GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistribution (google_api_discovery_engine v0.28.0)
View SourceDistribution contains summary statistics for a population of values. It optionally contains a histogram representing the distribution of those values across a set of buckets. The summary statistics are the count, mean, sum of the squared deviation from the mean, the minimum, and the maximum of the set of population of values. The histogram is based on a sequence of buckets and gives a count of values that fall into each bucket. The boundaries of the buckets are given either explicitly or by formulas for buckets of fixed or exponentially increasing widths. Although it is not forbidden, it is generally a bad idea to include non-finite values (infinities or NaNs) in the population of values, as this will render the mean and sum_of_squared_deviation fields meaningless.
Attributes
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bucketCounts(type:list(String.t), default:nil) - The number of values in each bucket of the histogram, as described inbucket_options. If the distribution does not have a histogram, then omit this field. If there is a histogram, then the sum of the values inbucket_countsmust equal the value in thecountfield of the distribution. If present,bucket_countsshould contain N values, where N is the number of buckets specified inbucket_options. If you supply fewer than N values, the remaining values are assumed to be 0. The order of the values inbucket_countsfollows the bucket numbering schemes described for the three bucket types. The first value must be the count for the underflow bucket (number 0). The next N-2 values are the counts for the finite buckets (number 1 through N-2). The N'th value inbucket_countsis the count for the overflow bucket (number N-1). -
bucketOptions(type:GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistributionBucketOptions.t, default:nil) - Defines the histogram bucket boundaries. If the distribution does not contain a histogram, then omit this field. -
count(type:String.t, default:nil) - The number of values in the population. Must be non-negative. This value must equal the sum of the values inbucket_countsif a histogram is provided. -
exemplars(type:list(GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistributionExemplar.t), default:nil) - Must be in increasing order ofvaluefield. -
mean(type:float(), default:nil) - The arithmetic mean of the values in the population. Ifcountis zero then this field must be zero. -
range(type:GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistributionRange.t, default:nil) - If specified, contains the range of the population values. The field must not be present if thecountis zero. -
sumOfSquaredDeviation(type:float(), default:nil) - The sum of squared deviations from the mean of the values in the population. For values x_i this is: Sumi=1..n Knuth, "The Art of Computer Programming", Vol. 2, page 232, 3rd edition describes Welford's method for accumulating this sum in one pass. Ifcountis zero then this field must be zero.
Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Types
@type t() :: %GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistribution{ bucketCounts: [String.t()] | nil, bucketOptions: GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistributionBucketOptions.t() | nil, count: String.t() | nil, exemplars: [GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistributionExemplar.t()] | nil, mean: float() | nil, range: GoogleApi.DiscoveryEngine.V1beta.Model.GoogleApiDistributionRange.t() | nil, sumOfSquaredDeviation: float() | nil }