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data/mnist/README.md

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# Downloading the MNIST dataset
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# Downloading the MNIST dataset
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http://yann.lecun.com/exdb/mnist/

docs/MNIST_fash.png

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docs/class 6 and 2.png

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docs/class 6 and class 1.png

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docs/knn_PCA_5.png

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docs/norm_knn_PCA_5.png

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docs/only KNN/conf.png

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docs/only KNN/eval.png

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docs/only KNN/norm_conf.png

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requirements.txt

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absl-py==0.7.0
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alabaster==0.7.12
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asn1crypto==0.24.0
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astor==0.7.1
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astroid==2.2.5
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Babel==2.6.0
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backcall==0.1.0
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bleach==3.1.0
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certifi==2019.9.11
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cffi==1.12.2
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chardet==3.0.4
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cloudpickle==0.8.0
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colorama==0.4.1
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cryptography==2.6.1
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cycler==0.10.0
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dataclasses==0.6
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decorator==4.3.0
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docutils==0.14
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entrypoints==0.3
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Faker==1.0.5
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future==0.17.1
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gast==0.2.2
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grpcio==1.18.0
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h5py==2.9.0
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idna==2.8
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imagesize==1.1.0
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import-ipynb==0.1.3
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importlib-resources==1.0.2
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importnb==0.5.5
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ipykernel==5.1.0
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ipython==7.2.0
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ipython-genutils==0.2.0
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ipywidgets==7.4.2
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isort==4.3.16
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jedi==0.13.2
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Jinja2==2.10
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jsonschema==2.6.0
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jupyter==1.0.0
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jupyter-client==5.2.4
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jupyter-console==6.0.0
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jupyter-core==4.4.0
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Keras==2.2.4
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Keras-Applications==1.0.6
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Keras-Preprocessing==1.0.5
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keyring==18.0.0
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kiwisolver==1.0.1
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lazy-object-proxy==1.3.1
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Markdown==3.0.1
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MarkupSafe==1.1.0
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matplotlib==3.0.2
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mccabe==0.6.1
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mistune==0.8.4
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mkl-fft==1.0.10
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mkl-random==1.0.2
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nbconvert==5.3.1
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nbformat==4.4.0
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notebook==5.7.4
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numexpr==2.6.9
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numpy==1.15.4
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numpydoc==0.8.0
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olefile==0.46
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packaging==19.0
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pandas==0.24.0
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pandocfilters==1.4.2
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parso==0.3.1
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patsy==0.5.1
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pickleshare==0.7.5
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Pillow==5.4.1
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prometheus-client==0.5.0
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prompt-toolkit==2.0.7
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protobuf==3.6.1
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psutil==5.6.1
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pycodestyle==2.5.0
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pycparser==2.19
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pyflakes==2.1.1
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Pygments==2.3.1
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pylint==2.3.1
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pyOpenSSL==19.0.0
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pyparsing==2.3.1
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pyreadline==2.1
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PySocks==1.6.8
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python-dateutil==2.7.5
