Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
Supervised MultiModal Integration Tool
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Container registry
Model registry
Analyze
Contributor analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
GitLab community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Baptiste Bauvin
Supervised MultiModal Integration Tool
Commits
794d8283
Commit
794d8283
authored
5 years ago
by
Baptiste Bauvin
Browse files
Options
Downloads
Patches
Plain Diff
Mumbo
parent
2b5afd73
Branches
Branches containing commit
No related tags found
No related merge requests found
Changes
2
Show whitespace changes
Inline
Side-by-side
Showing
2 changed files
config_files/config_test.yml
+11
-6
11 additions, 6 deletions
config_files/config_test.yml
multiview_platform/mono_multi_view_classifiers/multiview_classifiers/mumbo.py
+13
-6
13 additions, 6 deletions
...ono_multi_view_classifiers/multiview_classifiers/mumbo.py
with
24 additions
and
12 deletions
config_files/config_test.yml
+
11
−
6
View file @
794d8283
...
@@ -21,13 +21,13 @@ split: 0.49
...
@@ -21,13 +21,13 @@ split: 0.49
nb_folds
:
2
nb_folds
:
2
nb_class
:
2
nb_class
:
2
classes
:
classes
:
type
:
[
"
multiview"
,
"
monoview"
]
type
:
[
"
multiview"
,]
algos_monoview
:
[
"
decision_tree"
]
algos_monoview
:
[
"
decision_tree"
]
algos_multiview
:
[
"
weighted_linear_early_fusion"
,]
algos_multiview
:
[
"
weighted_linear_early_fusion"
,]
stats_iter
:
2
stats_iter
:
2
metrics
:
[
"
accuracy_score"
,
"
f1_score"
]
metrics
:
[
"
accuracy_score"
,
"
f1_score"
]
metric_princ
:
"
accuracy_score"
metric_princ
:
"
accuracy_score"
hps_type
:
"
Grid
"
hps_type
:
"
None
"
hps_args
:
hps_args
:
n_iter
:
4
n_iter
:
4
equivalent_draws
:
False
equivalent_draws
:
False
...
@@ -40,10 +40,7 @@ hps_args:
...
@@ -40,10 +40,7 @@ hps_args:
view_weights
:
[
null
]
view_weights
:
[
null
]
monoview_classifier
:
[
"
decision_tree"
]
monoview_classifier
:
[
"
decision_tree"
]
monoview_classifier__max_depth
:
[
1
,
2
]
monoview_classifier__max_depth
:
[
1
,
2
]
mumbo
:
base_estimator
:
[
"
decision_tree"
,
"
random_forest"
]
base_estimator__max_depth
:
[
4
]
n_estimator
:
[
50
,
500
,
1000
]
...
@@ -51,6 +48,14 @@ hps_args:
...
@@ -51,6 +48,14 @@ hps_args:
######################################
######################################
## The Monoview Classifier arguments #
## The Monoview Classifier arguments #
######################################
######################################
mumbo
:
base_estimator__criterion
:
'
gini'
base_estimator__max_depth
:
4
base_estimator__random_state
:
None
base_estimator__splitter
:
'
best'
best_view_mode
:
'
edge'
n_estimators
:
50
#
#
#random_forest:
#random_forest:
# n_estimators: [25]
# n_estimators: [25]
...
...
This diff is collapsed.
Click to expand it.
multiview_platform/mono_multi_view_classifiers/multiview_classifiers/mumbo.py
+
13
−
6
View file @
794d8283
from
sklearn.tree
import
DecisionTreeClassifier
from
sklearn.tree
import
DecisionTreeClassifier
from
sklearn.base
import
BaseEstimator
from
sklearn.base
import
BaseEstimator
import
numpy
as
np
import
numpy
as
np
import
os
from
multimodal.boosting.mumbo
import
MumboClassifier
from
multimodal.boosting.mumbo
import
MumboClassifier
from
..multiview.multiview_utils
import
BaseMultiviewClassifier
from
..multiview.multiview_utils
import
BaseMultiviewClassifier
from
..utils.hyper_parameter_search
import
CustomRandint
from
..utils.hyper_parameter_search
import
CustomRandint
from
..utils.dataset
import
get_examples_views_indices
from
..utils.dataset
import
get_examples_views_indices
from
..utils.base
import
base_boosting_estimators
from
..utils.base
import
base_boosting_estimators
from
..utils.organization
import
secure_file_path
from
..
import
monoview_classifiers
from
..
import
monoview_classifiers
classifier_class_name
=
"
Mumbo
"
classifier_class_name
=
"
Mumbo
"
...
