config_dump_16_40_50.yaml 7.4 KB

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  1. !munch.Munch
  2. classifier: !munch.Munch
  3. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  4. thr_window: 40
  5. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  6. args:
  7. - !!python/name:numpy.ndarray ''
  8. - !!python/tuple [0]
  9. - !!binary |
  10. Yg==
  11. state: !!python/tuple
  12. - 1
  13. - !!python/tuple [8]
  14. - !!python/object/apply:numpy.dtype
  15. args: [i8, 0, 1]
  16. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  17. - false
  18. - !!binary |
  19. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  20. AAAAAAAAAA==
  21. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  22. include_channels: [20]
  23. exclude_data_channels: []
  24. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  25. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  26. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  27. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  28. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  29. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  30. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  31. n_neg_train: 100000
  32. online: false
  33. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  34. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  35. n_triggers: 2
  36. thr_prob: 0.8
  37. trigger_pos: start
  38. break_loop: true
  39. max_active_ch_nr: []
  40. deadtime: 40
  41. n_classes: 2
  42. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  43. psth: !munch.Munch
  44. cut: [-40, 100]
  45. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  46. paradigms: !munch.Munch
  47. exploration: !munch.Munch
  48. mode: [Screening]
  49. selected_mode: 0
  50. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  51. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  52. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  53. audio_path: /kiap/data/speller/Audio/exploration
  54. number_of_stim: 5
  55. color: !munch.Munch
  56. mode: [Validation, Free]
  57. selected_mode: 1
  58. states:
  59. - - gelb
  60. - [E, A, D, C, B, F, ^]
  61. - - gruen
  62. - [N, S, R, O, M, P, Q, ^]
  63. - - rot
  64. - [I, H, L, G, K, J, ^]
  65. - - blau
  66. - [T, U, W, Z, V, Y, X, ^]
  67. - - weiss
  68. - [<, ' ', '?', word, end, ^]
  69. max_length_vocabulary: 5
  70. confirmation_methods: [single, double_yes, best_of_three]
  71. selected_confirmation_method: 0
  72. corpora_path: /kiap/data/speller/Corpora
  73. audio_path: /kiap/data/speller/Audio
  74. general_corpus: cfd_tiger.p
  75. general_user_corpus: general_user_cfd.txt
  76. speller_user_corpus: speller_user.txt
  77. word_prediction: true
  78. validation_string: FELIX.
  79. init_string: ''
  80. n_repeat_unclassified: 1
  81. variablesToShowInGUI: !munch.Munch
  82. variableGroups: [timing, color]
  83. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  84. t: 1
  85. training_color: !munch.Munch
  86. mode: [Training]
  87. selected_mode: 0
  88. states:
  89. - - gelb
  90. - [E, A, D, C, B, F, ^]
  91. - - gruen
  92. - [N, S, R, O, M, P, Q, ^]
  93. - - rot
  94. - [I, H, L, G, K, J, ^]
  95. - - blau
  96. - [T, U, W, Z, V, Y, X, ^]
  97. - - weiss
  98. - [<, ' ', '?', word, end, ^]
  99. training_string: Gustav
  100. confirmation_yes: 1
  101. confirmation_no: 1
  102. question: !munch.Munch
  103. mode: [Training, Validation, Free]
  104. selected_mode: 2
  105. audio_path: /kiap/data/speller/Audio/question
  106. number_of_stim: 20
  107. symmetrical: true
  108. feedback: !munch.Munch
  109. play_end_feedback: !munch.Munch {fail: true, success: true}
  110. selected_mode: 1
  111. audio_path: /kiap/data/speller/feedback/
