Skip to content

Update README.md #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
JeremieGince merged 4 commits into from
Oct 15, 2025
Merged

Update README.md #7

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
cc83ad1
Update README.md
JeremieGince Oct 15, 2025
4862a76
Update default epochs and time in AutoMLPipeline
JeremieGince Oct 15, 2025
a2757b1
Update README.md
JeremieGince Oct 15, 2025
6d0ed02
Add instructions for CUDA (cu128) installation
JeremieGince Oct 15, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 5 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,8 @@ With `uv` installed,
uv add "git+https://github.com/MatchCake/MatchCake-Opt"
```

To install the package with cu128 (CUDA), add `--extra cu128` to the installation commands above.


### For developers

Expand Down Expand Up @@ -79,7 +81,7 @@ class LinearNN(ClassificationModel):
RangeParameterConfig(
name="n_neurons",
parameter_type="int",
bounds=(4, 16),
bounds=(4, 2048),
),
]

Expand All @@ -93,7 +95,7 @@ class LinearNN(ClassificationModel):
):
super().__init__(input_shape=input_shape, output_shape=output_shape, learning_rate=learning_rate, **kwargs)
self.save_hyperparameters("learning_rate", "n_neurons")
self.nn = torch.Sequential(
self.nn = torch.nn.Sequential(
torch.nn.Flatten(),
torch.nn.LazyLinear(n_neurons),
torch.nn.ReLU(),
Expand All @@ -107,7 +109,7 @@ class LinearNN(ClassificationModel):
def output_size(self):
return int(np.prod(self.output_shape))

datamodule = DataModule.from_dataset_name("Digits2D")
datamodule = DataModule.from_dataset_name("Digits2D", fold_id=0)
automl_pipeline = AutoMLPipeline(model_cls=LinearNN, datamodule=datamodule)
automl_pipeline.run()
lt_pipeline, metrics = automl_pipeline.run_best_pipeline()
Expand Down
4 changes: 2 additions & 2 deletions src/matchcake_opt/tr_pipeline/automl_pipeline.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,8 +19,8 @@

class AutoMLPipeline:
DEFAULT_AUTOML_ITERATIONS = 32
DEFAULT_INNER_MAX_EPOCHS = 10_000
DEFAULT_INNER_MAX_TIME = "90:00:00:00"
DEFAULT_INNER_MAX_EPOCHS = 1024
DEFAULT_INNER_MAX_TIME = "00:01:00:00"
DEFAULT_AUTOML_OVERWRITE_FIT = False

@classmethod
Expand Down