Keras Ding
Keras callback for playing a sound when training is complete. The callbacks additionally works also within jupyter notebook, so that if you are working on a notebook on a remote machine it plays the audio within your browser and not in the server.
How do I install this package?
You will need a couple packages that you might not already have installed:
sudo apt install python3-dev
sudo apt install libasound2-dev
Finally as usual, just download it using pip:
pip install keras_ding
Usage examples
So suppose you have your Keras model my_keras_model and you want to hear a sound when it is done training. Here you go:
from keras_ding import KerasDing
my_keras_model.fit(
x, y,
callbacks=[
KerasDing()
]
)
What abount a custom sound? Just pass it as an argument.
from keras_ding import KerasDing
my_keras_model.fit(
x, y,
callbacks=[
KerasDing(path="my_custom_sound.mp3")
]
)
Metadata
Release files for keras-ding 1.0.6
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 | Actions |
|---|---|---|---|---|
| keras_ding-1.0.6.tar.gz | 1.6 MB | Without provenance | Details for keras_ding-1.0.6.tar.gz |
Release files / keras_ding-1.0.6.tar.gz
| Download URL | keras_ding-1.0.6.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0d07c6956def16aaac0adc8ce72bbbfdaed70950d1c4e35e830eefae49109ce1
|
|
BLAKE2b-256 checksum How to use checksums |
45161085b1df193d08750ff90b063305f39d9d6723ea87b2ff7f522c31a3858e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.9
|
Security for keras-ding 1.0.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.