config_dump_21_40_42.yaml 8.0 KB

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  1. !munch.Munch
  2. sim_data: !munch.Munch {rate_bl: 10}
  3. classifier: !munch.Munch
  4. include_channels: [20]
  5. thr_window: 40
  6. saved_model_conf_name: config/model_conf.yaml
  7. thr_prob: 0.8
  8. max_active_ch_nr: []
  9. trigger_pos: start
  10. online: false
  11. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  12. n_classes: 2
  13. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  14. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  15. n_neg_train: 100000
  16. exclude_data_channels: []
  17. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  18. args:
  19. - !!python/name:numpy.ndarray ''
  20. - !!python/tuple [0]
  21. - !!binary |
  22. Yg==
  23. state: !!python/tuple
  24. - 1
  25. - !!python/tuple [8]
  26. - !!python/object/apply:numpy.dtype
  27. args: [i8, 0, 1]
  28. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  29. - false
  30. - !!binary |
  31. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  32. AAAAAAAAAA==
  33. break_loop: true
  34. n_triggers: 2
  35. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  36. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  37. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  38. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  39. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  40. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  41. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  42. deadtime: 40
  43. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  44. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  45. psth: !munch.Munch
  46. cut: [-40, 100]
  47. n_features: 1024
  48. lfp: !munch.Munch
  49. fs: 1000
  50. sampling_ratio: 30
  51. filter_fc_lb: [10, 0]
  52. filter_fc_mb: [12, 40]
  53. filter_fc_hb: [60, 250]
  54. filter_order_lb: 2
  55. filter_order_mb: 6
  56. filter_order_hb: 10
  57. artifact_thr: 400
  58. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  59. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  60. array21: [0, 1]
  61. array22: []
  62. array1_exclude: []
  63. array2_exclude: []
  64. i_start: 0
  65. i_stop: -1
  66. psth_win: [-1000, 5000]
  67. exclude: false
  68. normalize: false
  69. zscore: false
  70. car: true
  71. sub_band: 1
  72. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  73. spectra: !munch.Munch {spgr_len: 500}
  74. plot: !munch.Munch
  75. ch_ids: [0]
  76. general: true
  77. filters: false
  78. array2: [0, 1]
  79. paradigms: !munch.Munch
  80. exploration: !munch.Munch
  81. mode: [Screening]
  82. selected_mode: 0
  83. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  84. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  85. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  86. audio_path: /kiap/data/speller/Audio/exploration
  87. number_of_stim: 5
  88. feedback: !munch.Munch
  89. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  90. selected_mode: 0
  91. states: !munch.Munch
  92. up: [1.0, 0.7, 1.0]
  93. down: [0.0, 0.0, 0.3]
  94. symmetrical: true
  95. mode: [Training, Validation]
  96. audio_path: /kiap/data/speller/feedback/
  97. play_end_feedback: !munch.Munch {success: true, fail: true}
  98. number_of_stim: 10
  99. variablesToShowInGUI: !munch.Munch
  100. variableGroups: [timing, color]
  101. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  102. t: 1
  103. color: !munch.Munch
  104. mode: [Validation, Free]
  105. selected_mode: 1
  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. max_length_vocabulary: 5
  118. confirmation_num_yes: 2
  119. confirmation_num_no: 1
  120. opposite_answers_methods: [last, majority]
  121. selected_opposite_answers_method: 0
  122. corpora_path: /kiap/data/speller/Corpora
  123. audio_path: /kiap/data/speller/Audio
  124. general_corpus: cfd_leipzig.p
  125. general_user_corpus: general_user_cfd.txt
