buildBoostedModel: Build a Gradient Boosted Model
In PriceLab/FPML: Footprint Machine Learning
Description
Usage
Arguments
Value
Description
Build the gradient boosted model for the given list of data and return the stats data frame for
inspection and plotting
Usage
1
buildBoostedModel(dataList)
Arguments
dataList
The list of prepared data, generally obtained by running the prepModelData
function. It must contain at least these 4 matrices: X_train, y_train, X_test, y_test
Value
The stats dataframe from the model and the model itself
PriceLab/FPML documentation built on May 28, 2019, 2:25 p.m.
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Description Usage Arguments Value
Description
Build the gradient boosted model for the given list of data and return the stats data frame for inspection and plotting
Usage
1 | buildBoostedModel(dataList)
|
Arguments
dataList |
The list of prepared data, generally obtained by running the |
Value
The stats dataframe from the model and the model itself
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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