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Frozen Rush Data Storage

Source: R/ArchiveAsyncFrozen.R
ArchiveAsyncFrozen.Rd

Freezes the Redis data base of an ArchiveAsync to a data.table::data.table(). No further points can be added to the archive but the data can be accessed and analyzed. Useful when the Redis data base is not permanently available. Use the callback bbotk.async_freeze_archive to freeze the archive after the optimization has finished.

S3 Methods

  • as.data.table(archive)
    ArchiveAsync -> data.table::data.table()
    Returns a tabular view of all performed function calls of the Objective. The x_domain column is unnested to separate columns.

See also

ArchiveAsync

Super classes

Archive -> ArchiveAsync -> ArchiveAsyncFrozen

Active bindings

data

(data.table::data.table)
Data table with all finished points.

queued_data

(data.table::data.table)
Data table with all queued points.

running_data

(data.table::data.table)
Data table with all running points.

finished_data

(data.table::data.table)
Data table with all finished points.

failed_data

(data.table::data.table)
Data table with all failed points.

n_queued

(integer(1))
Number of queued points.

n_running

(integer(1))
Number of running points.

n_finished

(integer(1))
Number of finished points.

n_failed

(integer(1))
Number of failed points.

n_evals

(integer(1))
Number of evaluations stored in the archive.

Methods

Public methods

Inherited methods

ArchiveAsyncFrozen$new()

Creates a new instance of this R6 class.

Usage

ArchiveAsyncFrozen$new(archive)

Arguments

archive

(ArchiveAsync)
The archive to freeze.

ArchiveAsyncFrozen$push_points()

Push queued points to the archive.

Usage

ArchiveAsyncFrozen$push_points(xss)

Arguments

xss

(list of named list())
List of named lists of point values.

ArchiveAsyncFrozen$pop_point()

Pop a point from the queue.

Usage

ArchiveAsyncFrozen$pop_point()

ArchiveAsyncFrozen$push_running_point()

Push running point to the archive.

Usage

ArchiveAsyncFrozen$push_running_point(xs, extra = NULL)

Arguments

xs

(named list)
Named list of point values.

extra

(list())
Named list of additional information.

ArchiveAsyncFrozen$push_result()

Push result to the archive.

Usage

ArchiveAsyncFrozen$push_result(key, ys, x_domain, extra = NULL)

Arguments

key

(character())
Key of the point.

ys

(list())
Named list of results.

x_domain

(list())
Named list of transformed point values.

extra

(list())
Named list of additional information.

ArchiveAsyncFrozen$push_failed_point()

Push failed point to the archive.

Usage

ArchiveAsyncFrozen$push_failed_point(key, message)

Arguments

key

(character())
Key of the point.

message

(character())
Error message.

ArchiveAsyncFrozen$data_with_state()

Fetch points with a specific state.

Usage

ArchiveAsyncFrozen$data_with_state(
  fields = c("xs", "ys", "xs_extra", "worker_extra", "ys_extra", "condition"),
  states = c("queued", "running", "finished", "failed"),
  reset_cache = FALSE
)

Arguments

fields

(character())
Fields to fetch. Defaults to c("xs", "ys", "xs_extra", "worker_extra", "ys_extra").

states

(character())
States of the tasks to be fetched. Defaults to c("queued", "running", "finished", "failed").

reset_cache

(logical(1))
Whether to reset the cache of the finished points.

ArchiveAsyncFrozen$clear()

Clear all evaluation results from archive.

Usage

ArchiveAsyncFrozen$clear()

ArchiveAsyncFrozen$clone()

The objects of this class are cloneable with this method.

Usage

ArchiveAsyncFrozen$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# example only runs if a Redis server is available
if (mlr3misc::require_namespaces(c("rush", "redux", "mirai"), quietly = TRUE) &&
  redux::redis_available()) {
# define the objective function
fun = function(xs) {
  list(y = - (xs[[1]] - 2)^2 - (xs[[2]] + 3)^2 + 10)
}

# set domain
domain = ps(
  x1 = p_dbl(-10, 10),
  x2 = p_dbl(-5, 5)
)

# set codomain
codomain = ps(
  y = p_dbl(tags = "maximize")
)

# create objective
objective = ObjectiveRFun$new(
  fun = fun,
  domain = domain,
  codomain = codomain,
  properties = "deterministic"
)

# start workers
rush::rush_plan(worker_type = "mirai")
mirai::daemons(1)

# initialize instance
instance = oi_async(
  objective = objective,
  terminator = trm("evals", n_evals = 20),
  callback = clbk("bbotk.async_freeze_archive")
)

