config_dump_13_21_41.yaml 7.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211
  1. !munch.Munch
  2. daq: !munch.Munch
  3. car_channels: []
  4. daq_sleep: 0.1
  5. trigger_len: 50
  6. smpl_fct: 30
  7. n_channels_max: 128
  8. normalization: !munch.Munch
  9. do_update: false
  10. len: 600.0
  11. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  12. update_interval: 10.0
  13. range: [10, 90]
  14. use_all_channels: false
  15. channels:
  16. - !munch.Munch {id: 20, bottom: 2.0, top: 5.0, invert: true}
  17. clamp_firing_rates: true
  18. data_source: spike_rates
  19. spike_band_power: !munch.Munch
  20. sample_group: 6
  21. integrated_samples: 1500
  22. average_n_bins: 10
  23. filter: !munch.Munch
  24. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  25. a: [1, -1.91119706742607, 0.914975834801434]
  26. loop_interval: 50
  27. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  28. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  29. exclude_channels: []
  30. fs: 30000.0
  31. n_channels: 128
  32. classifier: !munch.Munch
  33. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  34. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  35. args:
  36. - !!python/name:numpy.ndarray ''
  37. - !!python/tuple [0]
  38. - !!binary |
  39. Yg==
  40. state: !!python/tuple
  41. - 1
  42. - !!python/tuple [8]
  43. - !!python/object/apply:numpy.dtype
  44. args: [i8, 0, 1]
  45. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  46. - false
  47. - !!binary |
  48. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  49. AAAAAAAAAA==
  50. thr_window: 40
  51. n_neg_train: 100000
  52. include_channels: [20]
  53. exclude_data_channels: []
  54. psth: !munch.Munch
  55. cut: [-40, 100]
  56. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  57. online: false
  58. deadtime: 40
  59. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  60. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  61. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  62. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  63. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  64. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  65. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  66. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  67. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  68. break_loop: true
  69. thr_prob: 0.8
  70. trigger_pos: start
  71. saved_model_conf_name: config/model_conf.yaml
  72. n_triggers: 2
  73. max_active_ch_nr: []
  74. n_classes: 2
  75. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  76. n_features: 1024
  77. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  78. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-12-26,
  79. filename_data: /data/clinical/neural/fr/2019-12-26/data_13_21_41.bin, filename_baseline: /data/clinical/neural/fr/2019-12-26/bl_13_21_41.npy,
  80. filename_log_info: /data/clinical/neural/fr/2019-12-26/info_13_21_41.log, filename_log_debug: /data/clinical/neural/fr/2019-12-26/debug_13_21_41.log,
  81. filename_events: /data/clinical/neural/fr/2019-12-26/events_13_21_41.txt, filename_config: /data/clinical/neural/fr/2019-12-26/config_13_21_41.yaml,
  82. filename_paradigm: /data/clinical/neural/fr/2019-12-26/paradigm_13_21_41.yaml, filename_config_dump: /data/clinical/neural/fr/2019-12-26/config_dump_13_21_41.yaml,
  83. filename_git_patch: /data/clinical/neural/fr/2019-12-26/git_changes_13_21_41.patch,
  84. filename_history: /data/clinical/neural/fr/2019-12-26/history.bin, git_hash: 52c204f}
  85. general: !munch.Munch {debug: 1, clear_trial_history: false}
  86. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  87. buffer: !munch.Munch
  88. length: 600
  89. shape: [600, 128]
  90. plot: !munch.Munch
  91. pca: false
  92. channels: [96, 98]
  93. filter_min_rate: 2
  94. fps: 10.0
  95. feedback: !munch.Munch {beta: 120, feedback_tone: true, target_n_tones: 5, alpha: 360,
