Man pages for Laurae2/LauraeDS
Laurae's Data Science Package

kfold(Un)Stratified k-fold for any type of label
Laurae.lgb.dmatLightGBM Dataset generation
Laurae.xgb.dmatxgboost DMatrix generation
Laurae.xgb.trainxgboost Model Trainer
lgb.wrap.lossLightGBM loss function wrapper
lgb.wrap.metricLightGBM evaluation metric wrapper
metrics.acc.maxMaximum binary accuracy
metrics.f1.maxMaximum F1 Score (Precision with Sensitivity harmonic mean)
metrics.fallout.maxMinimum Fall-Out (False Positive Rate)
metrics.kappa.maxMaximum Kappa statistic
metrics.loglossLogarithmic Loss (logloss)
metrics.logloss.solveLogarithmic Loss Solver
metrics.logloss.unsafeLogarithmic Loss (logloss)
metrics.mcc.maxMaximum Matthews Correlation Coefficient
metrics.missrate.maxMinimum Miss-Rate (False Negative Rate)
metrics.precision.maxMaximum Precision (Positive Predictive Value)
metrics.sensitivity.maxMaximum Sensitivity (True Positive Rate)
metrics.specificity.maxMaximum Specificity (True Negative Rate)
nkfold(Un)Stratified Repeated k-fold for any type of label
parallel.csvParallel CSV Converter
parallel.destroyParallel Destruction
parallel.threadingParallel Threading Affinity Optimization
sparse.readSVMLight file reader
sparse.writeSVMLight file writer
xgb.wrap.lossxgboost loss function wrapper
xgb.wrap.metricxgboost evaluation metric wrapper
Laurae2/LauraeDS documentation built on Dec. 27, 2017, 11:02 a.m.