validate_data: validate_data: Part of DCEM package. Used internally in the...
In DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
Description
Usage
Arguments
Details
Value
Description
Implements sanity check for the input data. This function is for internal use and is called
by the dcem_train.
Usage
1
validate_data(columns, numcols)
Arguments
columns
(string): A comma separated
list of columns that needs to be removed from the dataset. Default: ”
numcols
(numeric): Number of columns in the dataset.
Details
An example would be to check if the column to be removed exist
or not? trim_data internally calls this function before removing
the column(s).
Value
boolean: TRUE if the columns exists otherwise FALSE.
DCEM documentation built on Jan. 16, 2022, 1:07 a.m.
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Description Usage Arguments Details Value
Description
Implements sanity check for the input data. This function is for internal use and is called
by the dcem_train.
Usage
1 | validate_data(columns, numcols)
|
Arguments
columns |
(string): A comma separated list of columns that needs to be removed from the dataset. Default: ” |
numcols |
(numeric): Number of columns in the dataset. |
Details
An example would be to check if the column to be removed exist
or not? trim_data internally calls this function before removing
the column(s).
Value
boolean: TRUE if the columns exists otherwise FALSE.
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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