From bc1f4b5b54475d0ce2fd59de41350ff5d285a2fa Mon Sep 17 00:00:00 2001
From: Fabian Pedregosa <fabian.pedregosa@inria.fr>
Date: Wed, 6 Jan 2010 08:59:00 +0000
Subject: [PATCH] Split pendigits into training and testing datasets, and
convert return value of load to the package conventions.
From: cdavid <cdavid@cb17146a-f446-4be1-a4f7-bd7c5bb65646>
git-svn-id: https://scikit-learn.svn.sourceforge.net/svnroot/scikit-learn/trunk@224 22fbfee3-77ab-4535-9bad-27d1bd3bc7d8
---
scikits/learn/datasets/pendigits/__init__.py | 4 +-
scikits/learn/datasets/pendigits/data.py | 81 +-
.../learn/datasets/pendigits/src/convert.py | 12 +-
.../datasets/pendigits/testing/__init__.py | 8 +
.../datasets/pendigits/testing/__init__.pyc | Bin 0 -> 344 bytes
.../learn/datasets/pendigits/testing/data.py | 99 +
.../learn/datasets/pendigits/testing/data.pyc | Bin 0 -> 1988 bytes
.../pendigits/testing/pendigits_tes.py | 3037 +++++++++++++++++
.../pendigits/testing/pendigits_tes.pyc | Bin 0 -> 195588 bytes
.../datasets/pendigits/training/__init__.py | 8 +
.../datasets/pendigits/training/__init__.pyc | Bin 0 -> 345 bytes
.../learn/datasets/pendigits/training/data.py | 97 +
.../datasets/pendigits/training/data.pyc | Bin 0 -> 2265 bytes
.../pendigits_tra.py} | 3037 -----------------
.../pendigits/training/pendigits_tra.pyc | Bin 0 -> 418408 bytes
15 files changed, 3281 insertions(+), 3102 deletions(-)
create mode 100644 scikits/learn/datasets/pendigits/testing/__init__.py
create mode 100644 scikits/learn/datasets/pendigits/testing/__init__.pyc
create mode 100644 scikits/learn/datasets/pendigits/testing/data.py
create mode 100644 scikits/learn/datasets/pendigits/testing/data.pyc
create mode 100644 scikits/learn/datasets/pendigits/testing/pendigits_tes.py
create mode 100644 scikits/learn/datasets/pendigits/testing/pendigits_tes.pyc
create mode 100644 scikits/learn/datasets/pendigits/training/__init__.py
create mode 100644 scikits/learn/datasets/pendigits/training/__init__.pyc
create mode 100644 scikits/learn/datasets/pendigits/training/data.py
create mode 100644 scikits/learn/datasets/pendigits/training/data.pyc
rename scikits/learn/datasets/pendigits/{pendigits.py => training/pendigits_tra.py} (68%)
create mode 100644 scikits/learn/datasets/pendigits/training/pendigits_tra.pyc
diff --git a/scikits/learn/datasets/pendigits/__init__.py b/scikits/learn/datasets/pendigits/__init__.py
index cc26d6812e..043d06079d 100644
--- a/scikits/learn/datasets/pendigits/__init__.py
+++ b/scikits/learn/datasets/pendigits/__init__.py
@@ -1,8 +1,8 @@
#! /usr/bin/env python
-# Last Change: Thu Jun 21 06:00 PM 2007 J
+# Last Change: Sun Jul 22 03:00 PM 2007 J
import data as _pendigit
__doc__ = _pendigit.DESCRSHORT
copyright = _pendigit.COPYRIGHT
source = _pendigit.SOURCE
-load = _pendigit.load
+import testing, training
diff --git a/scikits/learn/datasets/pendigits/data.py b/scikits/learn/datasets/pendigits/data.py
index 2f763020e1..db8f51364a 100644
--- a/scikits/learn/datasets/pendigits/data.py
+++ b/scikits/learn/datasets/pendigits/data.py
@@ -1,6 +1,6 @@
#! /usr/bin/env python
# -*- coding: utf-8 -*-
-# Last Change: Fri Jun 22 05:00 PM 2007 J
+# Last Change: Sun Jul 22 03:00 PM 2007 J
# The code and descriptive text is copyrighted and offered under the terms of
# the BSD License from the authors; see below. However, the actual dataset may
@@ -101,10 +101,25 @@ pressure level values are ignored. The raw data that we capture
from the tablet consist of integer values between 0 and 500
(tablet input box resolution).