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pytz==2018.9
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pywin32==223
85-
pywinpty==0.5.5
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PyYAML==3.13
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pyzmq==17.1.2
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QtAwesome==0.5.7
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qtconsole==4.4.3
90-
QtPy==1.7.0
91-
requests==2.21.0
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rope==0.12.0
93-
scikit-learn==0.20.2
94-
scipy==1.2.0
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seaborn==0.9.0
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Send2Trash==1.5.0
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six==1.12.0
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snowballstemmer==1.2.1
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Sphinx==1.8.5
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sphinxcontrib-websupport==1.1.0
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spyder==3.3.3
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spyder-kernels==0.4.2
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statsmodels==0.9.0
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tables==3.4.4
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tensorboard==1.12.2
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tensorflow==1.12.0
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termcolor==1.1.0
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terminado==0.8.1
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testpath==0.4.2
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text-unidecode==1.2
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tornado==5.1.1
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tqdm==4.31.1
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traitlets==4.3.2
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typed-ast==1.3.1
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urllib3==1.24.1
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wcwidth==0.1.7
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webencodings==0.5.1
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Werkzeug==0.14.1
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widgetsnbextension==3.4.2
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win-inet-pton==1.1.0
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wincertstore==0.2
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wrapt==1.11.1
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pre-commit
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absl-py==0.7.0
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alabaster==0.7.12
4+
asn1crypto==0.24.0
5+
astor==0.7.1
6+
astroid==2.2.5
7+
Babel==2.6.0
8+
backcall==0.1.0
9+
bleach==3.1.0
10+
certifi==2019.9.11
11+
cffi==1.12.2
12+
chardet==3.0.4
13+
cloudpickle==0.8.0
14+
colorama==0.4.1
15+
cryptography==2.6.1
16+
cycler==0.10.0
17+
dataclasses==0.6
18+
decorator==4.3.0
19+
docutils==0.14
20+
entrypoints==0.3
21+
Faker==1.0.5
22+
future==0.17.1
23+
gast==0.2.2
24+
grpcio==1.18.0
25+
h5py==2.9.0
26+
idna==2.8
27+
imagesize==1.1.0
28+
import-ipynb==0.1.3
29+
importlib-resources==1.0.2
30+
importnb==0.5.5
31+
ipykernel==5.1.0
32+
ipython==7.2.0
33+
ipython-genutils==0.2.0
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ipywidgets==7.4.2
35+
isort==4.3.16
36+
jedi==0.13.2
37+
Jinja2==2.10
38+
jsonschema==2.6.0
39+
jupyter==1.0.0
40+
jupyter-client==5.2.4
41+
jupyter-console==6.0.0
42+
jupyter-core==4.4.0
43+
Keras==2.2.4
44+
Keras-Applications==1.0.6
45+
Keras-Preprocessing==1.0.5
46+
keyring==18.0.0
47+
kiwisolver==1.0.1
48+
lazy-object-proxy==1.3.1
49+
Markdown==3.0.1
50+
MarkupSafe==1.1.0
51+
matplotlib==3.0.2
52+
mccabe==0.6.1
53+
mistune==0.8.4
54+
mkl-fft==1.0.10
55+
mkl-random==1.0.2
56+
nbconvert==5.3.1
57+
nbformat==4.4.0
58+
notebook==5.7.4
59+
numexpr==2.6.9
60+
numpy==1.15.4
61+
numpydoc==0.8.0
62+
olefile==0.46
63+
packaging==19.0
64+
pandas==0.24.0
65+
pandocfilters==1.4.2
66+
parso==0.3.1
67+
patsy==0.5.1
68+
pickleshare==0.7.5
69+
Pillow==5.4.1
70+
prometheus-client==0.5.0
71+
prompt-toolkit==2.0.7
72+
protobuf==3.6.1
73+
psutil==5.6.1
74+
pycodestyle==2.5.0
75+
pycparser==2.19
76+
pyflakes==2.1.1
77+
Pygments==2.3.1
78+
pylint==2.3.1
79+
pyOpenSSL==19.0.0
80+
pyparsing==2.3.1
81+
pyreadline==2.1
82+
PySocks==1.6.8
83+
python-dateutil==2.7.5
84+
pytz==2018.9
85+
pywin32==223
86+
pywinpty==0.5.5
87+
PyYAML==3.13
88+
pyzmq==17.1.2
89+
QtAwesome==0.5.7
90+
qtconsole==4.4.3
91+
QtPy==1.7.0
92+
requests==2.21.0
93+
rope==0.12.0
94+
scikit-learn==0.20.2
95+
scipy==1.2.0
96+
seaborn==0.9.0
97+
Send2Trash==1.5.0
98+
six==1.12.0
99+
snowballstemmer==1.2.1
100+
Sphinx==1.8.5
101+
sphinxcontrib-websupport==1.1.0
102+
spyder==3.3.3
103+
spyder-kernels==0.4.2
104+
statsmodels==0.9.0
105+
tables==3.4.4
106+
tensorboard==1.12.2
107+
tensorflow==1.12.0
108+
termcolor==1.1.0
109+
terminado==0.8.1
110+
testpath==0.4.2
111+
text-unidecode==1.2
112+
tornado==5.1.1
113+
tqdm==4.31.1
114+
traitlets==4.3.2
115+
typed-ast==1.3.1
116+
urllib3==1.24.1
117+
wcwidth==0.1.7
118+
webencodings==0.5.1
119+
Werkzeug==0.14.1
120+
widgetsnbextension==3.4.2
121+
win-inet-pton==1.1.0
122+
wincertstore==0.2
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wrapt==1.11.1

setup.py

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from setuptools import setup, find_packages
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with open("README.md", "r") as readme_file:
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readme = readme_file.read()
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requirements = ["ipython>=6", "nbformat>=4", "nbconvert>=5", "requests>=2"]
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setup(
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name="CMSC_828C_Project1",
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version="0.0.1",
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author="Aditya Vaishampayan",
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author_email="[email protected]",
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description="A project that contains bayes classifier implementation ",
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long_description=readme,
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long_description_content_type="text/markdown",
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install_requires=requirements,
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license='LICENSE.txt',
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)

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