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PROTO library for proto-google-cloud-automl-v1beta1
// Copyright 2024 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
//
// http://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.
syntax = "proto3";
package google.cloud.automl.v1beta1;
option go_package = "cloud.google.com/go/automl/apiv1beta1/automlpb;automlpb";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
option ruby_package = "Google::Cloud::AutoML::V1beta1";
// The data statistics of a series of values that share the same DataType.
message DataStats {
// The data statistics specific to a DataType.
oneof stats {
// The statistics for FLOAT64 DataType.
Float64Stats float64_stats = 3;
// The statistics for STRING DataType.
StringStats string_stats = 4;
// The statistics for TIMESTAMP DataType.
TimestampStats timestamp_stats = 5;
// The statistics for ARRAY DataType.
ArrayStats array_stats = 6;
// The statistics for STRUCT DataType.
StructStats struct_stats = 7;
// The statistics for CATEGORY DataType.
CategoryStats category_stats = 8;
}
// The number of distinct values.
int64 distinct_value_count = 1;
// The number of values that are null.
int64 null_value_count = 2;
// The number of values that are valid.
int64 valid_value_count = 9;
}
// The data statistics of a series of FLOAT64 values.
message Float64Stats {
// A bucket of a histogram.
message HistogramBucket {
// The minimum value of the bucket, inclusive.
double min = 1;
// The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
// which case it's inclusive.
double max = 2;
// The number of data values that are in the bucket, i.e. are between
// min and max values.
int64 count = 3;
}
// The mean of the series.
double mean = 1;
// The standard deviation of the series.
double standard_deviation = 2;
// 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.
repeated double quantiles = 3;
// 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"`.
repeated HistogramBucket histogram_buckets = 4;
}
// The data statistics of a series of STRING values.
message StringStats {
// The statistics of a unigram.
message UnigramStats {
// The unigram.
string value = 1;
// The number of occurrences of this unigram in the series.
int64 count = 2;
}
// The statistics of the top 20 unigrams, ordered by
// [count][google.cloud.automl.v1beta1.StringStats.UnigramStats.count].
repeated UnigramStats top_unigram_stats = 1;
}
// The data statistics of a series of TIMESTAMP values.
message TimestampStats {
// Stats split by a defined in context granularity.
message GranularStats {
// 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).
map buckets = 1;
}
// 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).
map granular_stats = 1;
}
// The data statistics of a series of ARRAY values.
message ArrayStats {
// 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.
DataStats member_stats = 2;
}
// The data statistics of a series of STRUCT values.
message StructStats {
// Map from a field name of the struct to data stats aggregated over series
// of all data in that field across all the structs.
map field_stats = 1;
}
// The data statistics of a series of CATEGORY values.
message CategoryStats {
// The statistics of a single CATEGORY value.
message SingleCategoryStats {
// The CATEGORY value.
string value = 1;
// The number of occurrences of this value in the series.
int64 count = 2;
}
// The statistics of the top 20 CATEGORY values, ordered by
//
// [count][google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count].
repeated SingleCategoryStats top_category_stats = 1;
}
// 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.
message CorrelationStats {
// The correlation value using the Cramer's V measure.
double cramers_v = 1;
}