ts_head

Return the first n observations from a <code>ts_data</code>.

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 

ts_head function

<dl><dt>x</dt>
<dd><code>ts_data</code> object</dd>
<dt>n</dt>
<dd>number of rows to return</dd>
<dt>...</dt>
<dd>optional arguments</dd></dl>

Arguments

Extract the First Observations from a ts_data Object — ts_head

<dl>

<dt>x</dt>
<dd><code>ts_data</code> object</dd>


<dt>n</dt>
<dd>number of rows to return</dd>


<dt>...</dt>
<dd>optional arguments</dd>

</dl>

Extract the First Observations from a <code>ts_data</code> Object

ts_head: Extract the First Observations from a `ts_data` Object

Description

Usage

Value

Arguments

Examples