config_dump_17_22_54.yaml 7.8 KB

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  1. !munch.Munch
  2. general: !munch.Munch {debug: 1, clear_trial_history: false}
  3. classifier: !munch.Munch
  4. max_active_ch_nr: []
  5. break_loop: true
  6. saved_model_conf_name: config/model_conf.yaml
  7. trigger_pos: start
  8. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  9. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  10. args:
  11. - !!python/name:numpy.ndarray ''
  12. - !!python/tuple [0]
  13. - !!binary |
  14. Yg==
  15. state: !!python/tuple
  16. - 1
  17. - !!python/tuple [8]
  18. - !!python/object/apply:numpy.dtype
  19. args: [i8, 0, 1]
  20. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  21. - false
  22. - !!binary |
  23. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  24. AAAAAAAAAA==
  25. deadtime: 40
  26. thr_prob: 0.8
  27. n_neg_train: 100000
  28. n_classes: 2
  29. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  30. n_triggers: 2
  31. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  32. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  33. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  34. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  35. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  36. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  37. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  38. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  39. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  40. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  41. psth: !munch.Munch
  42. cut: [-40, 100]
  43. thr_window: 40
  44. online: false
  45. include_channels: [20]
  46. exclude_data_channels: []
  47. n_features: 1024
  48. paradigms: !munch.Munch
  49. feedback: !munch.Munch
  50. selected_mode: 0
  51. audio_path: /kiap/data/speller/feedback/
  52. symmetrical: true
  53. number_of_stim: 10
  54. mode: [Training, Validation]
  55. states: !munch.Munch
  56. down: [0.0, 0.0, 0.3]
  57. up: [1.0, 0.7, 1.0]
  58. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  59. play_end_feedback: !munch.Munch {success: true, fail: true}
  60. exploration: !munch.Munch
  61. mode: [Screening]
  62. selected_mode: 0
  63. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  64. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  65. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  66. audio_path: /kiap/data/speller/Audio/exploration
  67. number_of_stim: 5
  68. variablesToShowInGUI: !munch.Munch
  69. variableGroups: [timing, color]
  70. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  71. t: 1
  72. question: !munch.Munch
  73. mode: [Training, Validation, Free]
  74. selected_mode: 2
  75. audio_path: /kiap/data/speller/Audio/question
  76. number_of_stim: 10
  77. symmetrical: true
  78. training_color: !munch.Munch
  79. mode: [Training]
  80. selected_mode: 0
  81. states:
  82. - - gelb
  83. - [E, A, D, C, B, F, ^]
  84. - - gruen
  85. - [N, S, R, O, M, P, Q, ^]
  86. - - rot
  87. - [I, H, L, G, K, J, ^]
  88. - - blau
  89. - [T, U, W, Z, V, Y, X, ^]
  90. - - weiss
  91. - [<, ' ', '?', word, end, ^]
  92. training_string: Gustav
  93. confirmation_yes: 1
  94. confirmation_no: 1
  95. color: !munch.Munch
  96. selected_mode: 1
  97. max_length_vocabulary: 5
  98. selected_confirmation_method: 0
  99. general_corpus: cfd_tiger.p
  100. validation_string: ''
  101. audio_path: /kiap/data/speller/Audio
  102. n_repeat_unclassified: 1
  103. general_user_corpus: general_user_cfd.txt
  104. confirmation_methods: [single, double_yes, best_of_three]
  105. word_prediction: false
  106. mode: [Validation, Free]
  107. init_string: ''
  108. states:
  109. - - gelb
  110. - [E, A, D, C, B, F, ^]
  111. - - gruen
  112. - [N, S, R, O, M, P, Q, ^]
  113. - - rot
  114. - [I, H, L, G, K, J, ^]
  115. - - blau
  116. - [T, U, W, Z, V, Y, X, ^]
  117. - - weiss
  118. - [<, ' ', end, ^]
  119. speller_user_corpus: speller_user.txt
  120. corpora_path: /kiap/data/speller/Corpora
  121. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  122. session: !munch.Munch
  123. flags: !munch.Munch {decode: false, bl_rand: true, bl: true, stimulus: true}
  124. sim_data: !munch.Munch {rate_bl: 10}
  125. daq: !munch.Munch
  126. smpl_fct: 30
  127. fs: 30000.0
  128. exclude_channels: []
  129. data_source: spike_rates
  130. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  131. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  132. spike_band_power: !munch.Munch
  133. average_n_bins: 10
  134. loop_interval: 50
  135. integrated_samples: 1500
  136. filter: !munch.Munch
  137. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  138. a: [1, -1.91119706742607, 0.914975834801434]
  139. sample_group: 6
  140. trigger_len: 50
  141. daq_sleep: 0.1
  142. n_channels_max: 128
  143. normalization: !munch.Munch
  144. do_update: false
  145. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  146. channels:
  147. - !munch.Munch {id: 17, bottom: 3.0, top: 11.0, invert: false}
  148. len: 600.0
  149. range: [10, 90]
  150. update_interval: 10.0
  151. use_all_channels: false
  152. clamp_firing_rates: true
  153. car_channels: []
  154. n_channels: 128
  155. plot: !munch.Munch
  156. filter_min_rate: 2
  157. fps: 10.0
  158. channels: [96, 98]
  159. pca: false
  160. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  161. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-08,
  162. filename_data: /data/clinical/neural/fr/2020-01-08/data_17_22_54.bin, filename_baseline: /data/clinical/neural/fr/2020-01-08/bl_17_22_54.npy,
  163. filename_log_info: /data/clinical/neural/fr/2020-01-08/info_17_22_54.log, filename_log_debug: /data/clinical/neural/fr/2020-01-08/debug_17_22_54.log,
  164. filename_events: /data/clinical/neural/fr/2020-01-08/events_17_22_54.txt, filename_config: /data/clinical/neural/fr/2020-01-08/config_17_22_54.yaml,
  165. filename_paradigm: /data/clinical/neural/fr/2020-01-08/paradigm_17_22_54.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-08/config_dump_17_22_54.yaml,
  166. filename_git_patch: /data/clinical/neural/fr/2020-01-08/git_changes_17_22_54.patch,
  167. filename_history: /data/clinical/neural/fr/2020-01-08/history.bin, git_hash: 52c204f}
  168. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  169. speller: !munch.Munch {pyttsx_rate: 100, type: color, audio: true, speller_matrix: true,
  170. audio_result_fb: true}
  171. system: !munch.Munch {plot: 0}
  172. recording: !munch.Munch
  173. timing: !munch.Munch {recording_loop_interval_data: 0.02, t_baseline_rand: 1.0,
  174. bci_loop_interval: 0.05, t_baseline_1: 5.0, decoder_refresh_interval: 0.01, t_baseline_all: 1.0,
  175. recording_loop_interval: 0.05, t_response: 5.0, t_after_stimulus: 0.2}
  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. buffer: !munch.Munch
  208. length: 600
  209. shape: [600, 128]
  210. feedback: !munch.Munch {hold_iterations: 2, tone_length: 0.25, feedback_tone: true,
  211. target_n_tones: 5, beta: 120, alpha: 360, target_tone_length: 1.0}