This is a simple NLTK Python script which uses N-grams to construct phrases from a generative language model trained on the King James Bible.
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import warnings | |
import re | |
import itertools | |
from pelican.readers import MarkdownReader, EXTENSIONS | |
from pelican.utils import pelican_open | |
from pelican import signals | |
def split_args(argstring): |
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""" | |
Bayesian Generative Classifier | |
------------------------------ | |
""" | |
# Author: Jake Vanderplas <jakevdp@cs.washington.edu> | |
import numpy as np | |
from sklearn.neighbors.kde import KernelDensity | |
from sklearn.mixture import GMM | |
from sklearn.base import BaseEstimator, clone |
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<html> | |
<head> | |
<style> | |
.axis line, .axis path { | |
shape-rendering: crispEdges; | |
stroke: black; | |
stroke-width: 1; | |
fill: none; | |
} |
See the attached notebook in nbviewer
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import jinja2 | |
import numpy as np | |
import matplotlib | |
import matplotlib.pyplot as plt | |
from sklearn.datasets import load_iris | |
import mpld3 | |
from mpld3 import plugins, utils |
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/********************************************************************** | |
I've been working with javascript for a bit, and I miss my | |
Python-style namespaces and class inheritance. Here's a little | |
pattern I came up with that allows me to do things (kind of) | |
the way I wish I could within javascript. I'd be curious if any | |
experienced JS users have comments or critiques. Thanks! | |
Edit - also see the second version (which I think is more clean) | |
below. | |
**********************************************************************/ |
A simple example of two-way communication between IPython notebook and javascript, using a D3 widget.
View this notebook on nbviewer, but be aware that it won't work without being connected to an IPython kernel!
It's better to download the notebook itself and open it with IPython notebook.