@@ -69,9 +72,7 @@ class Mumbo(BaseMultiviewClassifier, MumboClassifier):
...
@@ -69,9 +72,7 @@ class Mumbo(BaseMultiviewClassifier, MumboClassifier):
for
view_index
in
view_indices
]
for
view_index
in
view_indices
]
numpy_X
,
view_limits
=
X
.
to_numpy_array
(
example_indices
=
train_indices
,
numpy_X
,
view_limits
=
X
.
to_numpy_array
(
example_indices
=
train_indices
,
view_indices
=
view_indices
)
view_indices
=
view_indices
)
self
.
view_shapes
=
[
view_limits
[
ind
]
-
view_limits
[
ind
-
1
]
self
.
view_shapes
=
[
view_limits
[
ind
+
1
]
-
view_limits
[
ind
]
if
ind
>
0
else
view_limits
[
ind
]
for
ind
in
range
(
len
(
self
.
used_views
))
]
for
ind
in
range
(
len
(
self
.
used_views
))
]
return
MumboClassifier
.
fit
(
self
,
numpy_X
,
y
[
train_indices
],
return
MumboClassifier
.
fit
(
self
,
numpy_X
,
y
[
train_indices
],
...
@@ -86,7 +87,7 @@ class Mumbo(BaseMultiviewClassifier, MumboClassifier):
...
@@ -86,7 +87,7 @@ class Mumbo(BaseMultiviewClassifier, MumboClassifier):
view_indices
=
view_indices
)
view_indices
=
view_indices
)
return
MumboClassifier
.
predict
(
self
,
numpy_X
)
return
MumboClassifier
.
predict
(
self
,
numpy_X
)
def
get_interpretation
(
self
,
directory
,
labels
,
multiclass
=
False
):
def
get_interpretation
(
self
,
directory
,
base_file_name
,
labels
,
multiclass
=
False
):
self
.
view_importances
=
np
.
zeros
(
len
(
self
.
used_views
))
self
.
view_importances
=
np
.
zeros
(
len
(
self
.
used_views
))
self
.
feature_importances_
=
[
np
.
zeros
(
view_shape
)
self
.
feature_importances_
=
[
np
.
zeros
(
view_shape
)
for
view_shape
in
self
.
view_shapes
]
for
view_shape
in
self
.
view_shapes
]
...
@@ -100,8 +101,14 @@ class Mumbo(BaseMultiviewClassifier, MumboClassifier):
...
@@ -100,8 +101,14 @@ class Mumbo(BaseMultiviewClassifier, MumboClassifier):
self
.
feature_importances_
=
[
feature_importances
/
importances_sum
self
.
feature_importances_
=
[
feature_importances
/
importances_sum
for
feature_importances
for
feature_importances
in
self
.
feature_importances_
]
in
self
.
feature_importances_
]
for
feature_importances
,
view_name
in
zip
(
self
.
feature_importances_
,
self
.
view_names
):
secure_file_path
(
os
.
path
.
join
(
directory
,
"
feature_importances
"
,
base_file_name
+
view_name
+
"
-feature_importances.csv
"
))
np
.
savetxt
(
os
.
path
.
join
(
directory
,
"
feature_importances
"
,
base_file_name
+
view_name
+
"
-feature_importances.csv
"
),
feature_importances
,
delimiter
=
'
,
'
)
self
.
view_importances
/=
np
.
sum
(
self
.
view_importances
)
self
.
view_importances
/=
np
.
sum
(
self
.
view_importances
)
np
.
savetxt
(
directory
+
"
view_importances.csv
"
,
self
.
view_importances
,
np
.
savetxt
(
os
.
path
.
join
(
directory
,
base_file_name
+
"
view_importances.csv
"
)
,
self
.
view_importances
,
delimiter
=
'
,
'
)
delimiter
=
'
,
'
)
sorted_view_indices
=
np
.
argsort
(
-
self
.
view_importances
)
sorted_view_indices
=
np
.
argsort
(
-
self
.
view_importances
)
...
...
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment