Class: Google::Apis::NetworkconnectivityV1alpha1::Distribution
- Inherits:
-
Object
- Object
- Google::Apis::NetworkconnectivityV1alpha1::Distribution
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/networkconnectivity_v1alpha1/classes.rb,
lib/google/apis/networkconnectivity_v1alpha1/representations.rb,
lib/google/apis/networkconnectivity_v1alpha1/representations.rb
Overview
Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points
Instance Attribute Summary collapse
-
#bucket_counts ⇒ Array<Fixnum>
The number of samples in each histogram bucket.
-
#count ⇒ Fixnum
The total number of samples in the distribution.
-
#exemplars ⇒ Array<Google::Apis::NetworkconnectivityV1alpha1::Exemplar>
Example points.
-
#explicit_buckets ⇒ Google::Apis::NetworkconnectivityV1alpha1::ExplicitBuckets
Describing buckets with arbitrary user-provided width.
-
#exponential_buckets ⇒ Google::Apis::NetworkconnectivityV1alpha1::ExponentialBuckets
Describing buckets with exponentially growing width.
-
#linear_buckets ⇒ Google::Apis::NetworkconnectivityV1alpha1::LinearBuckets
Describing buckets with constant width.
-
#maximum ⇒ Float
The maximum of the population of values.
-
#mean ⇒ Float
The arithmetic mean of the samples in the distribution.
-
#minimum ⇒ Float
The minimum of the population of values.
-
#sum_of_squared_deviation ⇒ Float
The sum of squared deviations from the mean: Sumi=1..count where each x_i is a sample values.
Instance Method Summary collapse
-
#initialize(**args) ⇒ Distribution
constructor
A new instance of Distribution.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ Distribution
Returns a new instance of Distribution.
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 319 def initialize(**args) update!(**args) end |
Instance Attribute Details
#bucket_counts ⇒ Array<Fixnum>
The number of samples in each histogram bucket. bucket_counts are optional.
If present, they must sum to the count value. The buckets are defined below
in bucket_option. There are N buckets. bucket_counts[0] is the number of
samples in the underflow bucket. bucket_counts[1] to bucket_counts[N-1]
are the numbers of samples in each of the finite buckets. And bucket_counts[N]
is the number of samples in the overflow bucket. See the comments of
bucket_optionbelow for more details. Any suffix of trailing zeros may be
omitted.
Corresponds to the JSON propertybucketCounts`
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 269 def bucket_counts @bucket_counts end |
#count ⇒ Fixnum
The total number of samples in the distribution. Must be >= 0.
Corresponds to the JSON property count
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 274 def count @count end |
#exemplars ⇒ Array<Google::Apis::NetworkconnectivityV1alpha1::Exemplar>
Example points. Must be in increasing order of value field.
Corresponds to the JSON property exemplars
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 279 def exemplars @exemplars end |
#explicit_buckets ⇒ Google::Apis::NetworkconnectivityV1alpha1::ExplicitBuckets
Describing buckets with arbitrary user-provided width.
Corresponds to the JSON property explicitBuckets
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 284 def explicit_buckets @explicit_buckets end |
#exponential_buckets ⇒ Google::Apis::NetworkconnectivityV1alpha1::ExponentialBuckets
Describing buckets with exponentially growing width.
Corresponds to the JSON property exponentialBuckets
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 289 def exponential_buckets @exponential_buckets end |
#linear_buckets ⇒ Google::Apis::NetworkconnectivityV1alpha1::LinearBuckets
Describing buckets with constant width.
Corresponds to the JSON property linearBuckets
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 294 def linear_buckets @linear_buckets end |
#maximum ⇒ Float
The maximum of the population of values. Ignored if count is zero.
Corresponds to the JSON property maximum
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 299 def maximum @maximum end |
#mean ⇒ Float
The arithmetic mean of the samples in the distribution. If count is zero
then this field must be zero.
Corresponds to the JSON property mean
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 305 def mean @mean end |
#minimum ⇒ Float
The minimum of the population of values. Ignored if count is zero.
Corresponds to the JSON property minimum
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 310 def minimum @minimum end |
#sum_of_squared_deviation ⇒ Float
The sum of squared deviations from the mean: Sumi=1..count
where each x_i is a sample values. If count is zero then this field must be
zero, otherwise validation of the request fails.
Corresponds to the JSON property sumOfSquaredDeviation
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 317 def sum_of_squared_deviation @sum_of_squared_deviation end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/networkconnectivity_v1alpha1/classes.rb', line 324 def update!(**args) @bucket_counts = args[:bucket_counts] if args.key?(:bucket_counts) @count = args[:count] if args.key?(:count) @exemplars = args[:exemplars] if args.key?(:exemplars) @explicit_buckets = args[:explicit_buckets] if args.key?(:explicit_buckets) @exponential_buckets = args[:exponential_buckets] if args.key?(:exponential_buckets) @linear_buckets = args[:linear_buckets] if args.key?(:linear_buckets) @maximum = args[:maximum] if args.key?(:maximum) @mean = args[:mean] if args.key?(:mean) @minimum = args[:minimum] if args.key?(:minimum) @sum_of_squared_deviation = args[:sum_of_squared_deviation] if args.key?(:sum_of_squared_deviation) end |