-pendigits-orig contain original, unnormalized data. pendigits is the
-normalized and resampled version where all inputs are of the same
-length. Here because of speed or the digit, feature vectors may be of
-different lengths, e.g., '1' is shorter than '8'.
+In order to train and test our classifiers, we need to represent
+digits as constant length feature vectors. A commonly used technique
+leading to good results is resampling the ( x_t, y_t) points.
+Temporal resampling (points regularly spaced in time) or spatial
+resampling (points regularly spaced in arc length) can be used here.
+Raw point data are already regularly spaced in time but the distance
+between them is variable. Previous research showed that spatial
+resampling to obtain a constant number of regularly spaced points
+on the trajectory yields much better performance, because it provides
+a better alignment between points. Our resampling algorithm uses
+simple linear interpolation between pairs of points. The resampled
+digits are represented as a sequence of T points ( x_t, y_t )_{t=1}^T,
+regularly spaced in arc length, as opposed to the input sequence,
+which is regularly spaced in time.
+
+So, the input vector size is 2*T, two times the number of points
+resampled. We considered spatial resampling to T=8,12,16 points in our
+experiments and found that T=8 gave the best trade-off between
+accuracy and complexity.
"""
NOTE = """
@@ -127,65 +142,15 @@ pendigits.tra divides into
Number of Attributes
--------------------
-Input size depends on writing speed and time and is not fixed +1 class
-attribute
+16 (8 (x, y) coordinates)
For Each Attribute:
-------------------
-The data is in the UNIPEN format. See
-I. Guyon UNIPEN 1.0 Format Definition,
-ftp://ftp.cis.upenn.edu/pub/UNIPEN-pub/definition/unipen.def
-1994
+All input attributes are integers in the range 0..100.
Missing Attribute Values
------------------------
-Class Distribution
-------------------
-
- classes
- 0 1 2 3 4 5 6 7 8 9
-tra 384 390 392 370 391 375 351 375 363 357 Tot 3748
-cv 209 201 201 163 185 163 191 196 178 186 Tot 1873
-wdep 187 188 187 186 204 182 178 207 178 176 Tot 1873
-windep 363 364 364 336 364 335 336 364 336 336 Tot 3498
+None
"""
-
-def load():
- """load the actual data and returns them.
-
- :returns:
- data: dictionary.
- data['training'] and data['testing'] both are dictionaries which
- contains the following keys: x, y and class. x and y are the
- coordinates of the eight resampled points, and class is an integer
- between 0 and 9, indicating the number label.
-
- example
- -------
-
- Let's say you want to plot the first sample of the training set with
- matplotlib. You would do something like plot(data['training']['x'][0],
- data['training']['y'][0], '-')
- """
- import numpy
- from pendigits import training, testing
- assert len(training) == 7494
- assert len(testing) == 3498
-
- def raw_to_num(dt):
- coordinates = numpy.empty((len(dt), 16), numpy.int)
- digclass = numpy.empty(len(dt), dtype = numpy.int)
- for i in range(len(coordinates)):
- coordinates[i] = dt[i][:-1]
- digclass[i] = dt[i][-1]
- xcor = coordinates[:, ::2]
- ycor = coordinates[:, 1::2]
- return xcor, ycor, digclass
-
- xcor, ycor, digclass = raw_to_num(training)
- training = {'x' : xcor, 'y' : ycor, 'class' : digclass}
- xcor, ycor, digclass = raw_to_num(testing)
- testing = {'x' : xcor, 'y' : ycor, 'class' : digclass}
- return {'testing' : testing, 'training' : training}
diff --git a/scikits/learn/datasets/pendigits/src/convert.py b/scikits/learn/datasets/pendigits/src/convert.py
index 78732ed27d..ba521d7356 100755
--- a/scikits/learn/datasets/pendigits/src/convert.py
+++ b/scikits/learn/datasets/pendigits/src/convert.py
@@ -1,5 +1,5 @@
#! /usr/bin/env python
-# Last Change: Tue Jul 17 05:00 PM 2007 J
+# Last Change: Sun Jul 22 01:00 PM 2007 J
# This script generates a python file from the txt data
import csv
@@ -16,8 +16,10 @@ a = csv.reader(f)
tes = [[int(j) for j in i] for i in a]
# Write the data in pendigits.py
-a = open("../pendigits.py", "w")
+ftra = open("../pendigits_tra.py", "w")
+ftes = open("../pendigits_tes.py", "w")
