| All functions | 
        
          
          | kfold
 | (Un)Stratified k-fold for any type of label | 
          
          | Laurae.lgb.dmat
 | LightGBM Dataset generation | 
          
          | Laurae.xgb.dmat
 | xgboost DMatrix generation | 
          
          | Laurae.xgb.train
 | xgboost Model Trainer | 
          
          | lgb.wrap.loss
 | LightGBM loss function wrapper | 
          
          | lgb.wrap.metric
 | LightGBM evaluation metric wrapper | 
          
          | metrics.acc.max
 | Maximum binary accuracy | 
          
          | metrics.f1.max
 | Maximum F1 Score (Precision with Sensitivity harmonic mean) | 
          
          | metrics.fallout.max
 | Minimum Fall-Out (False Positive Rate) | 
          
          | metrics.kappa.max
 | Maximum Kappa statistic | 
          
          | metrics.logloss
 | Logarithmic Loss (logloss) | 
          
          | metrics.logloss.solve
 | Logarithmic Loss Solver | 
          
          | metrics.logloss.unsafe
 | Logarithmic Loss (logloss) | 
          
          | metrics.mcc.max
 | Maximum Matthews Correlation Coefficient | 
          
          | metrics.missrate.max
 | Minimum Miss-Rate (False Negative Rate) | 
          
          | metrics.precision.max
 | Maximum Precision (Positive Predictive Value) | 
          
          | metrics.sensitivity.max
 | Maximum Sensitivity (True Positive Rate) | 
          
          | metrics.specificity.max
 | Maximum Specificity (True Negative Rate) | 
          
          | nkfold
 | (Un)Stratified Repeated k-fold for any type of label | 
          
          | parallel.csv
 | Parallel CSV Converter | 
          
          | parallel.destroy
 | Parallel Destruction | 
          
          | parallel.threading
 | Parallel Threading Affinity Optimization | 
          
          | sparse.read
 | SVMLight file reader | 
          
          | sparse.write
 | SVMLight file writer | 
          
          | xgb.wrap.loss
 | xgboost loss function wrapper | 
          
          | xgb.wrap.metric
 | xgboost evaluation metric wrapper |