# load optimizer
optimizer = opt("async_random_search")

# trigger optimization
optimizer$optimize(instance)

# frozen archive
instance$archive

# best performing configuration
instance$archive$best()

# covert to data.table
as.data.table(instance$archive)
}
#>        state          x1         x2           y        timestamp_xs
#>       <char>       <num>      <num>       <num>              <POSc>
#>  1: finished -6.21358293  0.2769503  -68.201348 2026-06-24 06:51:47
#>  2: finished -2.62264757  4.2779729  -64.337761 2026-06-24 06:51:47
#>  3: finished  6.84682656  3.2309502  -52.316468 2026-06-24 06:51:47
#>  4: finished -1.96786549 -3.4438612   -5.940969 2026-06-24 06:51:47
#>  5: finished -9.86571338  2.5243351 -161.313432 2026-06-24 06:51:47
#>  6: finished  0.01208465  3.1304511  -31.534238 2026-06-24 06:51:47
#>  7: finished -4.77998488  1.4299587  -55.592729 2026-06-24 06:51:47
#>  8: finished  7.57503606  1.3830058  -40.291767 2026-06-24 06:51:47
#>  9: finished  8.01326577 -2.8537699  -26.180748 2026-06-24 06:51:47
#> 10: finished  5.39871055  2.9134685  -36.520343 2026-06-24 06:51:47
#> 11: finished  4.82894640 -0.2106949   -5.783161 2026-06-24 06:51:47
#> 12: finished  2.92831418 -0.4491262    2.631276 2026-06-24 06:51:48
#> 13: finished -2.48881904  1.6091926  -31.394153 2026-06-24 06:51:48
#> 14: finished  2.11332211  1.0427817   -6.356925 2026-06-24 06:51:48
#> 15: finished  0.87403046  4.3072392  -44.663553 2026-06-24 06:51:48
#> 16: finished -5.88500581 -0.9916228  -56.206896 2026-06-24 06:51:48
#> 17: finished  4.08136954  3.9785972  -43.032918 2026-06-24 06:51:48
#> 18: finished -7.80489880 -3.6260806  -86.528017 2026-06-24 06:51:48
#> 19: finished -9.37102033 -3.4632716 -119.514724 2026-06-24 06:51:48
#> 20: finished  5.22167868  0.7561287  -14.487716 2026-06-24 06:51:48
#>        state          x1         x2           y        timestamp_xs
#>       <char>       <num>      <num>       <num>              <POSc>
#>                             worker_id        timestamp_ys
#>                                <char>              <POSc>
#>  1: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  2: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  3: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  4: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  5: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  6: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  7: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  8: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#>  9: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#> 10: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#> 11: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:47
#> 12: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 13: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 14: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 15: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 16: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 17: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 18: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 19: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#> 20: artsycraftsy_easteuropeanshepherd 2026-06-24 06:51:48
#>                             worker_id        timestamp_ys
#>                                <char>              <POSc>
#>                                     keys x_domain_x1 x_domain_x2
#>                                   <char>       <num>       <num>
#>  1: f017205b-634c-4664-90de-18b568126f4c -6.21358293   0.2769503
#>  2: 5b4fd5bc-63ef-45a0-bee5-74024db9c1b8 -2.62264757   4.2779729
#>  3: 7314cb66-2967-41c8-882a-722112ff6fb4  6.84682656   3.2309502
#>  4: fb15072d-b15d-4e2e-97cf-85b0c74368be -1.96786549  -3.4438612
#>  5: a65c2f82-c041-4a3a-a697-d4a1f0bbf4b9 -9.86571338   2.5243351
#>  6: 3330ce45-07bb-4caa-8da6-05801135ba28  0.01208465   3.1304511
#>  7: bb4efeee-88ba-43a0-a71b-58a61a71af9e -4.77998488   1.4299587
#>  8: 03a417f8-4eb0-4481-ba22-8448c7e76710  7.57503606   1.3830058
#>  9: f793c0c9-7800-4bb7-8691-afb08e82a2ae  8.01326577  -2.8537699
#> 10: 63b6a9b0-3865-45ca-9e33-26fdbb7e2ddf  5.39871055   2.9134685
#> 11: 9b53cec3-e7b7-409b-af13-d5d365797569  4.82894640  -0.2106949
#> 12: d5cf7f6b-7e72-47a4-ba7a-9f1d1406d643  2.92831418  -0.4491262
#> 13: 5d176916-670b-49c1-b6d3-e61ffd6842c6 -2.48881904   1.6091926
#> 14: 4ba6ca2c-3da9-4599-b548-0016b4c8f72e  2.11332211   1.0427817
#> 15: ca588c19-5005-4dfc-90cf-c8214398954f  0.87403046   4.3072392
#> 16: b567f9d4-abe3-45d0-b4c0-a62efaf41cb7 -5.88500581  -0.9916228
#> 17: 5c1a7dd0-aa8a-4279-8dd7-5947a5a26dc9  4.08136954   3.9785972
#> 18: f9badf0f-2265-4b63-a2e2-ce27fdc4d3bf -7.80489880  -3.6260806
#> 19: 234aaf19-2c4c-43f3-9d2a-556259327aa4 -9.37102033  -3.4632716
#> 20: a3911973-7dc3-4f3d-8f39-baeb0b3fbd0d  5.22167868   0.7561287
#>                                     keys x_domain_x1 x_domain_x2
#>                                   <char>       <num>       <num>