Mercurial > gemma
annotate pkg/common/nashsutcliffe.go @ 2887:83acca8937de
client: importoverview: improved log style
author | Markus Kottlaender <markus@intevation.de> |
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date | Mon, 01 Apr 2019 18:53:53 +0200 |
parents | 4f66a3ba424b |
children | 014be2194bd1 |
rev | line source |
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1 // This is Free Software under GNU Affero General Public License v >= 3.0 |
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2 // without warranty, see README.md and license for details. |
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3 // |
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4 // SPDX-License-Identifier: AGPL-3.0-or-later |
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5 // License-Filename: LICENSES/AGPL-3.0.txt |
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6 // |
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7 // Copyright (C) 2019 by via donau |
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8 // – Österreichische Wasserstraßen-Gesellschaft mbH |
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9 // Software engineering by Intevation GmbH |
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10 // |
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11 // Author(s): |
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12 // * Sascha L. Teichmann <sascha.teichmann@intevation.de> |
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13 |
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14 package common |
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15 |
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16 import ( |
2878
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17 "math" |
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18 "sort" |
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19 "time" |
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20 ) |
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21 |
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22 type NSMeasurement struct { |
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23 When time.Time |
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24 Predicted float64 |
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25 Observed float64 |
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26 } |
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27 |
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28 func (m NSMeasurement) Valid() bool { |
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29 return !m.When.IsZero() && !math.IsNaN(m.Predicted) && !math.IsNaN(m.Observed) |
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30 } |
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31 |
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32 func NashSutcliffeSort(measurements []NSMeasurement) { |
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33 sort.Slice(measurements, func(i, j int) bool { |
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34 return measurements[i].When.Before(measurements[j].When) |
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35 }) |
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36 } |
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37 |
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38 func NashSutcliffe(measurements []NSMeasurement, from, to time.Time) (float64, int) { |
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39 |
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40 if len(measurements) == 0 { |
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41 return 0, 0 |
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42 } |
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43 |
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44 if to.Before(from) { |
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45 from, to = to, from |
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46 } |
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47 |
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48 begin := sort.Search(len(measurements), func(i int) bool { |
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49 return !measurements[i].When.Before(from) |
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50 }) |
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51 if begin >= len(measurements) { |
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52 return 0, 0 |
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53 } |
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54 |
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55 end := sort.Search(len(measurements), func(i int) bool { |
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56 return measurements[i].When.After(to) |
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57 }) |
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58 if end >= len(measurements) { |
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59 end = len(measurements) - 1 |
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60 } |
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61 if end <= begin { |
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62 return 0, 0 |
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63 } |
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64 sample := measurements[begin:end] |
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65 |
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66 if len(sample) == 0 { |
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67 return 0, 0 |
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68 } |
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69 |
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70 var mo float64 |
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71 for i := range sample { |
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72 mo += sample[i].Observed |
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73 } |
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74 |
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75 mo /= float64(len(sample)) |
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76 |
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77 var num, denom float64 |
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78 for i := range sample { |
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79 d1 := sample[i].Predicted - sample[i].Observed |
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80 num += d1 * d1 |
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81 d2 := sample[i].Observed - mo |
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82 denom += d2 * d2 |
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83 } |
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84 |
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85 return 1 - num/denom, len(sample) |
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86 } |