TRAILED: Topological Regularization and Integrity Learning for EHR Data
Note: TRAILED is under active development. The current release provides the foundational ECT implementation. Healthcare-specific methods are in progress.
Topological representation learning for Electronic Health Record (EHR) data. Built on the differentiable Euler Characteristic Transform (ECT).
Installation
uv pip install trailed
# Optional extras
uv pip install trailed[sklearn] # scikit-learn transformers
uv pip install trailed[dataframe] # pandas/polars support
uv pip install trailed[all] # all dependencies
Quick Start
from trailed import compute_ect_from_numpy
ect = compute_ect_from_numpy(points, num_thetas=32, resolution=32)
import polars as pl
from trailed.tabular import compute_ect_from_polars
df = pl.DataFrame({"x": [0.1, 0.2, 0.3], "y": [0.1, 0.3, 0.2], "group": [0, 0, 1]})
ect = compute_ect_from_polars(df, coord_columns=["x", "y"], group_column="group")
import pandas as pd
from trailed.tabular import compute_ect_from_pandas
df = pd.DataFrame({"x": [0.1, 0.2, 0.3], "y": [0.1, 0.3, 0.2], "group": [0, 0, 1]})
ect = compute_ect_from_pandas(df, coord_columns=["x", "y"], group_column="group")
Documentation
Full documentation: krv-analytics.github.io/trailed
Acknowledgment
This project builds on the original dect implementation and accompanying research.
@inproceedings{Roell24a,
title = {Differentiable Euler Characteristic Transforms for Shape Classification},
author = {Ernst R{\"o}ell and Bastian Rieck},
year = 2024,
booktitle = {International Conference on Learning Representations},
eprint = {2310.07630},
archiveprefix = {arXiv},
primaryclass = {cs.LG},
repository = {https://github.com/aidos-lab/dect-evaluation},
url = {https://openreview.net/forum?id=MO632iPq3I},
}
Metadata
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| trailed-0.1.3.tar.gz | 666.1 kB | With provenance | Details |
Built distributions (wheels)
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| trailed-0.1.3-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| trailed-0.1.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| trailed-0.1.3-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| trailed-0.1.3-cp310-abi3-macosx_11_0_arm64.whl | CPython 3.10 | abi3 | macOS 11.0+ ARM64 | Details |
| trailed-0.1.3-cp310-abi3-macosx_10_12_x86_64.whl | CPython 3.10 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 2.9 MB
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