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/
HCG_project
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Authored by
GyuhoLee
2020-11-08 21:00:25 +0900
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Commit
b7114cfd118ace2436aa7e1605d4f1254dc04ba9
b7114cfd
1 parent
3924d52e
[Add] PageRank 벡터의 모양을 반환하는 함수
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4 changed files
with
50 additions
and
2 deletions
src/.idea/misc.xml
src/.idea/src.iml
src/.idea/workspace.xml
src/textrank/rank.py
src/.idea/misc.xml
View file @
b7114cf
<?xml version="1.0" encoding="UTF-8"?>
<project
version=
"4"
>
<component
name=
"ProjectRootManager"
version=
"2"
project-jdk-name=
"Python 3.
7 (src)
"
project-jdk-type=
"Python SDK"
/>
<component
name=
"ProjectRootManager"
version=
"2"
project-jdk-name=
"Python 3.
8
"
project-jdk-type=
"Python SDK"
/>
</project>
\ No newline at end of file
...
...
src/.idea/src.iml
View file @
b7114cf
...
...
@@ -2,7 +2,7 @@
<module
type=
"PYTHON_MODULE"
version=
"4"
>
<component
name=
"NewModuleRootManager"
>
<content
url=
"file://$MODULE_DIR$"
/>
<orderEntry
type=
"
inheritedJdk
"
/>
<orderEntry
type=
"
jdk"
jdkName=
"Python 3.8"
jdkType=
"Python SDK
"
/>
<orderEntry
type=
"sourceFolder"
forTests=
"false"
/>
</component>
</module>
\ No newline at end of file
...
...
src/.idea/workspace.xml
View file @
b7114cf
...
...
@@ -27,6 +27,13 @@
<option
name=
"HIGHLIGHT_NON_ACTIVE_CHANGELIST"
value=
"false"
/>
<option
name=
"LAST_RESOLUTION"
value=
"IGNORE"
/>
</component>
<component
name=
"FileTemplateManagerImpl"
>
<option
name=
"RECENT_TEMPLATES"
>
<list>
<option
value=
"Python Script"
/>
</list>
</option>
</component>
<component
name=
"Git.Settings"
>
<option
name=
"RECENT_GIT_ROOT_PATH"
value=
"$PROJECT_DIR$/.."
/>
</component>
...
...
src/textrank/rank.py
0 → 100644
View file @
b7114cf
import
numpy
as
np
from
sklearn.preprocessing
import
normalize
def
pagerank
(
x
,
df
=
0.85
,
max_iter
=
30
,
bias
=
None
):
"""
Arguments
---------
x : scipy.sparse.csr_matrix
shape = (n vertex, n vertex)
df : float
Damping factor, 0 < df < 1
max_iter : int
Maximum number of iteration
bias : numpy.ndarray or None
If None, equal bias
Returns
-------
R : numpy.ndarray
PageRank vector. shape = (n vertex, 1)
"""
assert
0
<
df
<
1
# initialize
A
=
normalize
(
x
,
axis
=
0
,
norm
=
'l1'
)
R
=
np
.
ones
(
A
.
shape
[
0
])
.
reshape
(
-
1
,
1
)
# check bias
if
bias
is
None
:
bias
=
(
1
-
df
)
*
np
.
ones
(
A
.
shape
[
0
])
.
reshape
(
-
1
,
1
)
else
:
bias
=
bias
.
reshape
(
-
1
,
1
)
bias
=
A
.
shape
[
0
]
*
bias
/
bias
.
sum
()
assert
bias
.
shape
[
0
]
==
A
.
shape
[
0
]
bias
=
(
1
-
df
)
*
bias
# iteration
for
_
in
range
(
max_iter
):
R
=
df
*
(
A
*
R
)
+
bias
return
R
\ No newline at end of file
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