raptorarima 0.0.3

Implementation of ARIMA model (Auto Regressive Integrated Moving Average)

Raptor ARIMA Model Python API

• This API Supports to model time series data using box-jenkins model.

Python Installation:

• Command for installation: 'pip3 install raptorarima'

Usage

The ARIMA Model is an implementation from scratch which using MA, AR and differencing to model the Data.

Define the p,d,q parameters.
q = 1
d = 0
p = 3

m = ARIMA(q, d, p)
pred = m.fit_predict(x)

Installation

git clone https://github.com/swaroop9ai9/Fintech/raptor_arima_api.git
cd raptor arima
python setup.py install

Requirements

• pandas
• numpy
• random

Note

Make sure to use Time series Data Values.

Steps to create pip package

1. Prepare directory with setup.py, packagename(apiname(init.py[with main code]),other py files which supports the init.py file.)
2. Upload the package to Git
3. cd packagename
4. chmod +x apiname #makes it an executable
5. python3 setup.py bdist_wheel [

• build: build package information.
• dist: Contains your .whl file. A WHL file is a package saved in the Wheel format, which is the standard built-package format used for Python distributions. You can directly install a .whl file using pip install some_package.whl on your system
• project.egg.info: An egg package contains compiled bytecode, package information, dependency links, and captures the info used by the setup.py test command when running tests.]

6. [Optional] to check install on local machine python -m pip install dist/packagename-0.1-py3-none-any.whl

7. python3 -m twine upload dist/* [in order to upload the package] (Will ask your username and password in pypi)

8. Login to pypi account to view the uploaded package