train_and_evaluate

Train and evaluate a model object. See implementation in the
<code>tfestimators::train_and_evaluate.tf_estimator()</code> package.

internal

Interface to 'TensorFlow' <https://www.tensorflow.org/>,
an open source software library for numerical computation using data
flow graphs. Nodes in the graph represent mathematical operations,
while the graph edges represent the multidimensional data arrays
(tensors) communicated between them. The flexible architecture allows
you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop,
server, or mobile device with a single 'API'. 'TensorFlow' was originally
developed by researchers and engineers working on the Google Brain Team
within Google's Machine Intelligence research organization for the
purposes of conducting machine learning and deep neural networks research,
but the system is general enough to be applicable in a wide variety
of other domains as well.

Tomasz Kalinowski

tensorflow

R Interface to 'TensorFlow'

JJ Allaire

Daniel Falbel

Dirk Eddelbuettel

Yuan Tang

Nick Golding

Google Inc. 

Posit, PBC 

train_and_evaluate function

<dl><dt>object</dt>
<dd>An R object.</dd>
<dt>...</dt>
<dd>Optional arguments passed on to implementing methods.
<a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=tensorflow&version=2.16.0" alt="[Deprecated]"></a></dd></dl>

Arguments

(Deprecated) Simultaneously Train and Evaluate a Model — train_and_evaluate

<dl>

<dt>object</dt>
<dd>An R object.</dd>


<dt>...</dt>
<dd>Optional arguments passed on to implementing methods.
<a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a></dd>

</dl>

(Deprecated) Simultaneously Train and Evaluate a Model

train_and_evaluate: (Deprecated) Simultaneously Train and Evaluate a Model

Description

Usage

Arguments