AutoResume
AutoResume is a crash-safe, resume-safe ML model runner.
It allows you to run many models sequentially and automatically resumes from the first unfinished model if your Python session crashes.
Example
from autoresume import AutoResume
runner = AutoResume("lstm_experiment")
models = [lstm1, lstm2, lstm3]
def train(model):
model.fit(X_train, y_train, epochs=20)
return model.evaluate(X_test, y_test)
runner.run(models, train)
If your script crashes during model 2, AutoResume will resume at model 2.
MIT License
Copyright (c) 2025 Tej Gorde
1 maintainer
Metadata
1 maintainer
Release files for autoresume 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| autoresume-0.1.3.tar.gz | 2.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autoresume-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 kB
Release files / autoresume-0.1.3.tar.gz
| Download URL | autoresume-0.1.3.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.5
|
Release files / autoresume-0.1.3-py3-none-any.whl
| Download URL | autoresume-0.1.3-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.5
|
Security for autoresume 0.1.3
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