-a.writelines(dumpvar(tra, 'training'))
-a.writelines(dumpvar(tes, 'testing'))
-a.close()
+ftra.writelines(dumpvar(tra, 'training'))
+ftra.close()
+ftes.writelines(dumpvar(tes, 'testing'))
+ftes.close()
diff --git a/scikits/learn/datasets/pendigits/testing/__init__.py b/scikits/learn/datasets/pendigits/testing/__init__.py
new file mode 100644
index 0000000000..5365f9712c
--- /dev/null
+++ b/scikits/learn/datasets/pendigits/testing/__init__.py
@@ -0,0 +1,8 @@
+#! /usr/bin/env python
+# Last Change: Sun Jul 22 03:00 PM 2007 J
+import data
+__doc__ = data.DESCRSHORT
+copyright = data.COPYRIGHT
+source = data.SOURCE
+
+load = data.load
diff --git a/scikits/learn/datasets/pendigits/testing/__init__.pyc b/scikits/learn/datasets/pendigits/testing/__init__.pyc
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diff --git a/scikits/learn/datasets/pendigits/testing/data.py b/scikits/learn/datasets/pendigits/testing/data.py
new file mode 100644
index 0000000000..d49415c4b1
--- /dev/null
+++ b/scikits/learn/datasets/pendigits/testing/data.py
@@ -0,0 +1,99 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+# Last Change: Sun Jul 22 02:00 PM 2007 J
+
+# The code and descriptive text is copyrighted and offered under the terms of
+# the BSD License from the authors; see below. However, the actual dataset may
+# have a different origin and intellectual property status. See the SOURCE and
+# COPYRIGHT variables for this information.
+
+# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
+#
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are
+# met:
+#
+# * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+# * Redistributions in binary form must reproduce the above copyright
+# notice, this list of conditions and the following disclaimer in
+# the documentation and/or other materials provided with the
+# distribution.
+# * Neither the author nor the names of any contributors may be used
+# to endorse or promote products derived from this software without
+# specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
+# TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
+# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
+# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+"""Pen-based recognition of handwritten digits: testing data"""
+
+__docformat__ = 'restructuredtext'
+
+from scikits.learn.datasets.pendigits import _pendigit as PD
+
+COPYRIGHT = PD.COPYRIGHT
+TITLE = """Pen-Based Recognition of Handwritten Digits Original: testing data."""
+SOURCE = PD.SOURCE
+
+DESCRSHORT = PD.DESCRSHORT + """
+
+Those are the testing, unnormalized data."""
+
+DESCRLONG = PD.DESCRLONG
+NOTE = PD.NOTE
+
+def load():
+ """load the PENDIGITS testing data.
+
+ :returns:
+ data: dictionary.
+
+ """
+ import numpy
+ from pendigits_tes import testing
+ assert len(testing) == 3498
+
+ def raw_to_num(dt):
+ cor = numpy.empty((len(dt), 16), numpy.int)
+ digclass = numpy.empty(len(dt), dtype = numpy.int)
+ for i in range(len(cor)):
+ cor[i] = dt[i][:-1]
+ digclass[i] = dt[i][-1]
+ #xcor = coordinates[:, ::2]
+ #ycor = coordinates[:, 1::2]
+ return cor, digclass
+
+ data = {}
+
+ # Coordinates
+ cor, digclass = raw_to_num(testing)
+ dt = [('x%d' % i, numpy.int) for i in range(8)]
+ dt.extend([('y%d' % i, numpy.int) for i in range(8)])
+ data['data'] = numpy.empty(len(cor), dt)
+ for i in range(8):
+ data['data']['x%d' % i] = cor[:, 2*i]
+ data['data']['y%d' % i] = cor[:, 2*i + 1]
+
+ # label
+ data['label'] = digclass
+
+ # class names
+ cnames = ['zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven',\
+ 'eight', 'nine']
+ data['class'] = numpy.empty(10, 'S%d' % numpy.max([len(i) for i in cnames]))
+ for i in range(len(cnames)):
+ data['class'][i] = cnames[i]
+
+ return data
diff --git a/scikits/learn/datasets/pendigits/testing/data.pyc b/scikits/learn/datasets/pendigits/testing/data.pyc
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diff --git a/scikits/learn/datasets/pendigits/testing/pendigits_tes.py b/scikits/learn/datasets/pendigits/testing/pendigits_tes.py
new file mode 100644
index 0000000000..46476c7c92
--- /dev/null
