Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
G
Graph representation learning - project
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Requirements
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Locked files
Build
Pipelines
Jobs
Pipeline schedules
Test cases
Artifacts
Deploy
Releases
Package registry
Container registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Code review analytics
Issue analytics
Insights
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
lenhy
Graph representation learning - project
Commits
775cda92
Commit
775cda92
authored
2 years ago
by
lenhy
Browse files
Options
Downloads
Patches
Plain Diff
Early stopping
parent
302dc70a
Branches
Branches containing commit
No related tags found
No related merge requests found
Changes
1
Show whitespace changes
Inline
Side-by-side
Showing
1 changed file
src/models/train_model.py
+10
-4
10 additions, 4 deletions
src/models/train_model.py
with
10 additions
and
4 deletions
src/models/train_model.py
+
10
−
4
View file @
775cda92
import
pykeen
import
pykeen
from
pykeen.models
import
TransE
,
RotatE
,
ConvE
,
DistMult
from
pykeen.models
import
TransE
,
RotatE
,
ConvE
,
DistMult
from
pykeen.stoppers
import
EarlyStopper
from
torch.optim
import
Adam
from
torch.optim
import
Adam
from
pykeen.training
import
SLCWATrainingLoop
from
pykeen.training
import
SLCWATrainingLoop
from
pykeen.evaluation
import
RankBasedEvaluator
from
pykeen.evaluation
import
RankBasedEvaluator
...
@@ -39,7 +40,9 @@ def get_model(name: str, triples, inverse_triples):
...
@@ -39,7 +40,9 @@ def get_model(name: str, triples, inverse_triples):
return
model_dict
[
name
],
lr_dict
[
name
],
epochs_dict
[
name
],
bs_dict
[
name
]
return
model_dict
[
name
],
lr_dict
[
name
],
epochs_dict
[
name
],
bs_dict
[
name
]
def
train
(
model
,
train_data
,
optimizer
,
n_epochs
:
int
=
20
,
batch_size
:
int
=
256
):
def
train
(
model
,
train_data
,
eval_data
,
optimizer
,
evaluator
,
n_epochs
:
int
=
20
,
batch_size
:
int
=
256
):
early_stopper
=
EarlyStopper
(
model
=
model
,
evaluator
=
evaluator
,
training_triples_factory
=
train_data
,
evaluation_triples_factory
=
eval_data
)
training_loop
=
SLCWATrainingLoop
(
training_loop
=
SLCWATrainingLoop
(
model
=
model
,
model
=
model
,
triples_factory
=
train_data
,
triples_factory
=
train_data
,
...
@@ -50,14 +53,16 @@ def train(model, train_data, optimizer, n_epochs: int = 20, batch_size: int = 25
...
@@ -50,14 +53,16 @@ def train(model, train_data, optimizer, n_epochs: int = 20, batch_size: int = 25
triples_factory
=
train_data
,
triples_factory
=
train_data
,
num_epochs
=
n_epochs
,
num_epochs
=
n_epochs
,
batch_size
=
batch_size
,
batch_size
=
batch_size
,
stopper
=
early_stopper
,
)
)
print
(
early_stopper
.
best_epoch
)
return
model
return
model
if
__name__
==
'
__main__
'
:
if
__name__
==
'
__main__
'
:
dataset
=
load_data
()
dataset
=
load_data
()
training_triples_factory
=
dataset
.
training
training_triples_factory
=
dataset
.
training
eval_triples_factory
=
dataset
.
validation
training_inverse
=
training_triples_factory
.
clone_and_exchange_triples
(
training_triples_factory
.
mapped_triples
,
create_inverse_triples
=
True
)
training_inverse
=
training_triples_factory
.
clone_and_exchange_triples
(
training_triples_factory
.
mapped_triples
,
create_inverse_triples
=
True
)
model_names
=
[
"
TransE
"
,
"
RotatE
"
,
"
DistMult
"
,
"
ConvE
"
]
model_names
=
[
"
TransE
"
,
"
RotatE
"
,
"
DistMult
"
,
"
ConvE
"
]
model_results
=
{}
model_results
=
{}
...
@@ -68,10 +73,11 @@ if __name__ == '__main__':
...
@@ -68,10 +73,11 @@ if __name__ == '__main__':
optimizer
=
Adam
(
lr
=
lr
,
params
=
model
.
get_grad_params
())
optimizer
=
Adam
(
lr
=
lr
,
params
=
model
.
get_grad_params
())
train
(
model
,
training_triples_factory
,
optimizer
,
n_epochs
=
epochs
,
batch_size
=
batch_size
)
evaluator
=
RankBasedEvaluator
()
evaluator
=
RankBasedEvaluator
()
train
(
model
,
training_triples_factory
,
eval_triples_factory
,
optimizer
,
evaluator
,
n_epochs
=
epochs
,
batch_size
=
batch_size
)
test_triples
=
dataset
.
testing
.
mapped_triples
test_triples
=
dataset
.
testing
.
mapped_triples
additional_triples
=
[
additional_triples
=
[
...
...
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