  96. hold_iterations: 2, target_tone_length: 1.0, tone_length: 0.25}
  97. speller: !munch.Munch {pyttsx_rate: 100, type: color, speller_matrix: true, audio: true,
  98. audio_result_fb: true}
  99. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  100. paradigms: !munch.Munch
  101. color: !munch.Munch
  102. corpora_path: /kiap/data/speller/Corpora
  103. speller_user_corpus: speller_user.txt
  104. validation_string: ''
  105. word_prediction: false
  106. mode: [Validation, Free]
  107. max_length_vocabulary: 5
  108. init_string: ''
  109. n_repeat_unclassified: 1
  110. general_corpus: cfd_tiger.p
  111. general_user_corpus: general_user_cfd.txt
  112. audio_path: /kiap/data/speller/Audio
  113. selected_confirmation_method: 1
  114. states:
  115. - - gelb
  116. - [E, A, D, C, B, F, ^]
  117. - - gruen
  118. - [N, S, R, O, M, P, Q, ^]
  119. - - rot
  120. - [I, H, L, G, K, J, ^]
  121. - - blau
  122. - [T, U, W, Z, V, Y, X, ^]
  123. - - weiss
  124. - [<, ' ', end, ^]
  125. confirmation_methods: [single, double_yes, best_of_three]
  126. selected_mode: 1
  127. variablesToShowInGUI: !munch.Munch
  128. variableGroups: [timing, color]
  129. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  130. t: 1
  131. feedback: !munch.Munch
  132. symmetrical: true
  133. mode: [Training, Validation]
  134. play_end_feedback: !munch.Munch {success: true, fail: true}
  135. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  136. number_of_stim: 10
  137. audio_path: /kiap/data/speller/feedback/
  138. states: !munch.Munch
  139. down: [0.0, 0.0, 0.3]
  140. up: [1.0, 0.7, 1.0]
  141. selected_mode: 0
  142. training_color: !munch.Munch
  143. mode: [Training]
  144. selected_mode: 0
  145. states:
  146. - - gelb
  147. - [E, A, D, C, B, F, ^]
  148. - - gruen
  149. - [N, S, R, O, M, P, Q, ^]
  150. - - rot
  151. - [I, H, L, G, K, J, ^]
  152. - - blau
  153. - [T, U, W, Z, V, Y, X, ^]
  154. - - weiss
  155. - [<, ' ', '?', word, end, ^]
  156. training_string: Gustav
  157. confirmation_yes: 1
  158. confirmation_no: 1
  159. exploration: !munch.Munch
  160. mode: [Screening]
  161. selected_mode: 0
  162. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  163. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  164. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  165. audio_path: /kiap/data/speller/Audio/exploration
  166. number_of_stim: 5
  167. question: !munch.Munch
  168. mode: [Training, Validation, Free]
  169. selected_mode: 2
  170. audio_path: /kiap/data/speller/Audio/question
  171. number_of_stim: 10
  172. symmetrical: true
  173. session: !munch.Munch
  174. flags: !munch.Munch {stimulus: true, bl: true, decode: false, bl_rand: true}
  175. system: !munch.Munch {plot: 0}
  176. lfp: !munch.Munch
  177. fs: 1000
  178. sampling_ratio: 30
  179. filter_fc_lb: [10, 0]
  180. filter_fc_mb: [12, 40]
  181. filter_fc_hb: [60, 250]
  182. filter_order_lb: 2
  183. filter_order_mb: 6
  184. filter_order_hb: 10
  185. artifact_thr: 400
  186. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  187. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  188. array21: [0, 1]
  189. array22: []
  190. array1_exclude: []
  191. array2_exclude: []
  192. i_start: 0
  193. i_stop: -1
  194. psth_win: [-1000, 5000]
  195. exclude: false
  196. normalize: false
  197. zscore: false
  198. car: true
  199. sub_band: 1
  200. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  201. spectra: !munch.Munch {spgr_len: 500}
  202. plot: !munch.Munch
  203. ch_ids: [0]
  204. general: true
  205. filters: false
  206. array2: [0, 1]
  207. recording: !munch.Munch
  208. timing: !munch.Munch {recording_loop_interval_data: 0.02, t_after_stimulus: 0.2,
  209. decoder_refresh_interval: 0.01, t_baseline_1: 5.0, bci_loop_interval: 0.05, t_baseline_rand: 1.0,
  210. recording_loop_interval: 0.05, t_response: 5.0, t_baseline_all: 1.0}
  211. sim_data: !munch.Munch {rate_bl: 10}