+++ b/scikits/learn/datasets/pendigits/testing/pendigits_tes.py
@@ -0,0 +1,3037 @@
+testing = [[88, 92, 2, 99, 16, 66, 94, 37, 70, 0, 0, 24, 42, 65, 100, 100, 8],
+[80, 100, 18, 98, 60, 66, 100, 29, 42, 0, 0, 23, 42, 61, 56, 98, 8], [0, 94, 9,
+57, 20, 19, 7, 0, 20, 36, 70, 68, 100, 100, 18, 92, 8], [95, 82, 71, 100, 27,
+77, 77, 73, 100, 80, 93, 42, 56, 13, 0, 0, 9], [68, 100, 6, 88, 47, 75, 87, 82,
+85, 56, 100, 29, 75, 6, 0, 0, 9], [70, 100, 100, 97, 70, 81, 45, 65, 30, 49,
+20, 33, 0, 16, 0, 0, 1], [40, 100, 0, 81, 15, 58, 100, 57, 47, 87, 50, 88, 40,
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+100, 66, 94, 33, 89, 0, 4], [27, 73, 81, 100, 83, 91, 78, 52, 62, 14, 0, 0, 29,
+1, 100, 5, 1], [77, 96, 38, 100, 58, 77, 99, 86, 100, 50, 84, 12, 43, 0, 0, 0,
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+70, 0, 44, 42, 33, 85, 49, 83, 31, 85, 0, 4], [0, 50, 41, 69, 76, 90, 100, 100,
+89, 74, 78, 50, 70, 25, 68, 0, 1], [2, 75, 37, 100, 56, 99, 58, 61, 46, 25, 0,
+0, 34, 5, 100, 8, 1], [10, 100, 0, 60, 14, 18, 60, 0, 100, 24, 96, 66, 58, 95,
+19, 73, 0], [79, 90, 100, 93, 63, 100, 82, 84, 99, 61, 87, 22, 44, 0, 0, 19,
+9], [0, 88, 59, 100, 89, 72, 82, 40, 63, 9, 28, 0, 25, 25, 100, 27, 7], [5, 97,
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+42, 25, 100, 100, 82, 75, 46, 98, 0, 0, 3, 3], [20, 100, 6, 61, 25, 28, 18, 0,
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diff --git a/scikits/learn/datasets/pendigits/testing/pendigits_tes.pyc b/scikits/learn/datasets/pendigits/testing/pendigits_tes.pyc
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diff --git a/scikits/learn/datasets/pendigits/training/__init__.py b/scikits/learn/datasets/pendigits/training/__init__.py
new file mode 100644
index 0000000000..5365f9712c
--- /dev/null
+++ b/scikits/learn/datasets/pendigits/training/__init__.py
@@ -0,0 +1,8 @@
+#! /usr/bin/env python
+# Last Change: Sun Jul 22 03:00 PM 2007 J
+import data
+__doc__ = data.DESCRSHORT
+copyright = data.COPYRIGHT
+source = data.SOURCE
+
+load = data.load
diff --git a/scikits/learn/datasets/pendigits/training/__init__.pyc b/scikits/learn/datasets/pendigits/training/__init__.pyc
new file mode 100644
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diff --git a/scikits/learn/datasets/pendigits/training/data.py b/scikits/learn/datasets/pendigits/training/data.py
new file mode 100644
index 0000000000..24cb84ae0c
--- /dev/null
+++ b/scikits/learn/datasets/pendigits/training/data.py
@@ -0,0 +1,97 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+# Last Change: Sun Jul 22 03:00 PM 2007 J
+
+# The code and descriptive text is copyrighted and offered under the terms of
+# the BSD License from the authors; see below. However, the actual dataset may
+# have a different origin and intellectual property status. See the SOURCE and
+# COPYRIGHT variables for this information.
+
+# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
+#
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are
+# met:
+#
+# * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+# * Redistributions in binary form must reproduce the above copyright
+# notice, this list of conditions and the following disclaimer in
+# the documentation and/or other materials provided with the
+# distribution.
+# * Neither the author nor the names of any contributors may be used
+# to endorse or promote products derived from this software without
+# specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
+# TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
+# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
+# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+"""Pen-based recognition of handwritten digits: testing data"""
+
+__docformat__ = 'restructuredtext'
+
+from scikits.learn.datasets.pendigits import _pendigit as PD
+
+COPYRIGHT = PD.COPYRIGHT
+TITLE = """Pen-Based Recognition of Handwritten Digits Original: training data."""
+SOURCE = PD.SOURCE
+
+DESCRSHORT = PD.DESCRSHORT + """
+
+Those are the training, unnormalized data."""
+
+DESCRLONG = PD.DESCRLONG
+NOTE = PD.NOTE
+
+def load():
+ """load the PENDIGITS training data.
