m5-package

<p>Contains functions, which facilitate downloading, loading and preparing data
from 'M5 Forecasting' challenges (by 'University of Nicosia', hosted on 'Kaggle').
The data itself is set of time series of different product sales in 'Walmart'.
The package also includes a ready-to-use built-in M5 subset named <code>tiny_m5</code>.
For detailed information about the challenges, see:
Makridakis, Spyros &amp; Spiliotis, Evangelos &amp; Assimakopoulos, Vassilis. (2020).
The M5 Accuracy competition: Results, findings and conclusions. <a href="/link/doi%3A10.1016%2Fj.ijforecast.2021.10.009?package=m5&version=0.1.1" data-mini-rdoc="m5::doi:10.1016/j.ijforecast.2021.10.009">doi:10.1016/j.ijforecast.2021.10.009</a></p>

package

internal

Contains functions, which facilitate downloading, loading and preparing data from 'M5 Forecasting' challenges (by 'University of Nicosia', hosted on 'Kaggle').
The data itself is set of time series of different product sales in 'Walmart'.
The package also includes a ready-to-use built-in M5 subset named 'tiny_m5'.
For detailed information about the challenges, see:
Makridakis, S. & Spiliotis, E. & Assimakopoulos, V. (2020). <doi:10.1016/j.ijforecast.2021.10.009>.

Krzysztof Joachimiak

'M5 Forecasting' Challenges Data

m5-package function

Author

<p>Contains functions, which facilitate downloading, loading and preparing data
from 'M5 Forecasting' challenges (by 'University of Nicosia', hosted on 'Kaggle').
The data itself is set of time series of different product sales in 'Walmart'.
The package also includes a ready-to-use built-in M5 subset named <code>tiny_m5</code>.
For detailed information about the challenges, see:
Makridakis, Spyros &amp; Spiliotis, Evangelos &amp; Assimakopoulos, Vassilis. (2020).
The M5 Accuracy competition: Results, findings and conclusions. <a href='doi:10.1016/j.ijforecast.2021.10.009'>doi:10.1016/j.ijforecast.2021.10.009</a></p>

m5-package: m5: 'M5 Forecasting' Challenges Data

Description

Arguments

Author