Bayesian anti-spam classifier written in Python.
Project description
# AntiSpam
[![downloads](https://img.shields.io/pypi/dm/antispam.svg)](https://pypi.python.org/pypi/antispam/)
[![version](https://img.shields.io/pypi/v/antispam.svg?label=version)](https://pypi.python.org/pypi/antispam/)
[![supported](https://img.shields.io/pypi/pyversions/antispam.svg)](https://pypi.python.org/pypi/antispam/)
[![license](https://img.shields.io/pypi/l/antispam.svg)](https://opensource.org/licenses/MIT)
Bayesian anti-spam classifier written in Python.
PyPI: [pypi.python.org/pypi/antispam](https://pypi.python.org/pypi/antispam)
# Installation
```
pip install antispam
```
# Usage
Use the built-in model provided & trained by author:
```python
import antispam
antispam.score("Cheap shoes for sale at DSW shoe store!")
# => 0.9657724517163143
antispam.is_spam("Cheap shoes for sale at DSW shoe store!")
# => True
antispam.score("Hi mark could you please send me a copy of your machine learning homework? thanks")
# => 0.0008064840568731558
antispam.is_spam("Hi mark could you please send me a copy of your machine learning homework? thanks")
# => False
```
Train your own modle:
```python
import antispam
d = antispam.Detector("my_model.dat")
d.train("Super cheap octocats for sale at GitHub.", True)
d.train("Hi John, could you please come to my office by 3pm? Ding", False)
msg1 = "Cheap shoes for sale at DSW shoe store!"
d.score(msg1)
# => 0.9999947825633266
d.is_spam(msg1)
# => True
msg2 = "Hi mark could you please send me a copy of your machine learning homework? thanks"
d.score(msg2)
# => 4.021280114849398e-08
d.is_spam(msg2)
# => False
```
Save your model:
```python
d.save()
```
##License
[MIT Licenses](https://opensource.org/licenses/MIT)
[![downloads](https://img.shields.io/pypi/dm/antispam.svg)](https://pypi.python.org/pypi/antispam/)
[![version](https://img.shields.io/pypi/v/antispam.svg?label=version)](https://pypi.python.org/pypi/antispam/)
[![supported](https://img.shields.io/pypi/pyversions/antispam.svg)](https://pypi.python.org/pypi/antispam/)
[![license](https://img.shields.io/pypi/l/antispam.svg)](https://opensource.org/licenses/MIT)
Bayesian anti-spam classifier written in Python.
PyPI: [pypi.python.org/pypi/antispam](https://pypi.python.org/pypi/antispam)
# Installation
```
pip install antispam
```
# Usage
Use the built-in model provided & trained by author:
```python
import antispam
antispam.score("Cheap shoes for sale at DSW shoe store!")
# => 0.9657724517163143
antispam.is_spam("Cheap shoes for sale at DSW shoe store!")
# => True
antispam.score("Hi mark could you please send me a copy of your machine learning homework? thanks")
# => 0.0008064840568731558
antispam.is_spam("Hi mark could you please send me a copy of your machine learning homework? thanks")
# => False
```
Train your own modle:
```python
import antispam
d = antispam.Detector("my_model.dat")
d.train("Super cheap octocats for sale at GitHub.", True)
d.train("Hi John, could you please come to my office by 3pm? Ding", False)
msg1 = "Cheap shoes for sale at DSW shoe store!"
d.score(msg1)
# => 0.9999947825633266
d.is_spam(msg1)
# => True
msg2 = "Hi mark could you please send me a copy of your machine learning homework? thanks"
d.score(msg2)
# => 4.021280114849398e-08
d.is_spam(msg2)
# => False
```
Save your model:
```python
d.save()
```
##License
[MIT Licenses](https://opensource.org/licenses/MIT)
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