config_dump_15_53_47.yaml 7.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211
  1. !munch.Munch
  2. classifier: !munch.Munch
  3. include_channels: [20]
  4. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  5. args:
  6. - !!python/name:numpy.ndarray ''
  7. - !!python/tuple [0]
  8. - !!binary |
  9. Yg==
  10. state: !!python/tuple
  11. - 1
  12. - !!python/tuple [8]
  13. - !!python/object/apply:numpy.dtype
  14. args: [i8, 0, 1]
  15. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  16. - false
  17. - !!binary |
  18. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  19. AAAAAAAAAA==
  20. psth: !munch.Munch
  21. cut: [-40, 100]
  22. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  23. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  24. thr_window: 40
  25. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  26. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  27. online: false
  28. saved_model_conf_name: config/model_conf.yaml
  29. exclude_data_channels: []
  30. thr_prob: 0.8
  31. trigger_pos: start
  32. break_loop: true
  33. n_neg_train: 100000
  34. n_triggers: 2
  35. max_active_ch_nr: []
  36. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  37. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  38. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  39. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  40. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  41. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  42. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  43. n_classes: 2
  44. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  45. deadtime: 40
  46. n_features: 1024
  47. plot: !munch.Munch
  48. filter_min_rate: 2
  49. pca: false
  50. channels: [96, 98]
  51. fps: 10.0
  52. system: !munch.Munch {plot: 0}
  53. general: !munch.Munch {debug: 1, clear_trial_history: false}
  54. recording: !munch.Munch
  55. timing: !munch.Munch {decoder_refresh_interval: 0.01, t_baseline_1: 5.0, t_baseline_rand: 1.0,
  56. t_response: 5.0, bci_loop_interval: 0.05, t_baseline_all: 1.0, recording_loop_interval: 0.05,
  57. recording_loop_interval_data: 0.02, t_after_stimulus: 0.5}
  58. speller: !munch.Munch {pyttsx_rate: 100, speller_matrix: true, audio: true, type: feedback,
  59. audio_result_fb: true}
  60. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  61. daq: !munch.Munch
  62. fs: 30000.0
  63. normalization: !munch.Munch
  64. update_interval: 10.0
  65. range: [10, 90]
  66. use_all_channels: false
  67. clamp_firing_rates: true
  68. do_update: false
  69. len: 600.0
  70. channels:
  71. - !munch.Munch {id: 20, bottom: 3.0, top: 6.0, invert: true}
  72. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  73. spike_band_power: !munch.Munch
  74. average_n_bins: 10
  75. sample_group: 6
  76. loop_interval: 50
  77. filter: !munch.Munch
  78. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  79. a: [1, -1.91119706742607, 0.914975834801434]
  80. integrated_samples: 1500
  81. trigger_len: 50
  82. car_channels: []
  83. data_source: spike_rates
  84. daq_sleep: 0.1
  85. exclude_channels: []
  86. smpl_fct: 30
  87. n_channels_max: 128
  88. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  89. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  90. n_channels: 128
  91. paradigms: !munch.Munch
  92. training_color: !munch.Munch
  93. mode: [Training]
  94. selected_mode: 0
  95. states:
  96. - - gelb
  97. - [E, A, D, C, B, F, ^]
  98. - - gruen
  99. - [N, S, R, O, M, P, Q, ^]
  100. - - rot
  101. - [I, H, L, G, K, J, ^]
  102. - - blau
  103. - [T, U, W, Z, V, Y, X, ^]
  104. - - weiss
  105. - [<, ' ', '?', word, end, ^]
  106. training_string: Gustav
  107. confirmation_yes: 1
  108. confirmation_no: 1
  109. feedback: !munch.Munch
  110. mode: [Training, Validation]
  111. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  112. symmetrical: true
