t-minus

[FIX] Avoid raised error for varied step_size parameter during Predict_insample()

3

# Changes * Fixes https://github.com/Nixtla/neuralforecast/issues/866 issue * Add `optimizer`, `optimizer_kwargs` params to `TimeLLM` and `NLinear` models. The recently introduced models did not consider these parameters because the optimizer related args...

[FEAT] Add option to support user defined learning rate scheduler for NeuralForecast Models

2

# Rationale * Similar to the work of adding the support of an user-defined optimizer, now we can accept an user defined scheduler. This feature is asked in https://github.com/Nixtla/neuralforecast/issues/852#issuecomment-1961923861 and...

[FEAT] Add option to modify the default configure_optimizers() behavior

3

# Rationale * Users have asked about whether we can modify the default learning rate scheduler behaviors. See https://github.com/Nixtla/neuralforecast/issues/852#issuecomment-1961923861 and https://nixtlacommunity.slack.com/archives/C031M8RLC66/p1713516602654109 * Instead of adding arguments to all the models,...