Man pages for ocf
Ordered Correlation Forest

check_alphaCheck Argument alpha
check_honesty_inferenceCheck Arguments honesty, honesty.fraction and inference
check_maxdepthCheck Argument max.depth
check_minnodesizeCheck Argument min.node.size
check_mtryCheck Argument mtry
check_ntreesCheck Argument n.trees
check_samplefractionCheck Argument sample.fraction
check_x_yCheck Arguments x and y
class_honest_splitHonest Sample Split
forest_weights_fittedForest In-Sample Honest Weights
forest_weights_fitted_cppForest In-Sample Honest Weights
forest_weights_predicted_cppForest Out-of-Sample Honest Weights
honest_fittedHonest In-Sample Predictions
honest_fitted_cppHonest In-Sample Predictions
honest_predictionsHonest Out-of-Sample Predictions
honest_predictions_cppHonest Out-of-Sample Predictions
marginal_effectsMarginal Effects for Ordered Correlation Forest
mean_squared_errorAccuracy Measures for Ordered Probability Predictions
multinomial_mlMultinomial Machine Learning
ocfOrdered Correlation Forest
ordered_mlOrdered Machine Learning
predict_forest_weightsForest Out-of-Sample Weights
predict.mmlPrediction Method for mml Objects
predict.ocfPrediction Method for ocf Objects
predict.ocf.forestPrediction Method for ocf.forest Objects
predict.omlPrediction Method for oml Objects
print.ocfPrint Method for ocf Objects
print.ocf.marginalPrint Method for ocf.marginal Objects
rename_latexRenaming Variables for LATEX Usage
summary.ocfSummary Method for ocf Objects
summary.ocf.marginalSummary Method for ocf.marginal Objects
tree_infoTree Information in Readable Format
ocf documentation built on Sept. 15, 2023, 1:06 a.m.