+
+ :returns:
+ data: dictionary.
+
+ """
+ import numpy
+ from pendigits_tra import training
+ assert len(training) == 7494
+
+ def raw_to_num(dt):
+ cor = numpy.empty((len(dt), 16), numpy.int)
+ digclass = numpy.empty(len(dt), dtype = numpy.int)
+ for i in range(len(cor)):
+ cor[i] = dt[i][:-1]
+ digclass[i] = dt[i][-1]
+ return cor, digclass
+
+ data = {}
+
+ # Coordinates
+ cor, digclass = raw_to_num(training)
+ dt = [('x%d' % i, numpy.int) for i in range(8)]
+ dt.extend([('y%d' % i, numpy.int) for i in range(8)])
+ data['data'] = numpy.empty(len(cor), dt)
+ for i in range(8):
+ data['data']['x%d' % i] = cor[:, 2*i]
+ data['data']['y%d' % i] = cor[:, 2*i + 1]
+
+ # label
+ data['label'] = digclass
+
+ # class names
+ cnames = ['zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven',\
+ 'eight', 'nine']
+ data['class'] = numpy.empty(10, 'S%d' % numpy.max([len(i) for i in cnames]))
+ for i in range(len(cnames)):
+ data['class'][i] = cnames[i]
+
+ return data
diff --git a/scikits/learn/datasets/pendigits/training/data.pyc b/scikits/learn/datasets/pendigits/training/data.pyc
new file mode 100644
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diff --git a/scikits/learn/datasets/pendigits/pendigits.py b/scikits/learn/datasets/pendigits/training/pendigits_tra.py
similarity index 68%
rename from scikits/learn/datasets/pendigits/pendigits.py
rename to scikits/learn/datasets/pendigits/training/pendigits_tra.py
index 0398759236..0b598c51b5 100644
--- a/scikits/learn/datasets/pendigits/pendigits.py
+++ b/scikits/learn/datasets/pendigits/training/pendigits_tra.py
@@ -6507,3040 +6507,3 @@ training = [[47, 100, 27, 81, 57, 37, 26, 0, 0, 23, 56, 53, 100, 90, 40, 98,
5, 5], [59, 65, 91, 100, 84, 96, 72, 50, 51, 8, 0, 0, 45, 1, 100, 0, 1], [0,
78, 29, 100, 94, 86, 70, 48, 42, 11, 32, 0, 25, 36, 100, 40, 7]]
-testing = [[88, 92, 2, 99, 16, 66, 94, 37, 70, 0, 0, 24, 42, 65, 100, 100, 8],
-[80, 100, 18, 98, 60, 66, 100, 29, 42, 0, 0, 23, 42, 61, 56, 98, 8], [0, 94, 9,
-57, 20, 19, 7, 0, 20, 36, 70, 68, 100, 100, 18, 92, 8], [95, 82, 71, 100, 27,
-77, 77, 73, 100, 80, 93, 42, 56, 13, 0, 0, 9], [68, 100, 6, 88, 47, 75, 87, 82,
-85, 56, 100, 29, 75, 6, 0, 0, 9], [70, 100, 100, 97, 70, 81, 45, 65, 30, 49,
-20, 33, 0, 16, 0, 0, 1], [40, 100, 0, 81, 15, 58, 100, 57, 47, 87, 50, 88, 40,
-42, 36, 0, 4], [3, 71, 0, 95, 45, 100, 100, 99, 79, 78, 48, 53, 31, 24, 54, 0,
-7], [79, 87, 98, 81, 71, 100, 72, 73, 100, 66, 91, 21, 48, 0, 0, 13, 9], [92,
-95, 30, 100, 34, 68, 87, 89, 84, 78, 100, 35, 64, 0, 0, 19, 9], [58, 64, 100,
