Execute grid tuning for catboost
CatBoostGridTuner(
ModelType = "classification",
TrainOnFull. = TrainOnFull,
TargetColumnName. = TargetColumnName,
DebugMode. = DebugMode.,
HasTime = HasTime,
task_type. = task_type,
Trees. = Trees,
Depth. = Depth,
LearningRate. = LearningRate,
L2_Leaf_Reg. = L2_Leaf_Reg,
BorderCount. = BorderCount,
RandomStrength. = RandomStrength,
RSM. = RSM,
BootStrapType. = BootStrapType,
GrowPolicy. = GrowPolicy,
NumGPUs = NumGPUs,
LossFunction = LossFunction,
EvalMetric = EvalMetric,
MetricPeriods = MetricPeriods,
ClassWeights = ClassWeights,
CostMatrixWeights = CostMatrixWeights,
data = data,
TrainPool. = TrainPool,
TestPool. = TestPool,
FinalTestTarget. = FinalTestTarget,
TestTarget. = TestTarget,
FinalTestPool. = FinalTestPool,
TestData. = TestData,
TestMerge. = TestMerge,
TargetLevels. = TargetLevels,
MaxRunsWithoutNewWinner = MaxRunsWithoutNewWinner,
MaxModelsInGrid = MaxModelsInGrid,
MaxRunMinutes = MaxRunMinutes,
BaselineComparison. = BaselineComparison,
SaveModelObjects = SaveModelObjects,
metadata_path = metadata_path,
model_path = model_path,
ModelID = ModelID,
grid_eval_metric. = grid_eval_metric
)"classification"
TrainOnFull
TargetColumnName
DebugMode
HasTime
task_type
Trees
Depth
LearningRate
L2_Leaf_Reg
BorderCount
RandomStrength
RSM
BootStrapType
GrowPolicy
NumGPUs
LossFunction
EvalMetric
MetricPeriods
ClassWeights
CostMatrixWeights
data
TrainPool
TestPool
TestTarget
FinalTestPool
TestData
TestMerge
TargetLevels
MaxRunsWithoutNewWinner
MaxModelsInGrid
MaxRunMinutes
BaselineComparison
SaveModelObjects
metadata_path
model_path
ModelID
MultiClass
Other Reinforcement Learning:
RL_Initialize(),
RL_ML_Update(),
RL_Update(),
RPM_Binomial_Bandit(),
XGBoostGridTuner()