dml-rs (Python)
Fast double / debiased machine learning for causal inference, implemented in Rust and validated against DoubleML.
pip install dml-rs
import dml_rs
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
# Partially linear regression with any scikit-learn learners
plr = dml_rs.PLR(ml_l=RandomForestRegressor(), ml_m=RandomForestRegressor(), n_folds=5, n_rep=3)
plr.fit(X, y, d)
print(plr.summary)
# Built-in Rust learners run the whole cross-fitting in parallel without the GIL
plr = dml_rs.PLR(ml_l=dml_rs.Lasso(alpha=0.01), ml_m=dml_rs.Lasso(alpha=0.01)).fit(X, y, d)
# Average treatment effect of a binary treatment
irm = dml_rs.IRM(ml_g=RandomForestRegressor(), ml_m=RandomForestClassifier(), score="ATE").fit(X, y, d)
# Joint inference over several treatments
plr.bootstrap(method="normal", n_boot=1000)
plr.confint(joint=True)
plr.p_adjust("romano-wolf")
See the repository for details.
1 maintainer
Metadata
1 maintainer
Release files for dml-rs 0.4.0
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 | |
|---|---|---|---|---|
| dml_rs-0.4.0.tar.gz | 99.0 kB | With provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| dml_rs-0.4.0-cp39-abi3-win_amd64.whl | CPython 3.9 | abi3 | Windows x86-64 | Details |
| dml_rs-0.4.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| dml_rs-0.4.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| dml_rs-0.4.0-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details |
| dml_rs-0.4.0-cp39-abi3-macosx_10_12_x86_64.whl | CPython 3.9 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 3.6 MB
Release files / dml_rs-0.4.0.tar.gz
| Download URL | dml_rs-0.4.0.tar.gz |
|---|---|
| Size | 99.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
320fe4036d7a58289de948f7829592f36d7fbba055c2bd4c907d911b6a0e4743
|
|
BLAKE2b-256 checksum How to use checksums |
289c49d0ed46aa577491e2575111028b79f889dcaaf400c71b93e2a8b78d977b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 23, 2026.
Transparency logRelease files / dml_rs-0.4.0-cp39-abi3-win_amd64.whl
| Download URL | dml_rs-0.4.0-cp39-abi3-win_amd64.whl |
|---|---|
| Size | 586.2 kB |
| Tags | CPython 3.9 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
cfde778c432e8b729200f7ffd5e5cf967cbd02326c2f6133fc58936e482e95cf
|
|
BLAKE2b-256 checksum How to use checksums |
987159bd9580352657ace8c72fbf1f6be24a6bcd973baf845ccc355c493ae1ea
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 23, 2026.
Transparency logRelease files / dml_rs-0.4.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | dml_rs-0.4.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 770.1 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
34943d704976a3a7ebbb58925c5fe1c0bc8270630e91ecc0127e438969261be4
|
|
BLAKE2b-256 checksum How to use checksums |
cc6c4e5b9ed145bd962031285e88658f3831f3eab47d062ca0f18429b56dc900
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 23, 2026.
Transparency logRelease files / dml_rs-0.4.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | dml_rs-0.4.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 729.5 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
09ce3e719569cdc915f19267f2f9efd9a8d1168734a76f96d2a8c55b653d3d2d
|
|
BLAKE2b-256 checksum How to use checksums |
c9cab738b3f9661b8729df325af0dd31ce4d096b451426de7fd01d447eb56a67
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 23, 2026.
Transparency logRelease files / dml_rs-0.4.0-cp39-abi3-macosx_11_0_arm64.whl
| Download URL | dml_rs-0.4.0-cp39-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 666.3 kB |
| Tags | CPython 3.9 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
57cc3f90f25c0e896df02253b87a3fe7d2d0f05134ad5251eff4f25a0d1591e1
|
|
BLAKE2b-256 checksum How to use checksums |
85e9ea63a6bc78a050130dd679299eb909d3507fe5c086213f6ff9d45c8891a7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 23, 2026.
Transparency logRelease files / dml_rs-0.4.0-cp39-abi3-macosx_10_12_x86_64.whl
| Download URL | dml_rs-0.4.0-cp39-abi3-macosx_10_12_x86_64.whl |
|---|---|
| Size | 707.2 kB |
| Tags | CPython 3.9 abi3 macOS 10.12+ x86-64 |
|
SHA-256 checksum How to use checksums |
6f91fedb1bf1ba6ff9820282901d8b05aef5c2117979309c64a3e4d45dd9039e
|
|
BLAKE2b-256 checksum How to use checksums |
d9dbc55a94bc909ab8f72c532aa03415b10f840f0c4753572cf73c65d5cd5b91
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 23, 2026.
Transparency logSecurity for dml-rs 0.4.0
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.
Full provenance
All 6 files in this release have been uploaded with provenance metadata.
Attestation for dml_rs-0.4.0.tar.gz
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 Oct 23, 2026.
Transparency logA 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.
