trainDistributedModel: Train Distributed Model
In schalkdaniel/distributed_lm: Train models in a distributed/federated fashion
Description
This function conducts a specific number of epochs on the local machine. Therefore, the function reads in the available
datasets and runs a fixed number of Gradient Descent steps.
Usage
1
trainDistributedModel(regis_dir, silent = FALSE, epochs_at_once = 1L)
Arguments
regis_dir
[character(1)]
Direction for the output files.
silent
[logical(1)]
epochs_at_once
[integer(1)]
schalkdaniel/distributed_lm documentation built on May 27, 2019, 3:32 p.m.
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Description
This function conducts a specific number of epochs on the local machine. Therefore, the function reads in the available datasets and runs a fixed number of Gradient Descent steps.
Usage
1 | trainDistributedModel(regis_dir, silent = FALSE, epochs_at_once = 1L)
|
Arguments
regis_dir |
[ |
silent |
[ |
epochs_at_once |
[ |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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