config_dump_21_40_04.yaml 7.8 KB

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  1. !munch.Munch
  2. buffer: !munch.Munch
  3. length: 600
  4. shape: [600, 128]
  5. sim_data: !munch.Munch {rate_bl: 10}
  6. plot: !munch.Munch
  7. pca: false
  8. channels: [96, 98]
  9. fps: 10.0
  10. filter_min_rate: 2
  11. classifier: !munch.Munch
  12. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  13. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  14. thr_prob: 0.8
  15. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  16. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  17. deadtime: 40
  18. max_active_ch_nr: []
  19. include_channels: [20]
  20. online: false
  21. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  22. args:
  23. - !!python/name:numpy.ndarray ''
  24. - !!python/tuple [0]
  25. - !!binary |
  26. Yg==
  27. state: !!python/tuple
  28. - 1
  29. - !!python/tuple [8]
  30. - !!python/object/apply:numpy.dtype
  31. args: [i8, 0, 1]
  32. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  33. - false
  34. - !!binary |
  35. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  36. AAAAAAAAAA==
  37. thr_window: 40
  38. n_neg_train: 100000
  39. n_classes: 2
  40. trigger_pos: start
  41. exclude_data_channels: []
  42. break_loop: true
  43. psth: !munch.Munch
  44. cut: [-40, 100]
  45. n_triggers: 2
  46. saved_model_conf_name: config/model_conf.yaml
  47. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  48. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  49. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  50. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  51. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  52. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  53. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  54. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  55. n_features: 1024
  56. daq: !munch.Munch
  57. data_source: spike_rates
  58. spike_band_power: !munch.Munch
  59. filter: !munch.Munch
  60. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  61. a: [1, -1.91119706742607, 0.914975834801434]
  62. sample_group: 6
  63. loop_interval: 50
  64. integrated_samples: 1500
  65. average_n_bins: 10
  66. normalization: !munch.Munch
  67. update_interval: 10.0
  68. range: [10, 90]
  69. do_update: false
  70. len: 600.0
  71. use_all_channels: false
  72. channels:
  73. - !munch.Munch {id: 23, bottom: 2.0, top: 5.5, invert: true}
  74. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  75. clamp_firing_rates: true
  76. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  77. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  78. smpl_fct: 30
  79. fs: 30000.0
  80. trigger_len: 50
  81. n_channels_max: 128
  82. exclude_channels: []
  83. car_channels: []
  84. daq_sleep: 0.1
  85. n_channels: 128
  86. feedback: !munch.Munch {tone_length: 0.25, target_n_tones: 5, alpha: 360, hold_iterations: 2,
  87. beta: 120, feedback_tone: true, target_tone_length: 1.0}
  88. paradigms: !munch.Munch
  89. training_color: !munch.Munch
  90. mode: [Training]
  91. selected_mode: 0
  92. states:
  93. - - gelb
  94. - [E, A, D, C, B, F, ^]
  95. - - gruen
  96. - [N, S, R, O, M, P, Q, ^]
  97. - - rot
  98. - [I, H, L, G, K, J, ^]
  99. - - blau
  100. - [T, U, W, Z, V, Y, X, ^]
  101. - - weiss
  102. - [<, ' ', '?', word, end, ^]
  103. training_string: Gustav
  104. confirmation_yes: 1
  105. confirmation_no: 1
  106. exploration: !munch.Munch
  107. mode: [Screening]
  108. selected_mode: 0
  109. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  110. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  111. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  112. audio_path: /kiap/data/speller/Audio/exploration
  113. number_of_stim: 5
  114. question: !munch.Munch
  115. mode: [Training, Validation, Free]
  116. selected_mode: 2
