semvec/pypi-packages huggingface dataset:
spdt 0.0.2
Exploring streaming options for decision tree classifiers
License: MIT

# Streaming Decision Trees & Forests

[![Python](https://img.shields.io/badge/python-3.8-blue.svg)]()
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![License](https://img.shields.io/badge/License-MIT-blue)](https://opensource.org/licenses/MIT)

## Relevant Repos

- [huawei-noah/streamDM](https://github.com/huawei-noah/streamDM)
- [soundcloud/spdt](https://github.com/soundcloud/spdt)
- [online-ml/river](https://github.com/online-ml/river)
- [scikit-garden/scikit-garden](https://github.com/scikit-garden/scikit-garden)

## Relevant Papers

- [Very Fast Decision Tree](https://dl.acm.org/doi/10.1145/347090.347107)
- [Online Bagging and Boosting](https://ieeexplore.ieee.org/document/1571498)
- [Leveraging Bagging for Evolving Data Streams](https://link.springer.com/chapter/10.1007/978-3-642-15880-3_15)
- [Ensemble Learning for Data Stream Classification](https://dl.acm.org/doi/10.1145/3054925)
- [Adaptive Random Forests](https://link.springer.com/article/10.1007/s10994-017-5642-8)
- [Streaming Random Forests](https://ieeexplore.ieee.org/document/4318108)
- [Streaming Parallel Decision Tree](https://www.jmlr.org/papers/v11/ben-haim10a.html)
- [Mondrian Forests](https://papers.nips.cc/paper/5234-mondrian-forests-efficient-online-random-forests.pdf)
xpore 2.1
xpore is a python package for Nanopore data analysis of differential RNA modifications.
License: MIT
Requires Python: >=3.8

![alt text](https://github.com/GoekeLab/xpore/blob/master/figures/xpore_textlogo.png "xPore")



[![PyPI version](https://badge.fury.io/py/xpore.svg)](https://badge.fury.io/py/xpore)
[![Documentation Status](https://readthedocs.org/projects/xpore/badge/?version=latest)](https://xpore.readthedocs.io/en/latest/?badge=latest)
[![Downloads](https://pepy.tech/badge/xpore)](https://pepy.tech/project/xpore)


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xPore is a Python package for identification and quantification of differential RNA modifications from direct RNA sequencing. 


### Installation

xPore requires [Python3](https://www.python.org).
To install the latest release with PyPI (recommended), run

```sh
$ pip install xpore 
```
---

### Documentation

Please refer to our xPore documentation ([https://xpore.readthedocs.io](https://xpore.readthedocs.io)) for additional information, a quick start guide, and details on the data processing and output file format.

xPore is described in details in [Pratanwanich et al. *Nat Biotechnol* (2021)](https://doi.org/10.1038/s41587-021-00949-w)

---

### Release History

The current release is xPore v2.1. 

Please refer to the github release history for previous releases: https://github.com/GoekeLab/xpore/releases

---

### Citing xPore

If you use xPore in your research, please cite 

Ploy N. Pratanwanich, et al. Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore. *Nat Biotechnol* (2021), [https://doi.org/10.1038/s41587-021-00949-w](https://doi.org/10.1038/s41587-021-00949-w).

---

### Getting Help

We appreciate your feedback and questions! You can report any error or suggestion related to xPore as an [issue on github](https://github.com/GoekeLab/xpore/issues). If you have questions related to the manuscript, data, or any general comment or suggestion please use the [Discussions](https://github.com/GoekeLab/xpore/discussions).

Thank you!

---

### Contact
xPore is maintained by [Ploy N. Pratanwanich](https://github.com/ploy-np), [Yuk Kei Wan](https://github.com/yuukiiwa) and [Jonathan Goeke](https://github.com/jonathangoeke) from the Genome Institute of Singapore, A\*STAR.