Ensemble Partial Least Squares Regression
Cross Validation for Ensemble Partial Least Squares Regression
Cross Validation for Ensemble Sparse Partial Least Squares Regression
enpls: Ensemble Partial Least Squares Regression
core fitting function for enpls.ad
core prediction function for enpls.ad
Ensemble Partial Least Squares for Model Applicability Domain Evaluati...
core function for enpls.fit
Ensemble Partial Least Squares Regression
core function for enpls.fs
Ensemble Partial Least Squares for Measuring Feature Importance
Mean Absolute Error (MAE)
core function for enpls.od
Ensemble Partial Least Squares for Outlier Detection
Root Mean Squared Error (RMSE)
Root Mean Squared Logarithmic Error (RMSLE)
core fitting function for enspls.ad
core prediction function for enspls.ad
Ensemble Sparse Partial Least Squares for Model Applicability Domain E...
core function for enspls.fit
Ensemble Sparse Partial Least Squares Regression
core function for enspls.fs
Ensemble Sparse Partial Least Squares for Measuring Feature Importance
core function for enspls.od
Ensemble Sparse Partial Least Squares for Outlier Detection
Plot cv.enpls object
Plot cv.enspls object
Plot enpls.ad object
Plot enpls.fs object
Plot enpls.od object
Plot enspls.ad object
Plot enspls.fs object
Plot enspls.od object
Make Predictions from a Fitted Ensemble Partial Least Squares Model
Make Predictions from a Fitted Sparse Ensemble Partial Least Squares M...
Print cv.enpls Object
Print cv.enspls Object
Print enpls.ad Object
Print Fitted Ensemble Partial Least Squares Object
Print enpls.fs Object
Print enpls.od Object
Print enspls.ad Object
Print Fitted Ensemble Sparse Partial Least Squares Object
Print enspls.fs Object
Print enspls.od Object
Add transparency level to hex colors
An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
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