Metadata-Version: 2.1
Name: pypredictor
Version: 0.1.0
Summary: The Python library that makes AI predictions simple.
Home-page: UNKNOWN
Author: codingboy_CW (Hamd Waseem)
Author-email: codingboy.cw@gmail.com
License: Apache-2.0
Keywords: python,prediction,ai
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tensorflow
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: seaborn


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    <source media="(prefers-color-scheme: dark)" srcset="https://github.com/hamdivazim/pypredictor/raw/main/logo_dark.png">
    <img src="https://github.com/hamdivazim/pypredictor/raw/main/logo.png" alt="pypredictor logo">
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# pypredictor
<p>
  <img src="https://img.shields.io/badge/Python-3.8 | 3.9 | 3.10 | 3.11 -blue.svg" alt="py versions">
  <img src="https://img.shields.io/badge/PyPi package-0.1.0-green.svg" alt="pypi version">
  <img src="https://img.shields.io/badge/License-Apache License 2.0-green.svg" alt="license">
  <img src="https://img.shields.io/badge/Libraries-tensorflow | numpy | seaborn | pandas-green.svg" alt="libs">
</p>

The Python library that makes AI predictions simple.

### View the [GitHub Page](https://github.com/hamdivazim/pypredictor)

## What can it do?
pypredictor uses an RNN (Recurrent Neural Network) to predict the next n numbers in a sequence. As an example, using this code:
```python
pred = NumPredictor(500)
print(pred.predict([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 5, 3))
```
pypredictor generated the following output, which is quite accurate:
```
[10.969043, 11.950292, 12.920968, 13.859894, 14.789316]
```
pypredictor also has the ability to generate a pandas DataFrame and a seaborn line graph, from an initial sequence/DataFrame which you provide.
###
Plus, there are examples in the `examples/` directory, so you can take a look for yourself :)

## How to install
Install via pip:
```
$ pip install pypredictor
```
To get examples, clone this repository and enter `pypredictor/examples`:
```
$ git clone https://github.com/hamdivazim/pypredictor.git
$ cd pypredictor/examples
```
anaconda support hopefully coming soon!

## License
pypredictor is licensed by Hamd Waseem (codingboy_CW) under [the Apache License 2.0](https://github.com/hamdivazim/pypredictor/blob/main/LICENSE).



