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Pluggable point-loss functions for the TimeXer forecaster.

Self-contained (no dependency on other models' loss modules). Each loss has signature (pred, target) -> scalar and reduces by mean over all elements. Functions are module-level so they pickle cleanly when stored as the loss attribute of a fitted :class:chronax.models.timexer.TimeXer.

mae

chronax.timexer_losses.mae

Mean absolute error: mean(|pred - target|).

Parameter Type Default Description
pred jnp.ndarray - (undocumented)
target jnp.ndarray - (undocumented)

Returns: jnp.ndarray (The scalar loss value).

mse

chronax.timexer_losses.mse

Mean squared error: mean((pred - target)**2).

Parameter Type Default Description
pred jnp.ndarray - (undocumented)
target jnp.ndarray - (undocumented)

Returns: jnp.ndarray (The scalar loss value).

huber

chronax.timexer_losses.huber

Huber loss with delta = 1.0. Quadratic for |r| <= 1, linear outside.

Parameter Type Default Description
pred jnp.ndarray - (undocumented)
target jnp.ndarray - (undocumented)

Returns: jnp.ndarray (The scalar loss value).

resolve

chronax.timexer_losses.resolve

Return a callable loss from either a registry string or a callable.

Parameter Type Default Description
loss str | LossFn - (undocumented)

Returns: LossFn (A callable loss function). Raises: ValueError (If the string provided for loss is not found in the registry).