iter_seeds

This functions lets the user iterate and search for best seed. Note that if
the results change a lot, you are having a high variance in your data.

Auxiliary package for better/faster analytics, visualization, data mining, and machine
learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling,
Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or
data scientist to get quick and robust results, without the need of repetitive coding or
advanced R programming skills.

Bernardo Lares

lares

Lean Analytics and Robust Exploration Sidekick

iter_seeds function

<dl><dt>df</dt>
<dd>Dataframe. Dataframe containing all your data, including
the dependent variable labeled as <code>'tag'</code>. If you want to define
which variable should be used instead, use the <code>y</code> parameter.</dd>
<dt>y</dt>
<dd>Variable or Character. Name of the dependent variable or response.</dd>
<dt>tries</dt>
<dd>Integer. Number of iterations</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>h2o_automl</code></dd></dl>

Arguments

Iterate Seeds on AutoML — iter_seeds

<dl>

<dt>df</dt>
<dd>Dataframe. Dataframe containing all your data, including
the dependent variable labeled as <code>'tag'</code>. If you want to define
which variable should be used instead, use the <code>y</code> parameter.</dd>


<dt>y</dt>
<dd>Variable or Character. Name of the dependent variable or response.</dd>


<dt>tries</dt>
<dd>Integer. Number of iterations</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>h2o_automl</code></dd>

</dl>

iter_seeds: Iterate Seeds on AutoML

Description

Usage

Value

Arguments

See Also