Andreas Mueller amueller

## reassignment_strageties.ipynb

      
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                amueller
                / reassignment_strageties.ipynb
            
            
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              December 24, 2013 14:33
            
              
                Benchmarking differente minibatch reassignment stategies.
              
          
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## 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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## 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

## colors_curves.png

      
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                amueller
                / colors_curves.png
            
            
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              April 20, 2024 01:38
            
              
                random color palette using halton codes
              
          
## checkerboard.png

      
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                amueller
                / checkerboard.png
            
            
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              December 22, 2015 07:19
            
              
                explain what I mean by checker board
              
          
## graph.ad3
28
105
0.232269334
0.767730666
0.30221087
0.69778913
0.260731565
0.739268435
0.461288309
0.538711691

## km_test.py
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs
X, y = make_blobs()

KMeans(n_jobs=2).fit(X)
print("done")

## Diagram1.dia

      
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                amueller
                / Diagram1.dia
            
            
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              August 18, 2022 05:03
            
              
                Machine learning cheat sheet diagram svg and dia file
              
          
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## msrc_svm.py
import os
from glob import glob

import numpy as np
import matplotlib.pyplot as plt

from sklearn.svm import LinearSVC
from sklearn.metrics import accuracy_score, confusion_matrix

## regressions.txt
======================================================================
FAIL: Check that oob prediction is as acurate as
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/home/andy/sklearn_tests/sklearn/ensemble/tests/test_forest.py", line 198, in test_oob_score_classification
    assert_almost_equal(training_score, clf.oob_score_)
  File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 468, in assert_almost_equal
    raise AssertionError(msg)
	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
	28
	105
	0.232269334
	0.767730666
	0.30221087
	0.69778913
	0.260731565
	0.739268435
	0.461288309
	0.538711691
	from sklearn.cluster import KMeans
	from sklearn.datasets import make_blobs
	X, y = make_blobs()

	KMeans(n_jobs=2).fit(X)
	print("done")
	import os
	from glob import glob

	import numpy as np
	import matplotlib.pyplot as plt

	from sklearn.svm import LinearSVC
	from sklearn.metrics import accuracy_score, confusion_matrix
	======================================================================
	FAIL: Check that oob prediction is as acurate as
	----------------------------------------------------------------------
	Traceback (most recent call last):
	File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
	self.test(*self.arg)
	File "/home/andy/sklearn_tests/sklearn/ensemble/tests/test_forest.py", line 198, in test_oob_score_classification
	assert_almost_equal(training_score, clf.oob_score_)
	File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 468, in assert_almost_equal
	raise AssertionError(msg)