retail_wide

A dataset containing 42 products' sales

datasets

Conformal time series forecasting using the caret infrastructure.
It provides access to state-of-the-art machine learning models for forecasting
applications. The hyperparameter of each model is selected based on time
series cross-validation, and forecasting is done recursively.

Resul Akay

caretForecast

Conformal Time Series Forecasting Using State of Art Machine
Learning Algorithms

retail_wide function

An object of class mts (inherits from ts, matrix)
with 333 rows and 43 columns.<dl>
This data set is the wide format of retail data.</dl>

Format

Sales data from an Australian Retailer in time series format — retail_wide

An object of class mts (inherits from ts, matrix)
with 333 rows and 43 columns.<dl>
This data set is the wide format of retail data.

</dl>

retail_wide: Sales data from an Australian Retailer in time series format

Description

Usage

Arguments

Format