  113. play_end_feedback: !munch.Munch {success: true, fail: true}
  114. audio_path: /kiap/data/speller/feedback/
  115. selected_mode: 0
  116. number_of_stim: 10
  117. states: !munch.Munch
  118. down: [0.0, 0.0, 0.3]
  119. up: [1.0, 0.7, 1.0]
  120. variablesToShowInGUI: !munch.Munch
  121. variableGroups: [timing, color]
  122. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  123. t: 1
  124. question: !munch.Munch
  125. mode: [Training, Validation, Free]
  126. selected_mode: 2
  127. audio_path: /kiap/data/speller/Audio/question
  128. number_of_stim: 10
  129. symmetrical: true
  130. color: !munch.Munch
  131. mode: [Validation, Free]
  132. selected_mode: 1
  133. states:
  134. - - gelb
  135. - [E, A, D, C, B, F, ^]
  136. - - gruen
  137. - [N, S, R, O, M, P, Q, ^]
  138. - - rot
  139. - [I, H, L, G, K, J, ^]
  140. - - blau
  141. - [T, U, W, Z, V, Y, X, ^]
  142. - - weiss
  143. - [<, ' ', end, ^]
  144. max_length_vocabulary: 5
  145. confirmation_methods: [single, double_yes, best_of_three]
  146. selected_confirmation_method: 1
  147. corpora_path: /kiap/data/speller/Corpora
  148. audio_path: /kiap/data/speller/Audio
  149. general_corpus: cfd_tiger.p
  150. general_user_corpus: general_user_cfd.txt
  151. speller_user_corpus: speller_user.txt
  152. word_prediction: false
  153. validation_string: ''
  154. init_string: ''
  155. n_repeat_unclassified: 1
  156. exploration: !munch.Munch
  157. mode: [Screening]
  158. selected_mode: 0
  159. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  160. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  161. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  162. audio_path: /kiap/data/speller/Audio/exploration
  163. number_of_stim: 5
  164. buffer: !munch.Munch
  165. length: 600
  166. shape: [600, 128]
  167. lfp: !munch.Munch
  168. fs: 1000
  169. sampling_ratio: 30
  170. filter_fc_lb: [10, 0]
  171. filter_fc_mb: [12, 40]
  172. filter_fc_hb: [60, 250]
  173. filter_order_lb: 2
  174. filter_order_mb: 6
  175. filter_order_hb: 10
  176. artifact_thr: 400
  177. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  178. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  179. array21: [0, 1]
  180. array22: []
  181. array1_exclude: []
  182. array2_exclude: []
  183. i_start: 0
  184. i_stop: -1
  185. psth_win: [-1000, 5000]
  186. exclude: false
  187. normalize: false
  188. zscore: false
  189. car: true
  190. sub_band: 1
  191. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  192. spectra: !munch.Munch {spgr_len: 500}
  193. plot: !munch.Munch
  194. ch_ids: [0]
  195. general: true
  196. filters: false
  197. array2: [0, 1]
  198. feedback: !munch.Munch {feedback_tone: true, beta: 120, target_tone_length: 1.0, target_n_tones: 5,
  199. hold_iterations: 2, alpha: 360, tone_length: 0.25}
  200. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  201. session: !munch.Munch
  202. flags: !munch.Munch {bl: true, stimulus: true, bl_rand: true, decode: false}
  203. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  204. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-15,
  205. filename_data: /data/clinical/neural/fr/2020-01-15/data_15_53_47.bin, filename_baseline: /data/clinical/neural/fr/2020-01-15/bl_15_53_47.npy,
  206. filename_log_info: /data/clinical/neural/fr/2020-01-15/info_15_53_47.log, filename_log_debug: /data/clinical/neural/fr/2020-01-15/debug_15_53_47.log,
  207. filename_events: /data/clinical/neural/fr/2020-01-15/events_15_53_47.txt, filename_config: /data/clinical/neural/fr/2020-01-15/config_15_53_47.yaml,
  208. filename_paradigm: /data/clinical/neural/fr/2020-01-15/paradigm_15_53_47.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-15/config_dump_15_53_47.yaml,
  209. filename_git_patch: /data/clinical/neural/fr/2020-01-15/git_changes_15_53_47.patch,
  210. filename_history: /data/clinical/neural/fr/2020-01-15/history.bin, git_hash: 52c204f}
  211. sim_data: !munch.Munch {rate_bl: 10}