92 lines
2.9 KiB
Go
92 lines
2.9 KiB
Go
/*
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* Copyright (c) 2015 Alex Yatskov <alex@foosoft.net>
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* Author: Alex Yatskov <alex@foosoft.net>
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy of
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* this software and associated documentation files (the "Software"), to deal in
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* the Software without restriction, including without limitation the rights to
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* use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
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* the Software, and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*/
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package main
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import "sort"
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func innerProduct(features1 Features, features2 Features) float32 {
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var result float32
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for key, value1 := range features1 {
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value2, _ := features2[key]
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result += value1 * value2
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}
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return result
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}
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func walkMatches(records Records, features Features, minScore float32, callback func(Record, float32)) {
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for _, record := range records {
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if score := innerProduct(features, record.features); score >= minScore {
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callback(record, score)
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}
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}
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}
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func statRecords(records Records, features Features, minScore float32) RecordStats {
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var stats RecordStats
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walkMatches(records, features, minScore, func(record Record, score float32) {
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stats.compatibility += record.compatibility
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stats.count++
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})
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return stats
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}
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func stepRange(rng Range, steps int, callback func(float32)) {
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stepSize := (rng.max - rng.min) / float32(steps)
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for i := 0; i < steps; i++ {
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stepMax := rng.max - stepSize*float32(i)
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stepMin := stepMax - stepSize
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stepMid := (stepMin + stepMax) / 2
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callback(stepMid)
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}
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}
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func findRecords(records Records, features Features, minScore float32) {
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var foundRecords Records
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walkMatches(records, features, minScore, func(record Record, score float32) {
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foundRecords = append(foundRecords, record)
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})
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sort.Sort(foundRecords)
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}
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func project(records Records, features Features, featureName string, minScore float32, rng Range, steps int) []Projection {
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sampleFeatures := make(Features)
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for key, value := range features {
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sampleFeatures[key] = value
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}
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var projection []Projection
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stepRange(rng, steps, func(sample float32) {
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sampleFeatures[featureName] = sample
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stats := statRecords(records, sampleFeatures, minScore)
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projection = append(projection, Projection{sample: sample, stats: stats})
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})
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return projection
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}
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