# frozen_string_literal: true
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Auto-generated by gapic-generator-ruby. DO NOT EDIT!
module Google
module Cloud
module AutoML
module V1beta1
# The data statistics of a series of values that share the same DataType.
# @!attribute [rw] float64_stats
# @return [Google::Cloud::AutoML::V1beta1::Float64Stats]
# The statistics for FLOAT64 DataType.
# @!attribute [rw] string_stats
# @return [Google::Cloud::AutoML::V1beta1::StringStats]
# The statistics for STRING DataType.
# @!attribute [rw] timestamp_stats
# @return [Google::Cloud::AutoML::V1beta1::TimestampStats]
# The statistics for TIMESTAMP DataType.
# @!attribute [rw] array_stats
# @return [Google::Cloud::AutoML::V1beta1::ArrayStats]
# The statistics for ARRAY DataType.
# @!attribute [rw] struct_stats
# @return [Google::Cloud::AutoML::V1beta1::StructStats]
# The statistics for STRUCT DataType.
# @!attribute [rw] category_stats
# @return [Google::Cloud::AutoML::V1beta1::CategoryStats]
# The statistics for CATEGORY DataType.
# @!attribute [rw] distinct_value_count
# @return [Integer]
# The number of distinct values.
# @!attribute [rw] null_value_count
# @return [Integer]
# The number of values that are null.
# @!attribute [rw] valid_value_count
# @return [Integer]
# The number of values that are valid.
class DataStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
# The data statistics of a series of FLOAT64 values.
# @!attribute [rw] mean
# @return [Float]
# The mean of the series.
# @!attribute [rw] standard_deviation
# @return [Float]
# The standard deviation of the series.
# @!attribute [rw] quantiles
# @return [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.
# @!attribute [rw] histogram_buckets
# @return [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"`.
class Float64Stats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
# A bucket of a histogram.
# @!attribute [rw] min
# @return [Float]
# The minimum value of the bucket, inclusive.
# @!attribute [rw] max
# @return [Float]
# The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
# which case it's inclusive.
# @!attribute [rw] count
# @return [Integer]
# The number of data values that are in the bucket, i.e. are between
# min and max values.
class HistogramBucket
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
end
# The data statistics of a series of STRING values.
# @!attribute [rw] top_unigram_stats
# @return [Array<Google::Cloud::AutoML::V1beta1::StringStats::UnigramStats>]
# The statistics of the top 20 unigrams, ordered by
# {Google::Cloud::AutoML::V1beta1::StringStats::UnigramStats#count count}.
class StringStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
# The statistics of a unigram.
# @!attribute [rw] value
# @return [String]
# The unigram.
# @!attribute [rw] count
# @return [Integer]
# The number of occurrences of this unigram in the series.
class UnigramStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
end
# The data statistics of a series of TIMESTAMP values.
# @!attribute [rw] granular_stats
# @return [Google::Protobuf::Map{String => Google::Cloud::AutoML::V1beta1::TimestampStats::GranularStats}]
# The string key is the pre-defined granularity. Currently supported:
# hour_of_day, day_of_week, month_of_year.
# Granularities finer that the granularity of timestamp data are not
# populated (e.g. if timestamps are at day granularity, then hour_of_day
# is not populated).
class TimestampStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
# Stats split by a defined in context granularity.
# @!attribute [rw] buckets
# @return [Google::Protobuf::Map{Integer => Integer}]
# A map from granularity key to example count for that key.
# E.g. for hour_of_day `13` means 1pm, or for month_of_year `5` means May).
class GranularStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
# @!attribute [rw] key
# @return [Integer]
# @!attribute [rw] value
# @return [Integer]
class BucketsEntry
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
end
# @!attribute [rw] key
# @return [String]
# @!attribute [rw] value
# @return [Google::Cloud::AutoML::V1beta1::TimestampStats::GranularStats]
class GranularStatsEntry
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
end
# The data statistics of a series of ARRAY values.
# @!attribute [rw] member_stats
# @return [Google::Cloud::AutoML::V1beta1::DataStats]
# Stats of all the values of all arrays, as if they were a single long
# series of data. The type depends on the element type of the array.
class ArrayStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
# The data statistics of a series of STRUCT values.
# @!attribute [rw] field_stats
# @return [Google::Protobuf::Map{String => Google::Cloud::AutoML::V1beta1::DataStats}]
# Map from a field name of the struct to data stats aggregated over series
# of all data in that field across all the structs.
class StructStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
# @!attribute [rw] key
# @return [String]
# @!attribute [rw] value
# @return [Google::Cloud::AutoML::V1beta1::DataStats]
class FieldStatsEntry
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
end
# The data statistics of a series of CATEGORY values.
# @!attribute [rw] top_category_stats
# @return [Array<Google::Cloud::AutoML::V1beta1::CategoryStats::SingleCategoryStats>]
# The statistics of the top 20 CATEGORY values, ordered by
#
# {Google::Cloud::AutoML::V1beta1::CategoryStats::SingleCategoryStats#count count}.
class CategoryStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
# The statistics of a single CATEGORY value.
# @!attribute [rw] value
# @return [String]
# The CATEGORY value.
# @!attribute [rw] count
# @return [Integer]
# The number of occurrences of this value in the series.
class SingleCategoryStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
end
# A correlation statistics between two series of DataType values. The series
# may have differing DataType-s, but within a single series the DataType must
# be the same.
# @!attribute [rw] cramers_v
# @return [Float]
# The correlation value using the Cramer's V measure.
class CorrelationStats
include Google::Protobuf::MessageExts
extend Google::Protobuf::MessageExts::ClassMethods
end
end
end
end
end