Reference documentation and code samples for the Cloud AutoML V1beta1 API class Google::Cloud::AutoML::V1beta1::Float64Stats.
The data statistics of a series of FLOAT64 values.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#histogram_buckets
def histogram_buckets() -> ::Array<::Google::Cloud::AutoML::V1beta1::Float64Stats::HistogramBucket>
Returns
-
(::Array<::Google::Cloud::AutoML::V1beta1::Float64Stats::HistogramBucket>) — Histogram buckets of the data series. Sorted by the min value of the
bucket, ascendingly, and the number of the buckets is dynamically
generated. The buckets are non-overlapping and completely cover whole
FLOAT64 range with min of first bucket being
"-Infinity", and max of the last one being"Infinity".
#histogram_buckets=
def histogram_buckets=(value) -> ::Array<::Google::Cloud::AutoML::V1beta1::Float64Stats::HistogramBucket>
Parameter
-
value (::Array<::Google::Cloud::AutoML::V1beta1::Float64Stats::HistogramBucket>) — Histogram buckets of the data series. Sorted by the min value of the
bucket, ascendingly, and the number of the buckets is dynamically
generated. The buckets are non-overlapping and completely cover whole
FLOAT64 range with min of first bucket being
"-Infinity", and max of the last one being"Infinity".
Returns
-
(::Array<::Google::Cloud::AutoML::V1beta1::Float64Stats::HistogramBucket>) — Histogram buckets of the data series. Sorted by the min value of the
bucket, ascendingly, and the number of the buckets is dynamically
generated. The buckets are non-overlapping and completely cover whole
FLOAT64 range with min of first bucket being
"-Infinity", and max of the last one being"Infinity".
#mean
def mean() -> ::Float
Returns
- (::Float) — The mean of the series.
#mean=
def mean=(value) -> ::Float
Parameter
- value (::Float) — The mean of the series.
Returns
- (::Float) — The mean of the series.
#quantiles
def quantiles() -> ::Array<::Float>
Returns
- (::Array<::Float>) — Ordered from 0 to k k-quantile values of the data series of n values. The value at index i is, approximately, the i*n/k-th smallest value in the series; for i = 0 and i = k these are, respectively, the min and max values.
#quantiles=
def quantiles=(value) -> ::Array<::Float>
Parameter
- value (::Array<::Float>) — Ordered from 0 to k k-quantile values of the data series of n values. The value at index i is, approximately, the i*n/k-th smallest value in the series; for i = 0 and i = k these are, respectively, the min and max values.
Returns
- (::Array<::Float>) — Ordered from 0 to k k-quantile values of the data series of n values. The value at index i is, approximately, the i*n/k-th smallest value in the series; for i = 0 and i = k these are, respectively, the min and max values.
#standard_deviation
def standard_deviation() -> ::Float
Returns
- (::Float) — The standard deviation of the series.
#standard_deviation=
def standard_deviation=(value) -> ::Float
Parameter
- value (::Float) — The standard deviation of the series.
Returns
- (::Float) — The standard deviation of the series.