tfp.experimental.sequential.EnsembleKalmanFilterState
Stay organized with collections
Save and categorize content based on your preferences.
State for Ensemble Kalman Filter algorithms.
tfp.experimental.sequential.EnsembleKalmanFilterState(
step, particles, extra
)
Contents |
step
|
Scalar Integer tensor. The timestep associated with this state.
|
particles
|
Structure of Floating-point Tensor s of shape
[N, B1, ... Bn, Ek] where N is the number of particles in the ensemble,
Bi are the batch dimensions and Ek is the size of each state.
|
extra
|
Structure containing any additional information. Can be used
for keeping track of diagnostics or propagating side information to
the Ensemble Kalman Filter.
|
Attributes |
step
|
A namedtuple alias for field number 0
|
particles
|
A namedtuple alias for field number 1
|
extra
|
A namedtuple alias for field number 2
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-11-21 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[]]