Python bindings for the Ensmallen library.

Project description

`pyensmallen`: python bindings for the `ensmallen` library for numerical optimization

Very minimal python bindings for ensmallen library. Currently supports

L-BFGS, with intended use for optimisation of smooth objectives for m-estimation
ADAM (and variants with different step-size routines) - makes use of ensmallen's templatization.
Frank-Wolfe, with intended use for constrained optimization of smooth losses
- constraints are either lp-ball (lasso, ridge, elastic-net) or simplex

Installation:

from pypi

pip install pyensmallen

from source

Install armadillo and ensmallen for your system (build from source, or via conda-forge; I went with the latter)
git clone this repository
pip install -e .
Profit? Or at least minimize loss?

from wheel

download the appropriate .whl for your system from the more recent release listed in Releases and run pip install ./pyensmallen... OR
copy the download url and run pip install https://github.com/apoorvalal/pyensmallen/releases/download/<version>/pyensmallen-<version>-<pyversion>-linux_x86_64.whl

Project details

Release history Release notifications | RSS feed

This version

0.0.3

Nov 18, 2024

0.0.2

Nov 12, 2024

0.0.1

Nov 11, 2024

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pyensmallen-0.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.8 MB view details)

Uploaded Nov 18, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

pyensmallen-0.0.3-cp312-cp312-macosx_11_0_arm64.whl (8.8 MB view details)

Uploaded Nov 18, 2024 CPython 3.12 macOS 11.0+ ARM64

pyensmallen-0.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.8 MB view details)

Uploaded Nov 18, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

pyensmallen-0.0.3-cp311-cp311-macosx_11_0_arm64.whl (8.8 MB view details)

Uploaded Nov 18, 2024 CPython 3.11 macOS 11.0+ ARM64

pyensmallen-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.8 MB view details)

Uploaded Nov 18, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

pyensmallen-0.0.3-cp310-cp310-macosx_11_0_arm64.whl (8.8 MB view details)

Uploaded Nov 18, 2024 CPython 3.10 macOS 11.0+ ARM64

File details

Details for the file pyensmallen-0.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: pyensmallen-0.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Nov 18, 2024
Size: 14.8 MB
Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pyensmallen-0.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`e162b7b17ba7f68731ae82a298683629c976e51c36c8768fd27fd437a63b2c0a`
MD5	`30f361632722a07e3ffb52bccbf14a4a`
BLAKE2b-256	`67f1969c1829e63f052ba86255abbe4fb7b21808e930ff9cac9271e0d96c5b19`

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyensmallen-0.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: build.yml on apoorvalal/pyensmallen

Attestations:

Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pyensmallen-0.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
- Subject digest: e162b7b17ba7f68731ae82a298683629c976e51c36c8768fd27fd437a63b2c0a
- Sigstore transparency entry: 149457277
- Sigstore integration time: Nov 18, 2024

File details

Details for the file pyensmallen-0.0.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

Download URL: pyensmallen-0.0.3-cp312-cp312-macosx_11_0_arm64.whl
Upload date: Nov 18, 2024
Size: 8.8 MB
Tags: CPython 3.12, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pyensmallen-0.0.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`b7ed3e84ee9a9b680f6b88cf0db3662750c4db301c0e4f1c69a6643225be971d`
MD5	`1b3c32db3180df340df8a2f502785627`
BLAKE2b-256	`685dd8fb34144dded0f417ca60484933464b248ead17357a5c52fe8d3069210a`

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyensmallen-0.0.3-cp312-cp312-macosx_11_0_arm64.whl:

Publisher: build.yml on apoorvalal/pyensmallen

Attestations:

Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pyensmallen-0.0.3-cp312-cp312-macosx_11_0_arm64.whl
- Subject digest: b7ed3e84ee9a9b680f6b88cf0db3662750c4db301c0e4f1c69a6643225be971d
- Sigstore transparency entry: 149457258
- Sigstore integration time: Nov 18, 2024

