shapeSet

dataSet

"data.table" or "numerical_matrix" (default to data.table)

finalForm

Threshold such that a numerical column is transformed into
 a factor whenever its number of unique modalities is smaller or equal to
<code>thresh</code> (numeric, default to 10)

thresh

Should the algorithm talk? (logical, default to TRUE)

verbose

Prepare a data.table by:<ul>
<li>transforming numeric variables into factors whenever they take less than <code>thresh</code> unique 
 variables</li>
<li>transforming characters using <code><a rd-options="" href="/link/generateFromCharacter?package=dataPreparation&version=0.4.3" data-mini-rdoc="dataPreparation::generateFromCharacter">generateFromCharacter</a></code></li>
<li>transforming logical into binary integers</li>
<li>dropping constant columns</li>
<li>Sending the data.table to <code><a rd-options="" href="/link/setAsNumericMatrix?package=dataPreparation&version=0.4.3" data-mini-rdoc="dataPreparation::setAsNumericMatrix">setAsNumericMatrix</a></code> (when <code>finalForm == "numerical_matrix"</code>) 
 will then allow you to get a numerical matrix usable by most Machine Learning Algorithms.</li>
</ul>

Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.

Emmanuel-Lin Toulemonde

dataPreparation

Automated Data Preparation

shapeSet function

All these changes will happen by reference.

Warning

Prepare a data.table by:<ul>
<li>transforming numeric variables into factors whenever they take less than <code>thresh</code> unique 
 variables</li>
<li>transforming characters using <code><a rd-options='' href='generateFromCharacter'>generateFromCharacter</a></code></li>
<li>transforming logical into binary integers</li>
<li>dropping constant columns</li>
<li>Sending the data.table to <code><a rd-options='' href='setAsNumericMatrix'>setAsNumericMatrix</a></code> (when <code>finalForm == "numerical_matrix"</code>) 
 will then allow you to get a numerical matrix usable by most Machine Learning Algorithms.</li>
</ul>

shapeSet: Final preparation before ML algorithm

Description

Usage

Arguments

Warning