Distribution
class Distribution extends Message
Distribution
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.
Generated from protobuf message google.api.Distribution
Methods
Constructor.
The number of values in the population. Must be non-negative. This value
must equal the sum of the values in bucket_counts
if a histogram is
provided.
The number of values in the population. Must be non-negative. This value
must equal the sum of the values in bucket_counts
if a histogram is
provided.
The arithmetic mean of the values in the population. If count
is zero
then this field must be zero.
The arithmetic mean of the values in the population. If count
is zero
then this field must be zero.
The sum of squared deviations from the mean of the values in the population. For values x_i this is: Sum[i=1.
The sum of squared deviations from the mean of the values in the population. For values x_i this is: Sum[i=1.
If specified, contains the range of the population values. The field
must not be present if the count
is zero.
Defines the histogram bucket boundaries. If the distribution does not contain a histogram, then omit this field.
Defines the histogram bucket boundaries. If the distribution does not contain a histogram, then omit this field.
The number of values in each bucket of the histogram, as described in
bucket_options
. If the distribution does not have a histogram, then omit
this field. If there is a histogram, then the sum of the values in
bucket_counts
must equal the value in the count
field of the
distribution.
The number of values in each bucket of the histogram, as described in
bucket_options
. If the distribution does not have a histogram, then omit
this field. If there is a histogram, then the sum of the values in
bucket_counts
must equal the value in the count
field of the
distribution.
Must be in increasing order of value
field.
Details
at line 138
__construct(array $data = NULL)
Constructor.
at line 151
int|string
getCount()
The number of values in the population. Must be non-negative. This value
must equal the sum of the values in bucket_counts
if a histogram is
provided.
Generated from protobuf field int64 count = 1;
at line 165
$this
setCount(int|string $var)
The number of values in the population. Must be non-negative. This value
must equal the sum of the values in bucket_counts
if a histogram is
provided.
Generated from protobuf field int64 count = 1;
at line 180
float
getMean()
The arithmetic mean of the values in the population. If count
is zero
then this field must be zero.
Generated from protobuf field double mean = 2;
at line 193
$this
setMean(float $var)
The arithmetic mean of the values in the population. If count
is zero
then this field must be zero.
Generated from protobuf field double mean = 2;
at line 212
float
getSumOfSquaredDeviation()
The sum of squared deviations from the mean of the values in the population. For values x_i this is: Sum[i=1.
.n]((x_i - mean)^2)
Knuth, "The Art of Computer Programming", Vol. 2, page 323, 3rd edition
describes Welford's method for accumulating this sum in one pass.
If count
is zero then this field must be zero.
Generated from protobuf field double sum_of_squared_deviation = 3;
at line 229
$this
setSumOfSquaredDeviation(float $var)
The sum of squared deviations from the mean of the values in the population. For values x_i this is: Sum[i=1.
.n]((x_i - mean)^2)
Knuth, "The Art of Computer Programming", Vol. 2, page 323, 3rd edition
describes Welford's method for accumulating this sum in one pass.
If count
is zero then this field must be zero.
Generated from protobuf field double sum_of_squared_deviation = 3;
at line 244
Range
getRange()
If specified, contains the range of the population values. The field
must not be present if the count
is zero.
Generated from protobuf field .google.api.Distribution.Range range = 4;
at line 257
$this
setRange(Range $var)
If specified, contains the range of the population values. The field
must not be present if the count
is zero.
Generated from protobuf field .google.api.Distribution.Range range = 4;
at line 272
BucketOptions
getBucketOptions()
Defines the histogram bucket boundaries. If the distribution does not contain a histogram, then omit this field.
Generated from protobuf field .google.api.Distribution.BucketOptions bucket_options = 6;
at line 285
$this
setBucketOptions(BucketOptions $var)
Defines the histogram bucket boundaries. If the distribution does not contain a histogram, then omit this field.
Generated from protobuf field .google.api.Distribution.BucketOptions bucket_options = 6;
at line 311
RepeatedField
getBucketCounts()
The number of values in each bucket of the histogram, as described in
bucket_options
. If the distribution does not have a histogram, then omit
this field. If there is a histogram, then the sum of the values in
bucket_counts
must equal the value in the count
field of the
distribution.
If present, bucket_counts
should contain N values, where N is the number
of buckets specified in bucket_options
. If you supply fewer than N
values, the remaining values are assumed to be 0.
The order of the values in bucket_counts
follows 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 in
bucket_counts
is the count for the overflow bucket (number N-1).
Generated from protobuf field repeated int64 bucket_counts = 7;
at line 335
$this
setBucketCounts(int[]|string[]|RepeatedField $var)
The number of values in each bucket of the histogram, as described in
bucket_options
. If the distribution does not have a histogram, then omit
this field. If there is a histogram, then the sum of the values in
bucket_counts
must equal the value in the count
field of the
distribution.
If present, bucket_counts
should contain N values, where N is the number
of buckets specified in bucket_options
. If you supply fewer than N
values, the remaining values are assumed to be 0.
The order of the values in bucket_counts
follows 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 in
bucket_counts
is the count for the overflow bucket (number N-1).
Generated from protobuf field repeated int64 bucket_counts = 7;
at line 349
RepeatedField
getExemplars()
Must be in increasing order of value
field.
Generated from protobuf field repeated .google.api.Distribution.Exemplar exemplars = 10;
at line 361
$this
setExemplars(Exemplar[]|RepeatedField $var)
Must be in increasing order of value
field.
Generated from protobuf field repeated .google.api.Distribution.Exemplar exemplars = 10;