kcarnold

This is a simple implementation of MDS. Dragging an item constrains it; double-clicking removes the constraint. The cost is shown in the top left.

The data is eurodist from R.

kcarnold

Compare colors by hue, saturation, or lightness. The sliders adjust the weights. It seems like the main effect is whether the weight is 0 or not.

The embedding is simply links to the 5 nearest neighbors, according to that metric.

kcarnold

This is a simple demo of affinity propagation. Drag the slider to adjust the 'preference' or self-affinity level.

References:

• Frey, B. and D. Dueck. Clustering by Passing Messages Between Data Points. Science, 2007.
• http://scikit-learn.org/stable/modules/clustering.html#affinity-propagation
• I looked at implementations in Julia and Python while writing this, but it was simpler to just follow the paper.

kcarnold

import numpy as np


class IncrementalMoments(object):
    '''Knuth's incremental mean and variance computation, applied elementwise.'''
    def __init__(self, shape, initial_items=[]):
        self.n = 0
        self.mean = np.zeros(shape)
        self.m2 = np.zeros(shape)
        self.update_seq(initial_items)

kcarnold

# https://black.readthedocs.io/en/stable/
import json
import black

import re
magic_re = re.compile(r'^%', flags=re.MULTILINE)
ipymagic = '##IpyMagic##'

filename = 'notebook.ipynb'

kcarnold

on run {input, parameters}
	set PDFs to input
	set msubject to "to print: "
	repeat with aFile in PDFs
		tell application "Finder"
			set filename to ((name of aFile) as string)
		end tell
		set msubject to msubject & filename & ","
	end repeat
	tell application "Microsoft Outlook"

kcarnold

kcarnold

class VecPile:
    """An attribute-accesed collection that asserts that all of its elements have the same length.

    Useful for keeping several collections together, such as vectors with labels, or several different representations of the same data."""

    def __init__(self, **kw):
        for k, v in kw.items():
            setattr(self, k, v)

    @staticmethod

kcarnold

print(
  ', '.join(
    sorted(
      subprocess.check_output('pbpaste').decode('utf-8').split('\n'),
      key=lambda name: name.split()[-1])
  )
)

kcarnold

import sched
import time
import asyncio
import datetime

start_time = time.time()

def tick(a='default'):
    print("From tick", time.time() - start_time, a)