Metadata-Version: 2.1
Name: skquantreg
Version: 0.0.4
Summary: Scikit wrapper for quantreg
Home-page: https://github.com/Marco-Santoni/skquantreg
Author: Marco Santoni
Author-email: marcosantoni@hotmail.it
License: BSD
Download-URL: https://github.com/Marco-Santoni/skquantreg/tarball/0.0.4
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Requires-Dist: nose
Requires-Dist: coverage
Requires-Dist: twine
Requires-Dist: scikit-learn
Requires-Dist: statsmodels
Requires-Dist: scipy

Scikit wrapper for quantreg
============================

Scikit wrapper for quantreg

Installation / Usage
----------------------------

To install use pip:

```
$ pip install skquantreg
```

Or clone the repo:

```
    $ git clone https://github.com/Marco-Santoni/skquantreg.git
    $ python setup.py install
```

Usage:

```
from skquantreg import QuantileRegressor
import numpy as np


X = np.random.rand(10,2)
y = np.random.rand(10)
X_test = np.random.rand(5,2)

model = QuantileRegressor(q=0.5)
model.fit(X, y)
model.predict(X_test)
```


