Removed
functions based on vif packacge because I received information the vif
package will be archived
NumericEnsembles 1.0.5
1.0.4
Fixed
errors that the variable importance barchart was not saving when the
user requested it, and set_seed was crashing. Both are fixed, passed
tests, running fine.
1.0.3
Fixed
errors on predicting on new data using XGBoost
1.0.2
I
received word that the package reactablefmtr will be archived on
2026-03-17. I replaced those functions in NumericEnsembles using the
htmlwidges and htmltools libraries.
1.0.1
Corrected mistakes in the
vignette.
1.0.0
All
desired features are included and working great, ready for version
1.0.0!
0.10.10
Added stratified random
sampling
Added
extensive documentation, set up sections so the code is easy for the
user to navigate.
0.10.9
Added
several functions to separate best performing from worst performing
data, using the vip package
0.10.8
Removed
ensemble_XGBoost due to problems with overfitting, replaced with
ensemble_neuralnet, which does not have any issues with
overfitting.
0.10.7
Added
automatic stratified sampling for train, test and validation sets. Also
added automatic histograms of the overfitting data.
0.10.6
Add
back remove_data_correlations_greater_than. This addresses issues when
data has columns that are highly correlated.
0.10.5
Fix
name: Change holdout / RMSE to overfitting (both more accurate and
easier to understand)
0.10.4
Remove all references to
MAE, MSE, SSE
0.10.3
Update version
number to reflect all changes.
NumericEnsembles 0.10.2
Updated
ReadMe to reflect recent changes (32 models instead of 40), added a
report (in the Vignettes) in Quarto format
NumericEnsembles 0.10.1
0.9.2
Corrected
errors in the vignette, which now runs correctly
Corrected
errors in set.seed, so the results are consistent if the same seed is
used.
NumericEnsembles 0.9.0
Corrected
160 plots (40 models x 4 plots each, pred_vs_actual, pred_vs_residuals,
hist_residuals and qq plots. They were not printing the correct plot,
that is now fixed.)
Added
set_seed, so NumericEnsembles runs correctly when a specific seed is
set.
NumericEnsembles 0.8.0
Added
Variance Inflation Factor. The user is able to set the VIF value, and
models are built with VIF values at or below the user’s choice of VIF
value
Added
“free” and “fixed” scales to all appropriate plots. Each result has two
plots, one with free scales, the other with fixed scales.
Added
Kolomogrov-Smirnovv test to help the user see which models test similar
to the actual holdout data
Added
several “Holdout vs train” charts to show how each model performs across
multiple resamples, and the range of values of holdout RMSE / train
RMSE
NumericEnsembles 0.7.0
NumericEnsembles 0.6.0
NumericEnsembles 0.5.0
NumericEnsembles 0.4.0
NumericEnsembles 0.3.0
NumericEnsembles 0.2.0
NumericEnsembles 0.1.0
Initial CRAN submission.
NumericEnsembles 1.0.0
Added
example of New_Boston data set as a new data set to use in
NumericEnsembles (‘do_you_have_new_data?’)
To see how this works, use the data as Boston_housing, and the new
data as New_Boston.
Removed
neuralnet models since I could not get the RMSE down, added cppls, which
creates a much more accurate ensemble compared to the previous
version.
Removed cppls,
not reliable on several data sets.
Re-added
neuralnet models (individual and ensemble) since I was able to get those
to work without error
Added
best subsets: Forward, backward, exhaustive and seqrep
Added
save_all_plots to automatically save all plots in the user’s choice of
one of six graphics formats: eps, jpeg, pdf, png, svg or tiff