File details

Details for the file pyensmallen-0.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: pyensmallen-0.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Nov 18, 2024
Size: 14.8 MB
Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pyensmallen-0.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d9c6c137be1a39469aa4d996ec58a8bc42a7c4c70ba406100ee0cc4b658814dd`
MD5	`5ae0b2deb5b0661f4cb96863a7d64df6`
BLAKE2b-256	`c03175127398b20477c5dd5d4bb5ecbcbcc08daa079f23c936ca70c1c53b1412`

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyensmallen-0.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: build.yml on apoorvalal/pyensmallen

Attestations:

Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pyensmallen-0.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
- Subject digest: d9c6c137be1a39469aa4d996ec58a8bc42a7c4c70ba406100ee0cc4b658814dd
- Sigstore transparency entry: 149457264
- Sigstore integration time: Nov 18, 2024

File details

Details for the file pyensmallen-0.0.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

Download URL: pyensmallen-0.0.3-cp311-cp311-macosx_11_0_arm64.whl
Upload date: Nov 18, 2024
Size: 8.8 MB
Tags: CPython 3.11, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pyensmallen-0.0.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`21f4d49f298078906d5e6f0408402f3714ca8c763d6034c576b3e13290f0b1fd`
MD5	`c234506ec8f188814fc025f32a533e93`
BLAKE2b-256	`c454acb825c01d246ff5de1e01a84b3f35ceba2826d9af540af158e155b15070`

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyensmallen-0.0.3-cp311-cp311-macosx_11_0_arm64.whl:

Publisher: build.yml on apoorvalal/pyensmallen

Attestations:

Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pyensmallen-0.0.3-cp311-cp311-macosx_11_0_arm64.whl
- Subject digest: 21f4d49f298078906d5e6f0408402f3714ca8c763d6034c576b3e13290f0b1fd
- Sigstore transparency entry: 149457273
- Sigstore integration time: Nov 18, 2024

File details

Details for the file pyensmallen-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: pyensmallen-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Nov 18, 2024
Size: 14.8 MB
Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pyensmallen-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`f4f627b1bbd09f12f47bd1d23a831770f2c8cd6a9c0a5a4d6c9dbc26f835d163`
MD5	`e6c74b06978cd3ce17f2b8b1cdfa0475`
BLAKE2b-256	`a5ea35d278e03ae0679347ecd79cdae028ea59988b50a7ed65535b23f13afafe`

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyensmallen-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: build.yml on apoorvalal/pyensmallen

Attestations:

Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pyensmallen-0.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
- Subject digest: f4f627b1bbd09f12f47bd1d23a831770f2c8cd6a9c0a5a4d6c9dbc26f835d163
- Sigstore transparency entry: 149457268
- Sigstore integration time: Nov 18, 2024

File details

Details for the file pyensmallen-0.0.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

Download URL: pyensmallen-0.0.3-cp310-cp310-macosx_11_0_arm64.whl
Upload date: Nov 18, 2024
Size: 8.8 MB
Tags: CPython 3.10, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pyensmallen-0.0.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`cd78cdb4c00d5044a9c9649da4cc4db683a5a4ddbd1ee0e9fe54dbef52e39968`
MD5	`23b113e2d6c33e2d45f6e4c7b67a1e91`
BLAKE2b-256	`94fc68315f2eb15898f76d7cc1cbde6414b565d99bfbefa66588ff2a08e764f6`

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyensmallen-0.0.3-cp310-cp310-macosx_11_0_arm64.whl:

Publisher: build.yml on apoorvalal/pyensmallen

Attestations:

Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pyensmallen-0.0.3-cp310-cp310-macosx_11_0_arm64.whl
- Subject digest: cd78cdb4c00d5044a9c9649da4cc4db683a5a4ddbd1ee0e9fe54dbef52e39968
- Sigstore transparency entry: 149457261
- Sigstore integration time: Nov 18, 2024