print

print.BinomialVariate

print.Calibration

print.DiscreteVariate

print.ListOf

print.MLControl

print.MLMetric

print.MLModel

print.MLModelFunction

print.ModelFrame

print.ModelRecipe

print.ModelSpecification

print.Performance

print.PerformanceCurve

print.RecipeGrid

print.Resample

print.SurvMatrix

print.SurvTimes

print.TrainingStep

print.VariableImportance

Print methods for objects defined in the MachineShop package.

Meta-package for statistical and machine learning with a unified
interface for model fitting, prediction, performance assessment, and
presentation of results.  Approaches for model fitting and prediction of
numerical, categorical, or censored time-to-event outcomes include
traditional regression models, regularization methods, tree-based methods,
support vector machines, neural networks, ensembles, data preprocessing,
filtering, and model tuning and selection.  Performance metrics are provided
for model assessment and can be estimated with independent test sets, split
sampling, cross-validation, or bootstrap resampling.  Resample estimation
can be executed in parallel for faster processing and nested in cases of
model tuning and selection.  Modeling results can be summarized with
descriptive statistics; calibration curves; variable importance; partial
dependence plots; confusion matrices; and ROC, lift, and other performance
curves.

Brian Smith

MachineShop

Machine Learning Models and Tools

print function

<dl><dt>x</dt>
<dd>object to print.</dd>
<dt>n</dt>
<dd>integer number of models or data frame rows to show.</dd>
<dt>...</dt>
<dd>arguments passed to other methods, including the one described
below.<dl>
 <dt><code>level</code> = 0</dt>
<dd>current nesting level of the corresponding
 object in recursive calls to <code>print</code>. The amount of information
 displayed decreases and increases with positive and negative levels,
 respectively.</dd></dl></dd>
</dl>
<dt>id</dt>
<dd>logical indicating whether to show object identifiers.</dd>
<dt>data</dt>
<dd>logical indicating whether to show model data.</dd>

Arguments

Print MachineShop Objects — print

<dl>

<dt>x</dt>
<dd>object to print.</dd>


<dt>n</dt>
<dd>integer number of models or data frame rows to show.</dd>


<dt>...</dt>
<dd>arguments passed to other methods, including the one described
below.<dl>
 <dt><code>level</code> = 0</dt>
<dd>current nesting level of the corresponding
 object in recursive calls to <code>print</code>. The amount of information
 displayed decreases and increases with positive and negative levels,
 respectively.</dd>


</dl></dd>


<dt>id</dt>
<dd>logical indicating whether to show object identifiers.</dd>


<dt>data</dt>
<dd>logical indicating whether to show model data.</dd>

</dl>

Print MachineShop Objects

print: Print MachineShop Objects

Description

Usage

Arguments