// Copyright 2019 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; import "google/api/annotations.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; 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; }