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bob
bob.learn.em
Commits
568bb8ca
Commit
568bb8ca
authored
3 years ago
by
Amir MOHAMMADI
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Drop bob.db.iris
parent
9a803bd9
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Pipeline
#58844
passed
3 years ago
Stage: build
Stage: deploy
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4 changed files
conda/meta.yaml
+0
-1
0 additions, 1 deletion
conda/meta.yaml
doc/plot/plot_ML.py
+6
-14
6 additions, 14 deletions
doc/plot/plot_ML.py
doc/plot/plot_kmeans.py
+6
-14
6 additions, 14 deletions
doc/plot/plot_kmeans.py
test-requirements.txt
+0
-1
0 additions, 1 deletion
test-requirements.txt
with
12 additions
and
30 deletions
conda/meta.yaml
+
0
−
1
View file @
568bb8ca
...
@@ -56,7 +56,6 @@ test:
...
@@ -56,7 +56,6 @@ test:
-
sphinx {{ sphinx }}
-
sphinx {{ sphinx }}
-
sphinx_rtd_theme {{ sphinx_rtd_theme }}
-
sphinx_rtd_theme {{ sphinx_rtd_theme }}
-
matplotlib {{ matplotlib }}
-
matplotlib {{ matplotlib }}
-
bob.db.iris
about
:
about
:
home
:
https://www.idiap.ch/software/bob/
home
:
https://www.idiap.ch/software/bob/
...
...
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doc/plot/plot_ML.py
+
6
−
14
View file @
568bb8ca
...
@@ -5,26 +5,18 @@ import numpy
...
@@ -5,26 +5,18 @@ import numpy
from
matplotlib.lines
import
Line2D
from
matplotlib.lines
import
Line2D
from
matplotlib.patches
import
Ellipse
from
matplotlib.patches
import
Ellipse
from
sklearn.datasets
import
load_iris
import
bob.db.iris
from
bob.learn.em
import
GMMMachine
from
bob.learn.em
import
GMMMachine
logger
=
logging
.
getLogger
(
"
bob.learn.em
"
)
logger
=
logging
.
getLogger
(
"
bob.learn.em
"
)
logger
.
setLevel
(
"
DEBUG
"
)
logger
.
setLevel
(
"
DEBUG
"
)
data_per_class
=
bob
.
db
.
iris
.
data
()
iris_data
=
load_iris
()
setosa
=
numpy
.
column_stack
(
data
=
iris_data
.
data
(
data_per_class
[
"
setosa
"
][:,
0
],
data_per_class
[
"
setosa
"
][:,
3
])
setosa
=
data
[
iris_data
.
target
==
0
]
)
versicolor
=
data
[
iris_data
.
target
==
1
]
versicolor
=
numpy
.
column_stack
(
virginica
=
data
[
iris_data
.
target
==
2
]
(
data_per_class
[
"
versicolor
"
][:,
0
],
data_per_class
[
"
versicolor
"
][:,
3
])
)
virginica
=
numpy
.
column_stack
(
(
data_per_class
[
"
virginica
"
][:,
0
],
data_per_class
[
"
virginica
"
][:,
3
])
)
data
=
numpy
.
vstack
((
setosa
,
versicolor
,
virginica
))
# Two clusters with a feature dimensionality of 3
# Two clusters with a feature dimensionality of 3
machine
=
GMMMachine
(
machine
=
GMMMachine
(
...
...
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doc/plot/plot_kmeans.py
+
6
−
14
View file @
568bb8ca
import
matplotlib.pyplot
as
plt
import
matplotlib.pyplot
as
plt
import
numpy
import
bob.db.
iris
from
sklearn.datasets
import
load_
iris
from
bob.learn.em
import
KMeansMachine
from
bob.learn.em
import
KMeansMachine
data_per_class
=
bob
.
db
.
iris
.
data
()
iris_data
=
load_iris
()
setosa
=
numpy
.
column_stack
(
data
=
iris_data
.
data
(
data_per_class
[
"
setosa
"
][:,
0
],
data_per_class
[
"
setosa
"
][:,
3
])
setosa
=
data
[
iris_data
.
target
==
0
]
)
versicolor
=
data
[
iris_data
.
target
==
1
]
versicolor
=
numpy
.
column_stack
(
virginica
=
data
[
iris_data
.
target
==
2
]
(
data_per_class
[
"
versicolor
"
][:,
0
],
data_per_class
[
"
versicolor
"
][:,
3
])
)
virginica
=
numpy
.
column_stack
(
(
data_per_class
[
"
virginica
"
][:,
0
],
data_per_class
[
"
virginica
"
][:,
3
])
)
data
=
numpy
.
vstack
((
setosa
,
versicolor
,
virginica
))
# Training KMeans
# Training KMeans
# 3 clusters with a feature dimensionality of 2
# 3 clusters with a feature dimensionality of 2
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test-requirements.txt
deleted
100644 → 0
+
0
−
1
View file @
9a803bd9
bob.db.iris
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