Andreas Mueller amueller

## graph.ad3
28
105
0.232269334
0.767730666
0.30221087
0.69778913
0.260731565
0.739268435
0.461288309
0.538711691

## checkerboard.png

      
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                amueller
                / checkerboard.png
            
            
              Last active
              December 22, 2015 07:19
            
              
                explain what I mean by checker board
              
          
## colors_curves.png

      
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              3 stars
            
          
                amueller
                / colors_curves.png
            
            
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              April 20, 2024 01:38
            
              
                random color palette using halton codes
              
          
## bcfw_dual_test.py
import numpy as np
#from sklearn.datasets import fetch_mldata
from sklearn.datasets import load_digits

from pystruct.models import MultiClassClf
from pystruct.learners import FrankWolfeSSVM, SubgradientSSVM, NSlackSSVM, OneSlackSSVM
from pystruct.utils import AnalysisLogger

from sklearn.utils import shuffle

## msrc_blog.ipynb

      
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                amueller
                / msrc_blog.ipynb
            
            
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              October 25, 2016 07:04
            
              
                ipython notebook for msrc segmentation tutorial
              
          
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## reassignment_strageties.ipynb

      
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                amueller
                / reassignment_strageties.ipynb
            
            
              Created
              December 24, 2013 14:33
            
              
                Benchmarking differente minibatch reassignment stategies.
              
          
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## t-shirt analyzer.ipynb

      
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                amueller
                / t-shirt analyzer.ipynb
            
            
              Created
              December 1, 2014 15:43
            
          
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## shuffle_once.ipynb

      
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                amueller
                / shuffle_once.ipynb
            
            
              Created
              December 11, 2014 18:40
            
              
                Shuffle once benchmarks
              
          
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## scipy_interpolation_weirdness.ipnb
{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

## scipy_interpolation_weirdness.ipnb
{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
	28
	105
	0.232269334
	0.767730666
	0.30221087
	0.69778913
	0.260731565
	0.739268435
	0.461288309
	0.538711691
	import numpy as np
	#from sklearn.datasets import fetch_mldata
	from sklearn.datasets import load_digits

	from pystruct.models import MultiClassClf
	from pystruct.learners import FrankWolfeSSVM, SubgradientSSVM, NSlackSSVM, OneSlackSSVM
	from pystruct.utils import AnalysisLogger

	from sklearn.utils import shuffle
	{
	"metadata": {
	"name": ""
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{