train

A trainable R object.

object

Optional arguments passed on to implementing methods.

Train a model object. See implementation in the
<a rd-options="tfestimators:train.tf_estimator" href="/link/tfestimators?package=tensorflow&version=1.10&to=tfestimators%3Atrain.tf_estimator" data-mini-rdoc="tfestimators:train.tf_estimator::tfestimators">tfestimators</a> package.

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.

JJ Allaire

tensorflow

R Interface to 'TensorFlow'

 RStudio

Yuan Tang

Dirk Eddelbuettel

Nick Golding

Tomasz Kalinowski

 Google Inc.

train function

<ul>
<li><a rd-options="tfestimators:train.tf_estimator" href="/link/tfestimators?package=tensorflow&version=1.10&to=tfestimators%3Atrain.tf_estimator" data-mini-rdoc="tfestimators:train.tf_estimator::tfestimators">tfestimators</a></li>
</ul>

Implementations

Train a model object. See implementation in the
<a rd-options='tfestimators:train.tf_estimator' href='tfestimators'>tfestimators</a> package.

train: Train a Model

Description

Usage

Arguments

Implementations