/pylytic

Data analytics using python

Primary LanguagePythonApache License 2.0Apache-2.0

README

Data analytics using python

Installation

...

Used libraries and styles

Code style: black

Supported Analytics

  • Forecast
  • Clustering
  • Anomaly Detection
  • Classification

Usage

Natively in python

Example:

import pylytic

df = ...

res = pylytic.process(
    df=df,
    analytic='forecast',
    timeseries_columns=['date'],
    # optional kwargs:
    n_predictions=6,  # num of forecasts to make
    model = '<name of model>',
    ...
)

print(res.error.mae)
print(res.df_pred)

As a Service

TODO

Authors

Johannes Schöck

Building the project

  • Uses build package: pip install build
  • Invoke build: python -m build