pad_mlpar: Pads a list of ML algorithm paramters with defaults if not...
In jeanmarcgp/mlStocks: Machine Learning Predictive Analysis for Stocks
Description
Usage
Arguments
Value
Description
For any given ML algorithm, several parameters must be provided. This
function will return a list (mlpar) with a sensible set of default
arguments, unless it is overridden by specifying it in the mlpar
argument.
Usage
1
Arguments
mlalgo
The name, in quote or the ml algorithm to populate with
its parameters. Supported ml algorithms include "h2o.rf",
"xgboost".
mlpar
A list of named ml parameters to override the default. If
nothing is specified, then NULL is assumed and the funtion
use all the embedded defaults.
Value
Returns a list of parameters for the said ml algorithm.
jeanmarcgp/mlStocks documentation built on May 19, 2019, 12:38 a.m.
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Description Usage Arguments Value
Description
For any given ML algorithm, several parameters must be provided. This function will return a list (mlpar) with a sensible set of default arguments, unless it is overridden by specifying it in the mlpar argument.
Usage
1 |
Arguments
mlalgo |
The name, in quote or the ml algorithm to populate with its parameters. Supported ml algorithms include "h2o.rf", "xgboost". |
mlpar |
A list of named ml parameters to override the default. If nothing is specified, then NULL is assumed and the funtion use all the embedded defaults. |
Value
Returns a list of parameters for the said ml algorithm.
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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