-96, 27, 100, 0, 63, 79, 65, 91, 72, 48, 36, 10, 0, 9], [34, 89, 3, 70, 1, 25,
-49, 0, 100, 23, 100, 67, 56, 99, 0, 100, 0], [0, 90, 46, 100, 88, 92, 79, 69,
-60, 48, 39, 27, 47, 6, 100, 0, 2], [20, 71, 0, 29, 31, 0, 78, 12, 100, 51, 84,
-93, 37, 100, 8, 66, 0], [100, 100, 67, 98, 41, 80, 44, 50, 78, 42, 68, 16, 35,
-2, 0, 0, 5], [91, 69, 48, 57, 9, 79, 60, 100, 100, 75, 95, 40, 64, 8, 0, 0, 9],
-[30, 74, 55, 100, 89, 87, 66, 56, 100, 38, 92, 8, 41, 0, 0, 20, 3], [5, 65, 0,
-89, 37, 100, 88, 97, 100, 79, 71, 53, 48, 26, 59, 0, 7], [42, 93, 19, 88, 0,
-42, 24, 0, 83, 11, 100, 56, 75, 100, 17, 97, 0], [4, 100, 0, 72, 15, 44, 79,
-50, 100, 76, 90, 51, 83, 22, 85, 0, 4], [100, 100, 79, 80, 54, 59, 32, 38, 21,
-16, 50, 0, 79, 16, 0, 16, 6], [0, 76, 30, 48, 53, 9, 11, 0, 47, 34, 97, 66,
-100, 100, 38, 85, 8], [0, 93, 40, 100, 57, 61, 51, 17, 35, 0, 12, 37, 54, 48,
-100, 49, 7], [100, 100, 73, 95, 40, 69, 14, 39, 2, 2, 39, 0, 37, 29, 0, 14, 6],
-[88, 100, 42, 77, 12, 50, 0, 22, 45, 0, 100, 17, 73, 44, 15, 49, 6], [33, 86,
-0, 55, 1, 12, 52, 0, 90, 34, 100, 76, 56, 100, 6, 77, 0], [69, 100, 44, 77, 5,
-50, 0, 28, 67, 23, 100, 44, 95, 29, 89, 0, 4], [27, 83, 0, 42, 9, 0, 65, 17,
-96, 57, 100, 100, 45, 95, 10, 58, 0], [19, 100, 35, 93, 0, 63, 12, 36, 89, 37,
-100, 66, 94, 33, 89, 0, 4], [27, 73, 81, 100, 83, 91, 78, 52, 62, 14, 0, 0, 29,
-1, 100, 5, 1], [77, 96, 38, 100, 58, 77, 99, 86, 100, 50, 84, 12, 43, 0, 0, 0,
-9], [41, 84, 73, 100, 100, 82, 62, 60, 97, 38, 91, 8, 42, 0, 0, 19, 3], [32,
-92, 24, 47, 71, 36, 38, 0, 0, 0, 21, 48, 49, 92, 100, 100, 5], [53, 100, 30,
-95, 0, 60, 100, 55, 92, 87, 77, 79, 79, 37, 79, 0, 4], [100, 95, 75, 100, 42,
-70, 0, 44, 42, 33, 85, 49, 83, 31, 85, 0, 4], [0, 50, 41, 69, 76, 90, 100, 100,
-89, 74, 78, 50, 70, 25, 68, 0, 1], [2, 75, 37, 100, 56, 99, 58, 61, 46, 25, 0,
-0, 34, 5, 100, 8, 1], [10, 100, 0, 60, 14, 18, 60, 0, 100, 24, 96, 66, 58, 95,
-19, 73, 0], [79, 90, 100, 93, 63, 100, 82, 84, 99, 61, 87, 22, 44, 0, 0, 19,
-9], [0, 88, 59, 100, 89, 72, 82, 40, 63, 9, 28, 0, 25, 25, 100, 27, 7], [5, 97,
-9, 61, 37, 25, 0, 0, 7, 32, 56, 64, 100, 96, 37, 100, 8], [59, 89, 42, 23, 29,
-42, 25, 100, 100, 82, 75, 46, 98, 0, 0, 3, 3], [20, 100, 6, 61, 25, 28, 18, 0,
-0, 27, 11, 63, 55, 75, 100, 82, 5], [100, 100, 49, 77, 17, 51, 2, 24, 24, 0,
-100, 10, 73, 35, 0, 42, 6], [29, 80, 0, 41, 14, 0, 70, 14, 100, 53, 100, 96,
-49, 100, 19, 62, 0], [21, 87, 33, 52, 62, 13, 5, 0, 0, 36, 74, 66, 100, 100, 5,
-89, 8], [13, 67, 40, 100, 65, 78, 37, 42, 0, 11, 6, 4, 60, 0, 100, 19, 2], [5,
-70, 56, 44, 60, 3, 0, 0, 30, 39, 84, 72, 100, 100, 32, 74, 8], [0, 94, 68, 100,
