config_dump_13_44_24.yaml 7.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211
  1. !munch.Munch
  2. speller: !munch.Munch {pyttsx_rate: 100, type: color, audio: true, speller_matrix: true,
  3. audio_result_fb: true}
  4. session: !munch.Munch
  5. flags: !munch.Munch {bl_rand: true, decode: false, stimulus: true, bl: true}
  6. plot: !munch.Munch
  7. pca: false
  8. channels: [96, 98]
  9. filter_min_rate: 2
  10. fps: 10.0
  11. system: !munch.Munch {plot: 0}
  12. sim_data: !munch.Munch {rate_bl: 10}
  13. feedback: !munch.Munch {beta: 120, target_tone_length: 1.0, alpha: 360, feedback_tone: true,
  14. target_n_tones: 5, tone_length: 0.25, hold_iterations: 2}
  15. daq: !munch.Munch
  16. n_channels_max: 128
  17. normalization: !munch.Munch
  18. range: [10, 90]
  19. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  20. update_interval: 10.0
  21. use_all_channels: false
  22. channels:
  23. - !munch.Munch {id: 17, bottom: 5.0, top: 15.0, invert: false}
  24. clamp_firing_rates: true
  25. do_update: false
  26. len: 600.0
  27. daq_sleep: 0.1
  28. smpl_fct: 30
  29. exclude_channels: []
  30. fs: 30000.0
  31. spike_band_power: !munch.Munch
  32. sample_group: 6
  33. loop_interval: 50
  34. integrated_samples: 1500
  35. average_n_bins: 10
  36. filter: !munch.Munch
  37. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  38. a: [1, -1.91119706742607, 0.914975834801434]
  39. trigger_len: 50
  40. car_channels: []
  41. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  42. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  43. data_source: spike_rates
  44. n_channels: 128
  45. paradigms: !munch.Munch
  46. exploration: !munch.Munch
  47. mode: [Screening]
  48. selected_mode: 0
  49. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  50. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  51. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  52. audio_path: /kiap/data/speller/Audio/exploration
  53. number_of_stim: 5
  54. question: !munch.Munch
  55. mode: [Training, Validation, Free]
  56. selected_mode: 2
  57. audio_path: /kiap/data/speller/Audio/question
  58. number_of_stim: 10
  59. symmetrical: true
  60. variablesToShowInGUI: !munch.Munch
  61. variableGroups: [timing, color]
  62. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  63. t: 1
  64. training_color: !munch.Munch
  65. mode: [Training]
  66. selected_mode: 0
  67. states:
  68. - - gelb
  69. - [E, A, D, C, B, F, ^]
  70. - - gruen
  71. - [N, S, R, O, M, P, Q, ^]
  72. - - rot
  73. - [I, H, L, G, K, J, ^]
  74. - - blau
  75. - [T, U, W, Z, V, Y, X, ^]
  76. - - weiss
  77. - [<, ' ', '?', word, end, ^]
  78. training_string: Gustav
  79. confirmation_yes: 1
  80. confirmation_no: 1
  81. feedback: !munch.Munch
  82. mode: [Training, Validation]
  83. audio_path: /kiap/data/speller/feedback/
  84. play_end_feedback: !munch.Munch {success: true, fail: true}
  85. selected_mode: 0
  86. number_of_stim: 10
  87. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  88. symmetrical: true
  89. states: !munch.Munch
  90. up: [1.0, 0.7, 1.0]
  91. down: [0.0, 0.0, 0.3]
  92. color: !munch.Munch
  93. speller_user_corpus: speller_user.txt
  94. general_corpus: cfd_tiger.p
  95. mode: [Validation, Free]
  96. audio_path: /kiap/data/speller/Audio
  97. corpora_path: /kiap/data/speller/Corpora
  98. validation_string: ''
  99. selected_mode: 1
  100. word_prediction: false
  101. init_string: ''
  102. max_length_vocabulary: 5
  103. n_repeat_unclassified: 1
  104. general_user_corpus: general_user_cfd.txt
  105. confirmation_methods: [single, double_yes, best_of_three]
  106. states:
  107. - - gelb
  108. - [E, A, D, C, B, F, ^]
  109. - - gruen
  110. - [N, S, R, O, M, P, Q, ^]
  111. - - rot
  112. - [I, H, L, G, K, J, ^]
  113. - - blau
  114. - [T, U, W, Z, V, Y, X, ^]
  115. - - weiss
  116. - [<, ' ', end, ^]
  117. selected_confirmation_method: 0
