Skip to main content

opake-dpftrl

Matrix-factorization noise mechanisms for Opake: BLT, BSR, BiSR, band-MF, lambda-CGD, identity — plus the MF-specific participation samplers (b-min-separation, Poisson, balls-in-bins, sequential batches). Functional optimizers (including the universal adamw that consumes private noisy_squared_grads streams) live in opake.optimizers.

Install

Install the root package as described in the repository installation guide, using its dpftrl extra to include this component.

Quick start

from opake.random import key
from opake.dpftrl.noise import mf_gaussian_noise, blt_strategy
from opake.dpftrl.sampling import BMinSepSampler

Layout

  • opake.dpftrl.noise — strategies (band-MF, BLT, BSR, BiSR, identity, lambda-CGD) + dispatchers
  • opake.dpftrl.clipping — MF-safe clipped_grad, auto_clipped_grad, per_group
  • opake.dpftrl.sampling — BMinSepSampler, CyclicPoissonSampler, BallsInBinsSampler, SequentialBatchSampler

Shared clipping implementation and other cross-cutting primitives live in opake-engine.

Metadata

Release files for opake-dpftrl 0.16.0

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

Built distribution (wheel)

Table of built distributions (wheels) for opake-dpftrl 0.16.0
File Interpreter ABI Platform
opake_dpftrl-0.16.0-py3-none-any.whl Python 3 none any Details

Release files / opake_dpftrl-0.16.0-py3-none-any.whl

Download URL opake_dpftrl-0.16.0-py3-none-any.whl
Size 119.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4cbea14c4b8cdadd9d481f623c6937732e37fb8fc21a6df099be53b9e493d34b
BLAKE2b-256 checksum
How to use checksums
47b3e36342d3d8db406eab520ed4d1844abc630b537224f2ab899675c03f8ddc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 23, 2026.

Transparency log

Release history Release notifications | RSS feed

0.16.1

1 release file

This release

0.16.0 This release

1 release file

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