-89, 68, 72, 33, 43, 0, 3, 21, 25, 50, 100, 58, 7], [100, 93, 48, 100, 27, 69,
-30, 33, 16, 0, 0, 26, 41, 51, 100, 58, 8], [0, 55, 46, 58, 73, 82, 100, 100,
-92, 75, 89, 50, 84, 25, 89, 0, 1], [96, 66, 62, 100, 32, 69, 74, 62, 89, 56,
-100, 10, 50, 0, 0, 10, 9], [32, 96, 70, 100, 12, 95, 32, 66, 89, 62, 100, 22,
-51, 0, 0, 16, 5], [79, 100, 41, 82, 0, 61, 23, 45, 77, 37, 86, 54, 86, 25, 100,
-0, 4], [22, 72, 55, 100, 54, 89, 53, 50, 55, 12, 0, 1, 49, 0, 100, 4, 1], [23,
-70, 51, 100, 74, 82, 51, 46, 20, 15, 0, 4, 50, 0, 100, 2, 2], [88, 100, 100,
-95, 75, 79, 38, 64, 25, 47, 12, 32, 0, 16, 12, 0, 1], [76, 100, 31, 87, 1, 52,
-0, 14, 61, 0, 100, 27, 50, 42, 1, 21, 6], [29, 97, 0, 57, 22, 10, 68, 0, 100,
-40, 83, 90, 37, 100, 12, 57, 0], [53, 67, 80, 44, 67, 7, 0, 0, 35, 36, 83, 68,
-100, 100, 25, 80, 8], [11, 45, 17, 6, 55, 0, 88, 25, 100, 61, 79, 94, 38, 100,
-0, 84, 0], [88, 90, 18, 100, 17, 66, 79, 33, 49, 0, 0, 28, 41, 67, 100, 98, 8],
-[75, 100, 42, 78, 13, 51, 0, 22, 40, 0, 100, 16, 88, 43, 22, 35, 6], [27, 82,
-65, 100, 100, 89, 69, 62, 33, 39, 0, 15, 37, 1, 88, 0, 2], [70, 84, 11, 76, 0,
-91, 56, 100, 99, 83, 100, 55, 88, 28, 75, 0, 9], [88, 100, 29, 100, 30, 74, 85,
-83, 100, 67, 97, 27, 57, 0, 0, 5, 9], [51, 54, 100, 87, 36, 100, 19, 62, 44,
-22, 2, 0, 0, 37, 78, 57, 8], [15, 84, 0, 57, 5, 17, 52, 0, 95, 28, 100, 67, 70,
-100, 20, 87, 0], [0, 76, 29, 95, 92, 100, 81, 77, 75, 56, 100, 35, 85, 13, 31,
-0, 3], [38, 65, 36, 98, 100, 100, 99, 69, 62, 55, 96, 26, 55, 0, 0, 15, 3],
-[82, 100, 8, 92, 45, 60, 100, 29, 52, 0, 0, 24, 21, 61, 53, 98, 8], [0, 82, 34,
-100, 78, 90, 49, 62, 80, 49, 100, 18, 62, 0, 18, 13, 3], [53, 64, 73, 100, 70,
-83, 67, 42, 36, 11, 0, 0, 49, 4, 100, 9, 1], [0, 39, 30, 69, 48, 100, 39, 69,
-41, 35, 33, 5, 31, 2, 100, 0, 1], [12, 91, 48, 100, 66, 77, 77, 63, 100, 42,
-75, 15, 34, 0, 0, 15, 3], [100, 89, 34, 100, 0, 75, 76, 78, 83, 62, 90, 35, 85,
-8, 5, 0, 9], [26, 98, 24, 49, 45, 13, 17, 0, 0, 35, 26, 72, 62, 91, 100, 100,
-5], [61, 100, 24, 88, 21, 49, 26, 9, 0, 0, 7, 37, 51, 60, 100, 78, 8], [25, 76,
-0, 39, 15, 0, 68, 1, 98, 36, 100, 76, 58, 100, 7, 90, 0], [0, 63, 37, 44, 42,
-6, 1, 0, 25, 36, 65, 67, 100, 100, 46, 80, 8], [62, 100, 25, 91, 0, 49, 7, 2,
-55, 0, 92, 30, 100, 78, 63, 100, 0], [78, 99, 21, 85, 0, 50, 5, 14, 59, 0, 100,
-27, 100, 65, 79, 100, 0], [76, 93, 24, 100, 0, 72, 58, 73, 74, 74, 100, 42, 92,
-12, 37, 0, 9], [100, 100, 79, 86, 62, 71, 50, 57, 33, 43, 21, 28, 8, 14, 0, 0,
-1], [100, 98, 71, 100, 42, 88, 35, 55, 59, 41, 61, 16, 31, 3, 0, 0, 5], [27,
