dask 2021.10.0

ParametersReturnsBackRef
svd_flip(u, v, u_based_decision=False)

This function is useful for orienting eigenvectors such that they all lie in a shared but arbitrary half-space. This makes it possible to ensure that results are equivalent across SVD implementations and random number generator states.

Parameters

u : (M, K) array_like

Left singular vectors (in columns)

v : (K, N) array_like

Right singular vectors (in rows)

u_based_decision: bool :

Whether or not to choose signs based on u rather than v, by default False

Returns

u : (M, K) array_like

Left singular vectors with corrected sign

v: (K, N) array_like

Right singular vectors with corrected sign

Sign correction to ensure deterministic output from SVD.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.linalg.svd

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /dask/array/utils.py#473
type: <class 'function'>
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