PyPI 官网下载 | dsawl-0.0.1.tar.gz

[](https://travis-ci.org/Nikolay-Lysenko/dsawl) [](https://codecov.io/gh/Nikolay-Lysenko/dsawl) [](https://codeclimate.com/github/Nikolay-Lysenko/dsawl/maintainability) # dsawl ## What is it? This is a set of tools for machine learning. As of now, the provided utilities look as follows: Subject | Description | Docs :-----: | :---------: | :--: Active Learning | Highly-modular system that recommends which previously unlabelled examples should be labelled in order to increase model quality quickly and significantly. Special features: various options for both exploitation and exploration. | [Read more](https://github.com/Nikolay-Lysenko/dsawl/blob/master/docs/active_learning_demo.ipynb) Stacking | A method that applies machine learning algorithm to out-of-fold predictions or transformations made by other machine learning models. Special features: support of any `sklearn`-compatible estimators (in particular, pipelines). | [Read more](https://github.com/Nikolay-Lysenko/dsawl/blob/master/docs/stacking_demo.ipynb) Target Encoding | An alternative to one-hot encoding and hashing trick that attempts to have both memory efficiency and incorporation of all useful information from initial features. Special features: `sklearn`-compatible wrapper that can transform data out-of-fold and apply an estimator to the result.| [Read more](https://github.com/Nikolay-Lysenko/dsawl/blob/master/docs/target_encoding_demo.ipynb) Repository name is a combination of three words: DS, saw, and awl. DS is as an abbreviation for Data Science and the latter two words represent useful tools. ## How to install the package? The package is compatible with Python 3.5 or newer. A virtual environment where it is guaranteed that the package works can be created based on [the file](https://github.com/Nikolay-Lysenko/dsawl/blob/master/requirements.txt) named `requirements.txt`. To install a stable release of the package, run this command: ``` pip install dsawl ``` To install the latest version from sources, execute this from your terminal: ``` cd path/to/your/destination git clone https://github.com/Nikolay-Lysenko/dsawl cd dsawl pip install -e . ``` If you have any troubles with installation, your questions are welcome.