v1.6.0 #689
AzulGarza
announced in
Announcements
v1.6.0
#689
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New Models
New features
fit
andcross_validation
methods withuse_init_models
parameter to restore models to initial parameters.HuberLoss
,TukeyLoss
,HuberQLoss
, andHuberMQLoss
.DistributionLoss
to build temporal classifiers.exclude_insample_y
parameter to all models to build models only based on exogenous regressors.NBEATSx
andNHITS
models.predict
method of windows-based models to create batches to control memory usage. Can be controlled with the newinference_windows_batch_size
parameter.HINT
family of hierarchical models: identity reconciliation,AutoHINT
, and reconciliation methods in hyperparameter selection.inference_input_size
hyperparameter to recurrent-based methods to control historic length during inference to better control memory usage and inference times.New tutorials and documentation
Fixed bugs and new protections
MinMax
scalers that returned NaN values when the mask had 0 values.y_loc
andy_scale
being in different devices.early_stopping_steps
to theHINT
method.fit
method of all models to stop training when training or validation loss becomes NaN. Print input and output tensors for debugging.val_check_step
>max_steps
from causing an error when early stopping is enabled.AutoNBEATSx
to core'sMODEL_DICT
.NBEATSx-i
model wherehorizon
=1 causes an error due to collapsing trend and seasonality basis.This discussion was created from the release v1.6.0.
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