  117. audio_path: /kiap/data/speller/Audio/question
  118. number_of_stim: 10
  119. symmetrical: true
  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. color: !munch.Munch
  125. speller_user_corpus: speller_user.txt
  126. selected_mode: 1
  127. general_user_corpus: general_user_cfd.txt
  128. confirmation_methods: [single, double_yes, best_of_three]
  129. states:
  130. - - gelb
  131. - [E, A, D, C, B, F, ^]
  132. - - gruen
  133. - [N, S, R, O, M, P, Q, ^]
  134. - - rot
  135. - [I, H, L, G, K, J, ^]
  136. - - blau
  137. - [T, U, W, Z, V, Y, X, ^]
  138. - - weiss
  139. - [<, ' ', end, ^]
  140. general_corpus: cfd_tiger.p
  141. word_prediction: false
  142. n_repeat_unclassified: 1
  143. mode: [Validation, Free]
  144. audio_path: /kiap/data/speller/Audio
  145. corpora_path: /kiap/data/speller/Corpora
  146. validation_string: ''
  147. init_string: ''
  148. max_length_vocabulary: 5
  149. selected_confirmation_method: 1
  150. feedback: !munch.Munch
  151. selected_mode: 0
  152. play_end_feedback: !munch.Munch {success: true, fail: true}
  153. states: !munch.Munch
  154. up: [1.0, 0.7, 1.0]
  155. down: [0.0, 0.0, 0.3]
  156. symmetrical: true
  157. audio_path: /kiap/data/speller/feedback/
  158. mode: [Training, Validation]
  159. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  160. number_of_stim: 10
  161. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  162. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  163. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-09,
  164. filename_data: /data/clinical/neural/fr/2020-01-09/data_21_40_04.bin, filename_baseline: /data/clinical/neural/fr/2020-01-09/bl_21_40_04.npy,
  165. filename_log_info: /data/clinical/neural/fr/2020-01-09/info_21_40_04.log, filename_log_debug: /data/clinical/neural/fr/2020-01-09/debug_21_40_04.log,
  166. filename_events: /data/clinical/neural/fr/2020-01-09/events_21_40_04.txt, filename_config: /data/clinical/neural/fr/2020-01-09/config_21_40_04.yaml,
  167. filename_paradigm: /data/clinical/neural/fr/2020-01-09/paradigm_21_40_04.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-09/config_dump_21_40_04.yaml,
  168. filename_git_patch: /data/clinical/neural/fr/2020-01-09/git_changes_21_40_04.patch,
  169. filename_history: /data/clinical/neural/fr/2020-01-09/history.bin, git_hash: 52c204f}
  170. speller: !munch.Munch {audio_result_fb: true, type: color, pyttsx_rate: 100, speller_matrix: true,
  171. audio: true}
  172. general: !munch.Munch {debug: 1, clear_trial_history: false}
  173. session: !munch.Munch
  174. flags: !munch.Munch {bl_rand: true, bl: true, decode: false, stimulus: true}
  175. recording: !munch.Munch
  176. timing: !munch.Munch {t_baseline_1: 5.0, t_baseline_all: 1.0, decoder_refresh_interval: 0.01,
  177. recording_loop_interval: 0.05, bci_loop_interval: 0.05, recording_loop_interval_data: 0.02,
  178. t_baseline_rand: 1.0, t_after_stimulus: 0.2, t_response: 5.0}
  179. system: !munch.Munch {plot: 0}
  180. lfp: !munch.Munch
  181. fs: 1000
  182. sampling_ratio: 30
  183. filter_fc_lb: [10, 0]
  184. filter_fc_mb: [12, 40]
  185. filter_fc_hb: [60, 250]
  186. filter_order_lb: 2
  187. filter_order_mb: 6
  188. filter_order_hb: 10
  189. artifact_thr: 400
  190. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  191. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  192. array21: [0, 1]
  193. array22: []
  194. array1_exclude: []
  195. array2_exclude: []
  196. i_start: 0
  197. i_stop: -1
  198. psth_win: [-1000, 5000]
  199. exclude: false
  200. normalize: false
  201. zscore: false
  202. car: true
  203. sub_band: 1
  204. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  205. spectra: !munch.Munch {spgr_len: 500}
  206. plot: !munch.Munch
  207. ch_ids: [0]
  208. general: true
  209. filters: false
  210. array2: [0, 1]
  211. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}