  112. number_of_stim: 10
  113. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  114. states: !munch.Munch
  115. up: [1.0, 0.7, 1.0]
  116. down: [0.0, 0.0, 0.35]
  117. mode: [Training, Validation]
  118. symmetrical: true
  119. supplemental_config: [config/feedback.yaml]
  120. sim_data: !munch.Munch {rate_bl: 10}
  121. speller: !munch.Munch {type: feedback, audio: true, audio_result_fb: true, pyttsx_rate: 100}
  122. lfp: !munch.Munch
  123. fs: 1000
  124. sampling_ratio: 30
  125. filter_fc_lb: [10, 0]
  126. filter_fc_mb: [12, 40]
  127. filter_fc_hb: [60, 250]
  128. filter_order_lb: 2
  129. filter_order_mb: 6
  130. filter_order_hb: 10
  131. artifact_thr: 400
  132. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  133. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  134. array21: [0, 1]
  135. array22: []
  136. array1_exclude: []
  137. array2_exclude: []
  138. i_start: 0
  139. i_stop: -1
  140. psth_win: [-1000, 5000]
  141. exclude: false
  142. normalize: false
  143. zscore: false
  144. car: true
  145. sub_band: 1
  146. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  147. spectra: !munch.Munch {spgr_len: 500}
  148. plot: !munch.Munch
  149. ch_ids: [0]
  150. general: true
  151. filters: false
  152. array2: [0, 1]
  153. recording: !munch.Munch
  154. timing: !munch.Munch {decoder_refresh_interval: 0.01, bci_loop_interval: 0.05, recording_loop_interval_data: 0.02,
  155. t_after_stimulus: 0.0, t_baseline_1: 5.0, t_baseline_rand: 1.0, recording_loop_interval: 0.05,
  156. t_response: 5.0, t_baseline_all: 1.0}
  157. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  158. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-07-21,
  159. filename_data: /data/clinical/neural/fr/2019-07-21/data_16_40_50.bin, filename_baseline: /data/clinical/neural/fr/2019-07-21/bl_16_40_49.npy,
  160. filename_log_info: /data/clinical/neural/fr/2019-07-21/info_16_40_50.log, filename_log_debug: /data/clinical/neural/fr/2019-07-21/debug_16_40_49.log,
  161. filename_events: /data/clinical/neural/fr/2019-07-21/events_16_40_50.txt, filename_config: /data/clinical/neural/fr/2019-07-21/config_16_40_49.yaml,
  162. filename_paradigm: /data/clinical/neural/fr/2019-07-21/paradigm_16_40_49.yaml, filename_config_dump: /data/clinical/neural/fr/2019-07-21/config_dump_16_40_49.yaml,
  163. filename_git_patch: /data/clinical/neural/fr/2019-07-21/git_changes_16_40_49.patch,
  164. filename_history: /data/clinical/neural/fr/2019-07-21/history.bin, git_hash: e6a266c}
  165. feedback: !munch.Munch {target_tone_length: 1.0, beta: 120, feedback_tone: true, tone_length: 0.25,
  166. hold_iterations: 3, target_n_tones: 5, alpha: 360}
  167. session: !munch.Munch
  168. flags: !munch.Munch {bl_rand: true, decode: false, bl: true, stimulus: true}
  169. plot: !munch.Munch
  170. channels: [20]
  171. fps: 10.0
  172. pca: false
  173. filter_min_rate: 2
  174. daq: !munch.Munch
  175. n_channels_max: 128
  176. exclude_channels: []
  177. car_channels: []
  178. fs: 30000.0
  179. smpl_fct: 30
  180. trigger_len: 50
  181. daq_sleep: 0.1
  182. normalization: !munch.Munch
  183. len: 600.0
  184. do_update: false
  185. update_interval: 10.0
  186. range: [10, 90]
  187. clamp_firing_rates: true
  188. use_all_channels: false
  189. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  190. channels:
  191. - !munch.Munch {id: 20, bottom: 4.0, top: 7.0, invert: true}
  192. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  193. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  194. n_channels: 128
  195. buffer: !munch.Munch
  196. length: 600
  197. shape: [600, 128]
  198. system: !munch.Munch {plot: 0}
  199. general: !munch.Munch {debug: 1, clear_trial_history: false}