  118. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  119. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-08,
  120. filename_data: /data/clinical/neural/fr/2020-01-08/data_13_44_24.bin, filename_baseline: /data/clinical/neural/fr/2020-01-08/bl_13_44_24.npy,
  121. filename_log_info: /data/clinical/neural/fr/2020-01-08/info_13_44_24.log, filename_log_debug: /data/clinical/neural/fr/2020-01-08/debug_13_44_24.log,
  122. filename_events: /data/clinical/neural/fr/2020-01-08/events_13_44_24.txt, filename_config: /data/clinical/neural/fr/2020-01-08/config_13_44_24.yaml,
  123. filename_paradigm: /data/clinical/neural/fr/2020-01-08/paradigm_13_44_24.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-08/config_dump_13_44_24.yaml,
  124. filename_git_patch: /data/clinical/neural/fr/2020-01-08/git_changes_13_44_24.patch,
  125. filename_history: /data/clinical/neural/fr/2020-01-08/history.bin, git_hash: 52c204f}
  126. lfp: !munch.Munch
  127. fs: 1000
  128. sampling_ratio: 30
  129. filter_fc_lb: [10, 0]
  130. filter_fc_mb: [12, 40]
  131. filter_fc_hb: [60, 250]
  132. filter_order_lb: 2
  133. filter_order_mb: 6
  134. filter_order_hb: 10
  135. artifact_thr: 400
  136. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  137. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  138. array21: [0, 1]
  139. array22: []
  140. array1_exclude: []
  141. array2_exclude: []
  142. i_start: 0
  143. i_stop: -1
  144. psth_win: [-1000, 5000]
  145. exclude: false
  146. normalize: false
  147. zscore: false
  148. car: true
  149. sub_band: 1
  150. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  151. spectra: !munch.Munch {spgr_len: 500}
  152. plot: !munch.Munch
  153. ch_ids: [0]
  154. general: true
  155. filters: false
  156. array2: [0, 1]
  157. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  158. buffer: !munch.Munch
  159. length: 600
  160. shape: [600, 128]
  161. classifier: !munch.Munch
  162. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  163. psth: !munch.Munch
  164. cut: [-40, 100]
  165. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  166. trigger_pos: start
  167. n_classes: 2
  168. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  169. args:
  170. - !!python/name:numpy.ndarray ''
  171. - !!python/tuple [0]
  172. - !!binary |
  173. Yg==
  174. state: !!python/tuple
  175. - 1
  176. - !!python/tuple [8]
  177. - !!python/object/apply:numpy.dtype
  178. args: [i8, 0, 1]
  179. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  180. - false
  181. - !!binary |
  182. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  183. AAAAAAAAAA==
  184. exclude_data_channels: []
  185. thr_prob: 0.8
  186. break_loop: true
  187. saved_model_conf_name: config/model_conf.yaml
  188. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  189. deadtime: 40
  190. n_triggers: 2
  191. include_channels: [20]
  192. n_neg_train: 100000
  193. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  194. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  195. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  196. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  197. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  198. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  199. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  200. online: false
  201. thr_window: 40
  202. max_active_ch_nr: []
  203. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  204. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  205. n_features: 1024
  206. recording: !munch.Munch
  207. timing: !munch.Munch {t_after_stimulus: 0.2, bci_loop_interval: 0.05, recording_loop_interval: 0.05,
  208. t_baseline_1: 5.0, t_response: 5.0, t_baseline_all: 1.0, recording_loop_interval_data: 0.02,
  209. t_baseline_rand: 1.0, decoder_refresh_interval: 0.01}
  210. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  211. general: !munch.Munch {debug: 1, clear_trial_history: false}