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 |