config_dump_17_32_44.yaml 8.0 KB

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  1. !munch.Munch
  2. classifier: !munch.Munch
  3. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  4. thr_window: 40
  5. trigger_pos: start
  6. deadtime: 40
  7. break_loop: true
  8. exclude_data_channels: []
  9. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  10. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  11. n_neg_train: 100000
  12. max_active_ch_nr: []
  13. n_classes: 2
  14. include_channels: [20]
  15. saved_model_conf_name: config/model_conf.yaml
  16. online: false
  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. thr_prob: 0.8
  34. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  35. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  36. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  37. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  38. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  39. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  40. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  41. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  42. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  43. psth: !munch.Munch
  44. cut: [-40, 100]
  45. n_triggers: 2
  46. n_features: 1024
  47. plot: !munch.Munch
  48. fps: 10.0
  49. channels: [20, 96, 109]
  50. filter_min_rate: 2
  51. pca: false
  52. sim_data: !munch.Munch {rate_bl: 10}
  53. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  54. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  55. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-05-15,
  56. filename_data: /data/clinical/neural/fr/2020-05-15/data_17_32_44.bin, filename_baseline: /data/clinical/neural/fr/2020-05-15/bl_17_32_44.npy,
  57. filename_log_info: /data/clinical/neural/fr/2020-05-15/info_17_32_44.log, filename_log_debug: /data/clinical/neural/fr/2020-05-15/debug_17_32_44.log,
  58. filename_events: /data/clinical/neural/fr/2020-05-15/events_17_32_44.txt, filename_config: /data/clinical/neural/fr/2020-05-15/config_17_32_44.yaml,
  59. filename_paradigm: /data/clinical/neural/fr/2020-05-15/paradigm_17_32_44.yaml, filename_config_dump: /data/clinical/neural/fr/2020-05-15/config_dump_17_32_44.yaml,
  60. filename_git_patch: /data/clinical/neural/fr/2020-05-15/git_changes_17_32_44.patch,
  61. filename_history: /data/clinical/neural/fr/2020-05-15/history.bin, filename_corpus: /data/clinical/neural/fr/2020-05-15/user_corpus_17_32_44.txt,
  62. git_hash: 7433eaa}
  63. daq: !munch.Munch
  64. n_channels_max: 128
  65. smpl_fct: 30
  66. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  67. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  68. normalization: !munch.Munch
  69. update_interval: 10.0
  70. range: [10, 90]
  71. len: 600.0
  72. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  73. channels:
  74. - !munch.Munch {id: 105, bottom: 7.5, top: 12, invert: false}
  75. clamp_firing_rates: true
  76. use_all_channels: false
  77. do_update: false
  78. data_source: spike_rates
  79. daq_sleep: 0.1
  80. exclude_channels: []
  81. car_channels: []
  82. spike_band_power: !munch.Munch
  83. loop_interval: 50
  84. sample_group: 6
  85. average_n_bins: 10
  86. integrated_samples: 1500
  87. filter: !munch.Munch
  88. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  89. a: [1, -1.91119706742607, 0.914975834801434]
  90. fs: 30000.0
  91. trigger_len: 50
  92. n_channels: 128
  93. lfp: !munch.Munch
  94. fs: 1000
  95. sampling_ratio: 30
  96. filter_fc_lb: [10, 0]
  97. filter_fc_mb: [12, 40]
  98. filter_fc_hb: [60, 250]
  99. filter_order_lb: 2
  100. filter_order_mb: 6
  101. filter_order_hb: 10
  102. artifact_thr: 400
  103. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  104. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  105. array21: [0, 1]
  106. array22: []
  107. array1_exclude: []
  108. array2_exclude: []
  109. i_start: 0
  110. i_stop: -1
  111. psth_win: [-1000, 5000]
  112. exclude: false
  113. normalize: false
  114. zscore: false
  115. car: true
  116. sub_band: 1
  117. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  118. spectra: !munch.Munch {spgr_len: 500}
  119. plot: !munch.Munch
  120. ch_ids: [0]
  121. general: true
  122. filters: false
  123. array2: [0, 1]
  124. system: !munch.Munch {plot: 0}
  125. paradigms: !munch.Munch
  126. color: !munch.Munch
  127. mode: [Validation, Free]
  128. selected_mode: 1
  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. max_length_vocabulary: 5
  141. confirmation_num_yes: 2
  142. confirmation_num_no: 1
  143. opposite_answers_methods: [last, majority]
  144. selected_opposite_answers_method: 0
  145. corpora_path: /kiap/data/speller/Corpora
  146. audio_path: /kiap/data/speller/Audio
  147. general_corpus: cfd_leipzig.p
  148. general_user_corpus: general_user_cfd.txt
  149. speller_user_corpus: speller_user.txt
  150. word_prediction: true
  151. validation_string: ''
  152. init_string: ''
  153. n_repeat_unclassified: 1
  154. training_color: !munch.Munch
  155. mode: [Training]
  156. selected_mode: 0
  157. states:
  158. - - gelb
  159. - [E, A, D, C, B, F, ^]
  160. - - gruen
  161. - [N, S, R, O, M, P, Q, ^]
  162. - - rot
  163. - [I, H, L, G, K, J, ^]
  164. - - blau
  165. - [T, U, W, Z, V, Y, X, ^]
  166. - - weiss
  167. - [<, <<<, ., '?', word, end, ^]
  168. training_string: Gustav
  169. confirmation_yes: 1
  170. confirmation_no: 1
  171. feedback: !munch.Munch
  172. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  173. mode: [Training, Validation]
  174. symmetrical: true
  175. play_end_feedback: !munch.Munch {fail: true, success: true}
  176. selected_mode: 0
  177. number_of_stim: 10
  178. states: !munch.Munch
  179. up: [1.0, 0.7, 1.0]
  180. down: [0.0, 0.0, 0.3]
  181. audio_path: /kiap/data/speller/feedback/
  182. variablesToShowInGUI: !munch.Munch
  183. variableGroups: [timing, color]
  184. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  185. t: 1
  186. question: !munch.Munch
  187. mode: [Training, Validation, Free]
  188. selected_mode: 1
  189. audio_path: /kiap/data/speller/Audio/question
  190. number_of_stim: 10
  191. symmetrical: true
  192. exploration: !munch.Munch
  193. mode: [Screening]
  194. selected_mode: 0
  195. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  196. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  197. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  198. audio_path: /kiap/data/speller/Audio/exploration
  199. number_of_stim: 5
  200. buffer: !munch.Munch
  201. length: 600
  202. shape: [600, 128]
  203. feedback: !munch.Munch {alpha: 360, feedback_tone: true, target_n_tones: 5, beta: 120,
  204. tone_length: 0.25, target_tone_length: 1.0, hold_iterations: 2}
  205. recording: !munch.Munch
  206. timing: !munch.Munch {t_baseline_1: 5.0, t_baseline_all: 1.0, decoder_refresh_interval: 0.01,
  207. recording_loop_interval: 0.05, t_after_stimulus: 0.2, t_baseline_rand: 1.0, t_response: 5.0,
  208. recording_loop_interval_data: 0.02, bci_loop_interval: 0.05}
  209. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  210. session: !munch.Munch
  211. flags: !munch.Munch {stimulus: true, bl_rand: true, bl: true, decode: false}
  212. speller: !munch.Munch {audio_result_fb: false, speller_matrix: true, audio: true,
  213. type: feedback, pyttsx_rate: 100}
  214. general: !munch.Munch {debug: 1, clear_trial_history: false}