jobj_set_param: Parameter Setting for JVM Objects
In sparklyr: R Interface to Apache Spark
View source: R/ml_pipeline_utils.R
jobj_set_param R Documentation
Parameter Setting for JVM Objects
Description
Sets a parameter value for a pipeline stage object.
Usage
jobj_set_param(jobj, setter, value, min_version = NULL, default = NULL)
Arguments
jobj
A pipeline stage jobj.
setter
The name of the setter method as a string.
value
The value to be set.
min_version
The minimum required Spark version for this parameter to be valid.
default
The default value of the parameter, to be used together with 'min_version'.
An error is thrown if the user's Spark version is older than 'min_version' and 'value'
differs from 'default'.
sparklyr documentation built on May 29, 2024, 2:58 a.m.
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View source: R/ml_pipeline_utils.R
| jobj_set_param | R Documentation |
Parameter Setting for JVM Objects
Description
Sets a parameter value for a pipeline stage object.
Usage
jobj_set_param(jobj, setter, value, min_version = NULL, default = NULL)
Arguments
jobj |
A pipeline stage jobj. |
setter |
The name of the setter method as a string. |
value |
The value to be set. |
min_version |
The minimum required Spark version for this parameter to be valid. |
default |
The default value of the parameter, to be used together with 'min_version'. An error is thrown if the user's Spark version is older than 'min_version' and 'value' differs from 'default'. |
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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