constantrateearlystop.go 2.1 KB

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  1. /*
  2. * MIT License
  3. *
  4. * Copyright (c) 2020 Alexey Edelev <semlanik@gmail.com>
  5. *
  6. * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork
  7. *
  8. * Permission is hereby granted, free of charge, to any person obtaining a copy of this
  9. * software and associated documentation files (the "Software"), to deal in the Software
  10. * without restriction, including without limitation the rights to use, copy, modify,
  11. * merge, publish, distribute, sublicense, and/or sell copies of the Software, and
  12. * to permit persons to whom the Software is furnished to do so, subject to the following
  13. * conditions:
  14. *
  15. * The above copyright notice and this permission notice shall be included in all copies
  16. * or substantial portions of the Software.
  17. *
  18. * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
  19. * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
  20. * PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
  21. * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
  22. * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
  23. * DEALINGS IN THE SOFTWARE.
  24. */
  25. package earlystop
  26. import (
  27. "log"
  28. neuralnetwork "git.semlanik.org/semlanik/NeuralNetwork/neuralnetwork"
  29. training "git.semlanik.org/semlanik/NeuralNetwork/training"
  30. )
  31. type constantRateEarlyStop struct {
  32. network *neuralnetwork.NeuralNetwork
  33. trainer training.Trainer
  34. minFailRate float64
  35. }
  36. func NewConstantRateEarlyStop(minFailRate float64, network *neuralnetwork.NeuralNetwork, trainer training.Trainer) (es *constantRateEarlyStop) {
  37. es = nil
  38. if network == nil || trainer == nil {
  39. return
  40. }
  41. es = &constantRateEarlyStop{
  42. network: network,
  43. trainer: trainer,
  44. minFailRate: minFailRate,
  45. }
  46. return
  47. }
  48. func (es *constantRateEarlyStop) Test() bool {
  49. _, fails, total := es.network.Validate(es.trainer)
  50. log.Printf("Fail count: %v/%v\n", fails, total)
  51. failRate := float64(fails) / float64(total)
  52. return es.minFailRate >= failRate
  53. }
  54. func (es *constantRateEarlyStop) Reset() {
  55. }