Class: Google::Apis::BigqueryV2::BqmlTrainingRun::TrainingOptions
- Inherits:
-
Object
- Object
- Google::Apis::BigqueryV2::BqmlTrainingRun::TrainingOptions
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- generated/google/apis/bigquery_v2/classes.rb,
generated/google/apis/bigquery_v2/representations.rb,
generated/google/apis/bigquery_v2/representations.rb
Overview
[Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
Instance Attribute Summary collapse
-
#early_stop ⇒ Boolean
(also: #early_stop?)
Corresponds to the JSON property
earlyStop
. -
#l1_reg ⇒ Float
Corresponds to the JSON property
l1Reg
. -
#l2_reg ⇒ Float
Corresponds to the JSON property
l2Reg
. -
#learn_rate ⇒ Float
Corresponds to the JSON property
learnRate
. -
#learn_rate_strategy ⇒ String
Corresponds to the JSON property
learnRateStrategy
. -
#line_search_init_learn_rate ⇒ Float
Corresponds to the JSON property
lineSearchInitLearnRate
. -
#max_iteration ⇒ Fixnum
Corresponds to the JSON property
maxIteration
. -
#min_rel_progress ⇒ Float
Corresponds to the JSON property
minRelProgress
. -
#warm_start ⇒ Boolean
(also: #warm_start?)
Corresponds to the JSON property
warmStart
.
Instance Method Summary collapse
-
#initialize(**args) ⇒ TrainingOptions
constructor
A new instance of TrainingOptions.
-
#update!(**args) ⇒ Object
Update properties of this object.
Methods included from Core::JsonObjectSupport
Methods included from Core::Hashable
Constructor Details
#initialize(**args) ⇒ TrainingOptions
Returns a new instance of TrainingOptions.
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 753 def initialize(**args) update!(**args) end |
Instance Attribute Details
#early_stop ⇒ Boolean Also known as: early_stop?
Corresponds to the JSON property earlyStop
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 709 def early_stop @early_stop end |
#l1_reg ⇒ Float
Corresponds to the JSON property l1Reg
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 715 def l1_reg @l1_reg end |
#l2_reg ⇒ Float
Corresponds to the JSON property l2Reg
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 720 def l2_reg @l2_reg end |
#learn_rate ⇒ Float
Corresponds to the JSON property learnRate
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 725 def learn_rate @learn_rate end |
#learn_rate_strategy ⇒ String
Corresponds to the JSON property learnRateStrategy
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 730 def learn_rate_strategy @learn_rate_strategy end |
#line_search_init_learn_rate ⇒ Float
Corresponds to the JSON property lineSearchInitLearnRate
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 735 def line_search_init_learn_rate @line_search_init_learn_rate end |
#max_iteration ⇒ Fixnum
Corresponds to the JSON property maxIteration
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 740 def max_iteration @max_iteration end |
#min_rel_progress ⇒ Float
Corresponds to the JSON property minRelProgress
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 745 def min_rel_progress @min_rel_progress end |
#warm_start ⇒ Boolean Also known as: warm_start?
Corresponds to the JSON property warmStart
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 750 def warm_start @warm_start end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'generated/google/apis/bigquery_v2/classes.rb', line 758 def update!(**args) @early_stop = args[:early_stop] if args.key?(:early_stop) @l1_reg = args[:l1_reg] if args.key?(:l1_reg) @l2_reg = args[:l2_reg] if args.key?(:l2_reg) @learn_rate = args[:learn_rate] if args.key?(:learn_rate) @learn_rate_strategy = args[:learn_rate_strategy] if args.key?(:learn_rate_strategy) @line_search_init_learn_rate = args[:line_search_init_learn_rate] if args.key?(:line_search_init_learn_rate) @max_iteration = args[:max_iteration] if args.key?(:max_iteration) @min_rel_progress = args[:min_rel_progress] if args.key?(:min_rel_progress) @warm_start = args[:warm_start] if args.key?(:warm_start) end |