Class: Google::Cloud::AIPlatform::V1::StudySpec::StudyStoppingConfig
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::StudySpec::StudyStoppingConfig
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/aiplatform/v1/study.rb
Overview
The configuration (stopping conditions) for automated stopping of a Study. Conditions include trial budgets, time budgets, and convergence detection.
Instance Attribute Summary collapse
-
#max_duration_no_progress ⇒ ::Google::Protobuf::Duration
If the objective value has not improved for this much time, stop the study.
-
#max_num_trials ⇒ ::Google::Protobuf::Int32Value
If there are more than this many trials, stop the study.
-
#max_num_trials_no_progress ⇒ ::Google::Protobuf::Int32Value
If the objective value has not improved for this many consecutive trials, stop the study.
-
#maximum_runtime_constraint ⇒ ::Google::Cloud::AIPlatform::V1::StudyTimeConstraint
If the specified time or duration has passed, stop the study.
-
#min_num_trials ⇒ ::Google::Protobuf::Int32Value
If there are fewer than this many COMPLETED trials, do not stop the study.
-
#minimum_runtime_constraint ⇒ ::Google::Cloud::AIPlatform::V1::StudyTimeConstraint
Each "stopping rule" in this proto specifies an "if" condition.
-
#should_stop_asap ⇒ ::Google::Protobuf::BoolValue
If true, a Study enters STOPPING_ASAP whenever it would normally enters STOPPING state.
Instance Attribute Details
#max_duration_no_progress ⇒ ::Google::Protobuf::Duration
Returns If the objective value has not improved for this much time, stop the study.
WARNING: Effective only for single-objective studies.
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 633 class StudyStoppingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#max_num_trials ⇒ ::Google::Protobuf::Int32Value
Returns If there are more than this many trials, stop the study.
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 633 class StudyStoppingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#max_num_trials_no_progress ⇒ ::Google::Protobuf::Int32Value
Returns If the objective value has not improved for this many consecutive trials, stop the study.
WARNING: Effective only for single-objective studies.
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 633 class StudyStoppingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#maximum_runtime_constraint ⇒ ::Google::Cloud::AIPlatform::V1::StudyTimeConstraint
Returns If the specified time or duration has passed, stop the study.
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 633 class StudyStoppingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#min_num_trials ⇒ ::Google::Protobuf::Int32Value
Returns If there are fewer than this many COMPLETED trials, do not stop the study.
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 633 class StudyStoppingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#minimum_runtime_constraint ⇒ ::Google::Cloud::AIPlatform::V1::StudyTimeConstraint
Returns Each "stopping rule" in this proto specifies an "if" condition. Before
Vizier would generate a new suggestion, it first checks each specified
stopping rule, from top to bottom in this list.
Note that the first few rules (e.g. minimum_runtime_constraint,
min_num_trials) will prevent other stopping rules from being evaluated
until they are met. For example, setting min_num_trials=5
and
always_stop_after= 1 hour
means that the Study will ONLY stop after it
has 5 COMPLETED trials, even if more than an hour has passed since its
creation. It follows the first applicable rule (whose "if" condition is
satisfied) to make a stopping decision. If none of the specified rules
are applicable, then Vizier decides that the study should not stop.
If Vizier decides that the study should stop, the study enters
STOPPING state (or STOPPING_ASAP if should_stop_asap = true).
IMPORTANT: The automatic study state transition happens precisely as
described above; that is, deleting trials or updating StudyConfig NEVER
automatically moves the study state back to ACTIVE. If you want to
resume a Study that was stopped, 1) change the stopping conditions if
necessary, 2) activate the study, and then 3) ask for suggestions.
If the specified time or duration has not passed, do not stop the
study.
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 633 class StudyStoppingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#should_stop_asap ⇒ ::Google::Protobuf::BoolValue
Returns If true, a Study enters STOPPING_ASAP whenever it would normally enters STOPPING state.
The bottom line is: set to true if you want to interrupt on-going evaluations of Trials as soon as the study stopping condition is met. (Please see Study.State documentation for the source of truth).
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 633 class StudyStoppingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |