", | |
"print(sklearn.metrics.classification_report(Y_val, model.predict(X_val)))" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "slide" | |
} | |
}, | |
"source": [ | |
"# Where to next?" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"slideshow": { | |
"slide_type": "-" | |
} | |
}, | |
"source": [ | |
"- Endless parameters to tune!\n", | |
" - Regularization penalties?\n", | |
"- Dealing with class imbalance?\n", | |
" - Esp. when partitioning!\n", | |
"- Non-numeric features?\n", | |
"- Pre-processing?\n", | |
"- Multiple outputs?\n", | |
"- Other types of classifiers?\n", | |
" - Support vector machines\n", | |
" - Random forests" | |
] | |
}, | |
{ | |
"attachments": { | |
"image.png": { |
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