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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, xss_extra = NULL, profile = NULL)

Arguments

xss

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

xss_extra

(list of named list() | NULL)
List of named lists of additional information.

profile

(character(1) | NULL)
Name of the mirai compute profile the points are queued for.

ArchiveAsyncFrozen$push_point()

Push a single queued point to the archive.

Usage

ArchiveAsyncFrozen$push_point(xs, xs_extra = NULL, profile = NULL)

Arguments

xs

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

xs_extra

(named list() | NULL)
Named list of additional information.

profile

(character(1) | NULL)
Name of the mirai compute profile the point is queued for.

ArchiveAsyncFrozen$push_running_points()

Push running points to the archive.

Usage

ArchiveAsyncFrozen$push_running_points(xss, xss_extra = NULL)

Arguments

xss

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

xss_extra

(list of named list() | NULL)
List of named lists of additional information.

ArchiveAsyncFrozen$push_running_point()

Push running point to the archive.

Usage

ArchiveAsyncFrozen$push_running_point(xs, xs_extra = NULL)

Arguments

xs

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

xs_extra

(named list() | NULL)
Named list of additional information.

ArchiveAsyncFrozen$push_finished_points()

Push finished points to the archive.

Usage

ArchiveAsyncFrozen$push_finished_points(
  xss,
  yss,
  xss_extra = NULL,
  yss_extra = NULL
)

Arguments

xss

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

yss

(list of named list())
List of named lists of results.

xss_extra

(list of named list() | NULL)
List of named lists of additional information.

yss_extra

(list of named list() | NULL)
List of named lists of additional information.

ArchiveAsyncFrozen$push_finished_point()

Push a single finished point to the archive.

Usage

ArchiveAsyncFrozen$push_finished_point(
  xs,
  ys,
  xs_extra = NULL,
  ys_extra = NULL
)

Arguments

xs

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

ys

(named list())
Named list of results.

xs_extra

(named list() | NULL)
Named list of additional information.

ys_extra

(named list() | NULL)
Named list of additional information.

ArchiveAsyncFrozen$push_failed_points()

Push failed points to the archive.

Usage

ArchiveAsyncFrozen$push_failed_points(xss, xss_extra = NULL, conditions = NULL)

Arguments

xss

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

xss_extra

(list of named list() | NULL)
List of named lists of additional information.

conditions

(list | NULL)
List of conditions for each failed point. If NULL, a generic error message is used.

ArchiveAsyncFrozen$push_failed_point()

Push a single failed point to the archive.

Usage

ArchiveAsyncFrozen$push_failed_point(xs, xs_extra = NULL, condition = NULL)

Arguments

xs

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

xs_extra

(named list() | NULL)
Named list of additional information.

condition

(any | NULL)
Condition of the failed point. If NULL, a generic error message is used.

ArchiveAsyncFrozen$pop_point()

Pop a point from the queue.

Usage

ArchiveAsyncFrozen$pop_point()

ArchiveAsyncFrozen$finish_points()

Save the results of multiple running points and move them to the finished points.

Usage

ArchiveAsyncFrozen$finish_points(keys, yss, x_domains, yss_extra = NULL)

Arguments

keys

(character())
Keys of the points.

yss

(list of named list())
List of named lists of results.

x_domains

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

yss_extra

(list of named list() | NULL)
List of named lists of additional information.

ArchiveAsyncFrozen$finish_point()

Save the results of a running point and move it to the finished points.

Usage

ArchiveAsyncFrozen$finish_point(key, ys, x_domain, ys_extra = NULL)

Arguments

key

(character(1))
Key of the point.

ys

(named list())
Named list of results.

x_domain

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

ys_extra

(named list() | NULL)
Named list of additional information.

ArchiveAsyncFrozen$fail_points()

Move multiple running points to the failed points.

Usage

ArchiveAsyncFrozen$fail_points(keys, conditions = NULL)

Arguments

keys

(character())
Keys of the points.

conditions

(list() | NULL)
Conditions of the failed points.

ArchiveAsyncFrozen$fail_point()

Move a running point to the failed points.

Usage

ArchiveAsyncFrozen$fail_point(key, condition = NULL)

Arguments

key

(character(1))
Key of the point.

condition

(any | NULL)
Condition of the failed point.

ArchiveAsyncFrozen$push_result()

Deprecated. Use $finish_point() instead.

