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jax.scipy.stats.sem

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jax.scipy.stats.sem#

jax.scipy.stats.sem(a, axis=0, ddof=1, nan_policy='propagate', *, keepdims=False)[source]#

Compute the standard error of the mean.

JAX implementation of scipy.stats.sem().

Parameters:

  • a (jax.typing.ArrayLike) – arraylike

  • axis (int | None) – optional integer. If not specified, the input array is flattened.

  • ddof (int) – integer, default=1. The degrees of freedom in the SEM computation.

  • nan_policy (str) – str, default=”propagate”. JAX supports only “propagate” and “omit”.

  • keepdims (bool) – bool, default=False. If true, reduced axes are left in the result with size 1.

Returns:

array

Return type:

Array

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