Skip to main content

# lr_analyzer

This is a program designed to test learning rates on Keras/tf.keras neural network models.

Metadata

Release files for lr-analayzer 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lr-analayzer 0.0.1
File Size Uploaded Provenance Actions
lr_analayzer-0.0.1.tar.gz 1.8 kB Without provenance Details for lr_analayzer-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for lr-analayzer 0.0.1
File Interpreter ABI Platform Actions
lr_analayzer-0.0.1-py3-none-any.whl Python 3 none any Details for lr_analayzer-0.0.1-py3-none-any.whl

Total release size: 4.0 kB

Release files / lr_analayzer-0.0.1.tar.gz

Download URL lr_analayzer-0.0.1.tar.gz
Size 1.8 kB
Tags Source
SHA-256 checksum
How to use checksums
210687ef4bbe6ace1ae8d8de7da34d47a300fbf6cdf6bba913cade6d21e6770d
BLAKE2b-256 checksum
How to use checksums
adbc3136705e3fe8c92025ecf05ec862d73e3f8b2108dcbdf59a08d7e3a5ad4b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.5

Release files / lr_analayzer-0.0.1-py3-none-any.whl

Download URL lr_analayzer-0.0.1-py3-none-any.whl
Size 2.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6af6367b410075c5fd1965cb765c33784ba4f0f5320b577aaf98f44fbcafacbb
BLAKE2b-256 checksum
How to use checksums
5986bfd932ca4a9688ebdc5c8fb9083f26964489d80c60e628aa42be6f97c47b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.5

Security for lr-analayzer 0.0.1

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.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page