ltrlib
ltrlib
API
io.github.metarank.ltrlib
booster
Booster
Booster
BoosterFactory
BoosterOptions
DatasetOptions
BoosterDataset
CatboostBooster
CatboostBooster
CatboostOptions
LightGBMBooster
LightGBMBooster
LightGBMOptions
XGBoostBooster
XGBoostBooster
XGBoostOptions
input
CSVInputFormat
CSVDataset
InputFormat
InputFormat
DatasetError
LibsvmInputFormat
metric
MAP
MRR
MSE
Metric
NDCG
NDCG
RMSE
model
Dataset
DatasetDescriptor
DatasetDescriptor
Feature
Feature
CategoryFeature
SingularFeature
VectorFeature
FitResult
LabeledItem
Model
Query
Query
output
CSVOutputFormat
LibSVMOutputFormat
OutputFormat
ranking
pairwise
LambdaMART
LambdaMART
FlattenedDataset
FlattenedDataset
pointwise
LogRegRanker
LogRegRanker
BatchSGD
CategoryFeatureWeight
FeatureWeight
LogRegModel
NoOptions
RegWeights
RegressionOptions
SGD
SingularFeatureWeight
VectorFeatureWeight
RandomRanker
RandomRanker
RandomModel
Ranker
util
Logging
ltrlib
/
io.github.metarank.ltrlib
/
io.github.metarank.ltrlib.booster
/
Booster
/
BoosterFactory
BoosterFactory
io.github.metarank.ltrlib.booster.Booster.BoosterFactory
trait
BoosterFactory
[
D
,
T
<:
Booster
[
D
],
O
<:
BoosterOptions
]
Attributes
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Supertypes
class
Object
trait
Matchable
class
Any
Known subtypes
object
CatboostBooster
object
LightGBMBooster
object
XGBoostBooster
Members list
Clear all
Value members
Abstract methods
def
apply
(
string
:
Array
[
Byte
]):
T
def
formatData
(
ds
:
BoosterDataset
,
parent
:
Option
[
D
],
options
:
O
):
D
def
train
(
dataset
:
D
,
test
:
Option
[
D
],
options
:
O
,
dso
:
DatasetOptions
):
T
Concrete methods
def
closeData
(
d
:
D
):
Unit
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Attributes
Members list
Value members
Abstract methods
Concrete methods