fertilizers

List of Brazilian fertilizer consumption series for N, P2O5, K2O.
All series are numeric and ordered by time.<ul>
<li>brazil_n: nitrogen consumption from 1961 to 2020.</li>
<li>brazil_p2o5: phosphate consumption from 1961 to 2020.</li>
<li>brazil_k2o: potash consumption from 1961 to 2020.</li>
</ul>

datasets

Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies.
TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation.
Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance.
It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies.
More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.

Eduardo Ogasawara

tspredit

Time Series Prediction with Integrated Tuning

Cristiane Gea

Diego Carvalho

Diogo Santos

Eduardo Bezerra

Esther Pacitti

Fabio Porto

Fernando Alexandrino

Rebecca Salles

Vitoria Birindiba

CEFET/RJ 

fertilizers function

Format

Fertilizers (Regression) — fertilizers

Fertilizers (Regression)

fertilizers: Fertilizers (Regression)

Description

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References

Examples