lazyforecast 0.0.0

LazyForecast is a Python library for performing univariate time series analysis using a lazy forecasting approach. This approach is designed to provide quick and simple forecasting models without requiring extensive configuration or parameter tuning.

LazyForecast

LazyForecast is a Python library for performing univariate time series analysis using a lazy forecasting approach. This approach is designed to provide quick and simple forecasting models without requiring extensive configuration or parameter tuning.

Features

• LazyForecasting automatically selects the best model based on the characteristics of the input time series.
• It supports univariate time series analysis.
• LazyForecasting provides functions for data preprocessing, model training, forecasting, and evaluation.
• It includes various popular forecasting models such as Auto ARIMA, Vanilla LSTM, and RNN.