ml_pcard: ml_pcard An R wrapper for the PCARD Spark Package that...
In slopp/sparkPCARD: Wrapper for PCARD algorihtm in Spark
Description
Usage
Arguments
Value
Description
ml_pcard An R wrapper for the PCARD Spark Package that performs Random Discretization and PCA, then joins the results and trains an ensemble of decision trees.
Usage
1
2
ml_pcard(x, response, features = dplyr::tbl_vars(x), numTrees = 10,
numBins = 5)
Arguments
x
- a tbl_spark object
response
- name of the column containing group labels
features
- features to use to predict group membership
numTrees
- number of decision trees to use ensemble
numBins
- number of bins in random discretization
Value
A Spark model object that can be used in predict or sdf_predict
slopp/sparkPCARD documentation built on May 30, 2019, 3:05 a.m.
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Description Usage Arguments Value
Description
ml_pcard An R wrapper for the PCARD Spark Package that performs Random Discretization and PCA, then joins the results and trains an ensemble of decision trees.
Usage
1 2 | ml_pcard(x, response, features = dplyr::tbl_vars(x), numTrees = 10,
numBins = 5)
|
Arguments
x |
- a tbl_spark object |
response |
- name of the column containing group labels |
features |
- features to use to predict group membership |
numTrees |
- number of decision trees to use ensemble |
numBins |
- number of bins in random discretization |
Value
A Spark model object that can be used in predict or sdf_predict
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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