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$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 2026-09-18 09:19:02
#>  2: finished -2.62264757  4.2779729  -64.337761 2026-09-18 09:19:02
#>  3: finished  6.84682656  3.2309502  -52.316468 2026-09-18 09:19:03
#>  4: finished -1.96786549 -3.4438612   -5.940969 2026-09-18 09:19:03
#>  5: finished -9.86571338  2.5243351 -161.313432 2026-09-18 09:19:03
#>  6: finished  0.01208465  3.1304511  -31.534238 2026-09-18 09:19:03
#>  7: finished -4.77998488  1.4299587  -55.592729 2026-09-18 09:19:03
#>  8: finished  7.57503606  1.3830058  -40.291767 2026-09-18 09:19:03
#>  9: finished  8.01326577 -2.8537699  -26.180748 2026-09-18 09:19:03
#> 10: finished  5.39871055  2.9134685  -36.520343 2026-09-18 09:19:03
#> 11: finished  4.82894640 -0.2106949   -5.783161 2026-09-18 09:19:03
#> 12: finished  2.92831418 -0.4491262    2.631276 2026-09-18 09:19:03
#> 13: finished -2.48881904  1.6091926  -31.394153 2026-09-18 09:19:03
#> 14: finished  2.11332211  1.0427817   -6.356925 2026-09-18 09:19:03
#> 15: finished  0.87403046  4.3072392  -44.663553 2026-09-18 09:19:03
#> 16: finished -5.88500581 -0.9916228  -56.206896 2026-09-18 09:19:03
#> 17: finished  4.08136954  3.9785972  -43.032918 2026-09-18 09:19:03
#> 18: finished -7.80489880 -3.6260806  -86.528017 2026-09-18 09:19:03
#> 19: finished -9.37102033 -3.4632716 -119.514724 2026-09-18 09:19:03
#> 20: finished  5.22167868  0.7561287  -14.487716 2026-09-18 09:19:03
#>        state          x1         x2           y        timestamp_xs
#>       <char>       <num>      <num>       <num>              <POSc>
#>                                      worker_id        timestamp_ys
#>                                         <char>              <POSc>
#>  1: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:02
#>  2: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:02
#>  3: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#>  4: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#>  5: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#>  6: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#>  7: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#>  8: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#>  9: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 10: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 11: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 12: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 13: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 14: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 15: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 16: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 17: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 18: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 19: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#> 20: artsycraftsy_easteuropeanshepherd_7ae71a03 2026-09-18 09:19:03
#>                                      worker_id        timestamp_ys
#>                                         <char>              <POSc>
#>                                     keys x_domain_x1 x_domain_x2
#>                                   <char>       <num>       <num>
#>  1: c1e501e2-9dfb-495f-aa18-37c8d9a3e923 -6.21358293   0.2769503
#>  2: a600f333-8563-4b20-8b92-c4f7cb5858fc -2.62264757   4.2779729
#>  3: 024e62ab-9f06-4692-8161-2d9595df6dde  6.84682656   3.2309502
#>  4: 0e442032-88c3-483e-99bd-81881b59c419 -1.96786549  -3.4438612
#>  5: 546baac8-82d9-4cfd-b12c-c0b066a643ac -9.86571338   2.5243351
#>  6: 7675ba70-2d4a-4bf5-bad1-9d61d0336099  0.01208465   3.1304511
#>  7: 3d897b57-e5e7-404c-9548-f8c190fbff66 -4.77998488   1.4299587
#>  8: ae513452-8de4-428f-99a9-8dbcde55fc0a  7.57503606   1.3830058
#>  9: 855b8ee8-0c11-41e8-bf48-e8437149c9bb  8.01326577  -2.8537699
#> 10: b5879775-2574-4f18-9de7-d2d2058f59b3  5.39871055   2.9134685
#> 11: 9798502e-b654-4e71-86ab-655ee69b1f2d  4.82894640  -0.2106949
#> 12: e4bb9f37-d7a2-4a02-b9a3-4ee0515c53db  2.92831418  -0.4491262
#> 13: ae76729f-87fb-494b-b269-dafe0cfc3e37 -2.48881904   1.6091926
#> 14: b1c5ed58-ae5b-4f14-944f-305686a73dfc  2.11332211   1.0427817
#> 15: 9b737eec-90b8-4fb0-b25a-6608020e4780  0.87403046   4.3072392
#> 16: eb4b8630-9cc0-4eb4-a930-020a147d072a -5.88500581  -0.9916228
#> 17: 54de1bb8-1204-49bd-bb50-bc6618e9f8d7  4.08136954   3.9785972
#> 18: 5ae417c7-6644-4d57-bb6b-9411710eca92 -7.80489880  -3.6260806
#> 19: 2ff9bc0e-a4e0-4d9a-ac65-b37b09a250e5 -9.37102033  -3.4632716
#> 20: 88ed2f8d-4f98-4878-aaec-2362b3484ab6  5.22167868   0.7561287
#>                                     keys x_domain_x1 x_domain_x2
#>                                   <char>       <num>       <num>