encoders

Encoders for encoding categorical variables and scaling continuous data.

Functions

_clamp_zero(x)
_identity(x)
_plus_one(x)

Classes

EncoderNormalizer(method, center, …)	Special Normalizer that is fit on each encoding sequence.
GroupNormalizer(method, groups, center, …)	Normalizer that scales by groups.
MultiNormalizer(normalizers)	Normalizer for multiple targets.
NaNLabelEncoder(add_nan, warn)	Labelencoder that can optionally always encode nan and unknown classes (in transform) as class 0
TorchNormalizer(method, center, …)	Basic target transformer that can be fit also on torch tensors.

data pytorch_forecasting.data.encoders._clamp_zero