  126. speller_user_corpus: speller_user.txt
  127. word_prediction: false
  128. validation_string: ''
  129. init_string: ''
  130. n_repeat_unclassified: 1
  131. training_color: !munch.Munch
  132. mode: [Training]
  133. selected_mode: 0
  134. states:
  135. - - gelb
  136. - [E, A, D, C, B, F, ^]
  137. - - gruen
  138. - [N, S, R, O, M, P, Q, ^]
  139. - - rot
  140. - [I, H, L, G, K, J, ^]
  141. - - blau
  142. - [T, U, W, Z, V, Y, X, ^]
  143. - - weiss
  144. - [<, <<<, ., '?', word, end, ^]
  145. training_string: Gustav
  146. confirmation_yes: 1
  147. confirmation_no: 1
  148. question: !munch.Munch
  149. mode: [Training, Validation, Free]
  150. selected_mode: 1
  151. audio_path: /kiap/data/speller/Audio/question
  152. number_of_stim: 10
  153. symmetrical: true
  154. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  155. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  156. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-04-05,
  157. filename_data: /data/clinical/neural/fr/2020-04-05/data_21_40_42.bin, filename_baseline: /data/clinical/neural/fr/2020-04-05/bl_21_40_42.npy,
  158. filename_log_info: /data/clinical/neural/fr/2020-04-05/info_21_40_42.log, filename_log_debug: /data/clinical/neural/fr/2020-04-05/debug_21_40_42.log,
  159. filename_events: /data/clinical/neural/fr/2020-04-05/events_21_40_42.txt, filename_config: /data/clinical/neural/fr/2020-04-05/config_21_40_42.yaml,
  160. filename_paradigm: /data/clinical/neural/fr/2020-04-05/paradigm_21_40_42.yaml, filename_config_dump: /data/clinical/neural/fr/2020-04-05/config_dump_21_40_42.yaml,
  161. filename_git_patch: /data/clinical/neural/fr/2020-04-05/git_changes_21_40_42.patch,
  162. filename_history: /data/clinical/neural/fr/2020-04-05/history.bin, filename_corpus: /data/clinical/neural/fr/2020-04-05/user_corpus_21_40_42.txt,
  163. git_hash: 7433eaa}
  164. session: !munch.Munch
  165. flags: !munch.Munch {bl: true, bl_rand: true, decode: false, stimulus: true}
  166. daq: !munch.Munch
  167. data_source: spike_rates
  168. spike_band_power: !munch.Munch
  169. loop_interval: 50
  170. filter: !munch.Munch
  171. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  172. a: [1, -1.91119706742607, 0.914975834801434]
  173. average_n_bins: 10
  174. integrated_samples: 1500
  175. sample_group: 6
  176. daq_sleep: 0.1
  177. trigger_len: 50
  178. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  179. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  180. smpl_fct: 30
  181. exclude_channels: []
  182. normalization: !munch.Munch
  183. channels:
  184. - !munch.Munch {id: 20, bottom: 1, top: 4, invert: true}
  185. update_interval: 10.0
  186. use_all_channels: false
  187. do_update: false
  188. len: 600.0
  189. range: [10, 90]
  190. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  191. clamp_firing_rates: true
  192. n_channels_max: 128
  193. fs: 30000.0
  194. car_channels: []
  195. n_channels: 128
  196. buffer: !munch.Munch
  197. length: 600
  198. shape: [600, 128]
  199. general: !munch.Munch {debug: 1, clear_trial_history: false}
  200. system: !munch.Munch {plot: 0}
  201. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  202. plot: !munch.Munch
  203. channels: [20, 96, 109]
  204. pca: false
  205. filter_min_rate: 2
  206. fps: 10.0
  207. feedback: !munch.Munch {target_n_tones: 5, beta: 120, target_tone_length: 1.0, feedback_tone: true,
  208. alpha: 360, hold_iterations: 2, tone_length: 0.25}
  209. speller: !munch.Munch {audio: true, audio_result_fb: false, pyttsx_rate: 100, speller_matrix: true,
  210. type: feedback}
  211. recording: !munch.Munch
  212. timing: !munch.Munch {t_baseline_rand: 1.0, t_baseline_1: 5.0, decoder_refresh_interval: 0.01,
  213. t_response: 5.0, t_after_stimulus: 0.2, t_baseline_all: 1.0, bci_loop_interval: 0.05,
  214. recording_loop_interval: 0.05, recording_loop_interval_data: 0.02}