-50, 56, 89, 64, 100, 55, 52, 35, 9, 0, 2, 52, 2, 100, 0, 1], [0, 67, 25, 100,
-49, 73, 36, 33, 6, 0, 1, 6, 53, 3, 100, 11, 2], [56, 97, 15, 77, 0, 35, 23, 0,
-70, 3, 100, 36, 95, 78, 54, 100, 0], [100, 83, 25, 100, 16, 67, 58, 28, 12, 0,
-0, 33, 65, 65, 89, 91, 8], [23, 97, 0, 48, 17, 0, 58, 3, 93, 35, 100, 89, 59,
-100, 23, 73, 0], [95, 76, 34, 80, 0, 97, 57, 100, 98, 80, 100, 53, 83, 25, 59,
-0, 9], [0, 93, 41, 100, 57, 65, 47, 26, 21, 0, 2, 35, 51, 38, 100, 36, 7], [17,
-81, 59, 100, 76, 75, 53, 48, 100, 44, 89, 13, 40, 0, 0, 20, 3], [77, 64, 100,
-96, 45, 100, 35, 63, 34, 25, 0, 0, 0, 36, 48, 62, 8], [9, 88, 22, 100, 26, 65,
-16, 31, 0, 5, 33, 1, 66, 0, 100, 3, 2], [99, 88, 74, 100, 56, 75, 100, 85, 99,
-57, 89, 17, 46, 0, 0, 4, 9], [26, 94, 0, 61, 6, 16, 47, 0, 91, 17, 100, 60, 71,
-95, 27, 100, 0], [76, 67, 75, 100, 0, 77, 49, 40, 83, 0, 5, 12, 36, 52, 100,
-87, 8], [34, 100, 14, 83, 2, 66, 0, 48, 23, 34, 65, 30, 91, 17, 100, 0, 4], [0,
-98, 75, 100, 84, 65, 54, 31, 26, 0, 100, 21, 96, 39, 6, 41, 7], [100, 100, 55,
-82, 23, 54, 0, 23, 33, 0, 87, 15, 66, 44, 11, 40, 6], [8, 100, 67, 99, 72, 65,
-55, 31, 32, 0, 0, 26, 36, 47, 100, 52, 7], [49, 100, 7, 83, 0, 54, 100, 60, 72,
-82, 51, 86, 59, 36, 68, 0, 4], [15, 70, 48, 100, 63, 89, 57, 56, 67, 24, 15, 1,
-0, 0, 100, 0, 1], [0, 95, 39, 100, 67, 73, 53, 30, 40, 0, 21, 40, 53, 45, 100,
-40, 7], [80, 100, 28, 81, 44, 70, 89, 82, 89, 54, 100, 25, 69, 4, 0, 0, 9],
-[62, 81, 100, 100, 84, 91, 40, 76, 67, 64, 83, 26, 46, 0, 0, 9, 5], [45, 69,
-74, 100, 68, 94, 57, 50, 39, 9, 0, 3, 50, 3, 100, 0, 1], [0, 89, 61, 100, 100,
-85, 47, 65, 44, 47, 98, 29, 71, 4, 6, 0, 3], [100, 100, 70, 86, 53, 72, 37, 58,
-20, 43, 10, 29, 0, 14, 13, 0, 1], [100, 100, 82, 91, 64, 75, 50, 59, 27, 43,
-14, 27, 0, 11, 0, 0, 1], [32, 75, 59, 100, 88, 84, 72, 54, 100, 38, 89, 10, 39,
-0, 0, 19, 3], [0, 98, 39, 100, 71, 80, 72, 39, 69, 0, 48, 29, 60, 50, 100, 55,
-7], [0, 100, 52, 94, 74, 60, 71, 23, 55, 0, 9, 21, 43, 31, 100, 31, 7], [8, 96,
-55, 100, 62, 67, 42, 30, 25, 0, 0, 36, 41, 49, 100, 50, 7], [23, 89, 59, 100,
-75, 68, 58, 33, 36, 0, 0, 18, 48, 27, 100, 32, 7], [42, 98, 22, 72, 75, 51, 62,
-0, 0, 6, 23, 57, 43, 100, 100, 99, 5], [21, 85, 57, 100, 63, 71, 30, 55, 85,
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diff --git a/scikits/learn/datasets/pendigits/training/pendigits_tra.pyc b/scikits/learn/datasets/pendigits/training/pendigits_tra.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..a7909ca1d19cc626ae76fa46798ee52987d43c92
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--
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