scikit-lego
Contents:
Installation
Contribution
Datasets
Linear Models
Mixture Methods
Naive Bayes
Meta Models
Fairness
Outliers
Model Based Outlier Detection
Preprocessing
Debug pipeline
Pandas pipelines
Hall of Fame
Lego in Rstudio
Import This
API Reference
Base
Common
Datasets
Decomposition
Dummy
Linear Model
Meta
Metrics
Mixture
Model Selection
Naive Bayes
Pandas Utils
Pipeline
Preprocessing
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API Reference
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Base
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Base
class
sklego.base.
Clusterer
[source]
Bases:
object
class
sklego.base.
ClustererMeta
[source]
Bases:
type
class
sklego.base.
OutlierModel
[source]
Bases:
object
class
sklego.base.
OutlierModelMeta
[source]
Bases:
type
class
sklego.base.
ProbabilisticClassifier
[source]
Bases:
object
class
sklego.base.
ProbabilisticClassifierMeta
[source]
Bases:
type