config_dump_21_04_47.yaml 7.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211
  1. !munch.Munch
  2. speller: !munch.Munch {speller_matrix: true, pyttsx_rate: 100, audio_result_fb: true,
  3. type: color, audio: true}
  4. daq: !munch.Munch
  5. data_source: spike_rates
  6. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  7. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  8. car_channels: []
  9. n_channels_max: 128
  10. smpl_fct: 30
  11. fs: 30000.0
  12. daq_sleep: 0.1
  13. normalization: !munch.Munch
  14. use_all_channels: false
  15. update_interval: 10.0
  16. clamp_firing_rates: true
  17. channels:
  18. - !munch.Munch {id: 20, bottom: 12.0, top: 24.0, invert: true}
  19. do_update: false
  20. len: 600.0
  21. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  22. range: [10, 90]
  23. exclude_channels: []
  24. spike_band_power: !munch.Munch
  25. loop_interval: 50
  26. average_n_bins: 10
  27. integrated_samples: 1500
  28. sample_group: 6
  29. filter: !munch.Munch
  30. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  31. a: [1, -1.91119706742607, 0.914975834801434]
  32. trigger_len: 50
  33. n_channels: 128
  34. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  35. buffer: !munch.Munch
  36. length: 600
  37. shape: [600, 128]
  38. sim_data: !munch.Munch {rate_bl: 10}
  39. plot: !munch.Munch
  40. filter_min_rate: 2
  41. fps: 10.0
  42. channels: [20, 24, 96]
  43. pca: false
  44. classifier: !munch.Munch
  45. trigger_pos: start
  46. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  47. n_triggers: 2
  48. thr_prob: 0.8
  49. saved_model_conf_name: config/model_conf.yaml
  50. deadtime: 40
  51. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  52. args:
  53. - !!python/name:numpy.ndarray ''
  54. - !!python/tuple [0]
  55. - !!binary |
  56. Yg==
  57. state: !!python/tuple
  58. - 1
  59. - !!python/tuple [8]
  60. - !!python/object/apply:numpy.dtype
  61. args: [i8, 0, 1]
  62. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  63. - false
  64. - !!binary |
  65. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  66. AAAAAAAAAA==
  67. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  68. n_neg_train: 100000
  69. n_classes: 2
  70. thr_window: 40
  71. break_loop: true
  72. online: false
  73. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  74. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  75. psth: !munch.Munch
  76. cut: [-40, 100]
  77. exclude_data_channels: []
  78. max_active_ch_nr: []
  79. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  80. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  81. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  82. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  83. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  84. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  85. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  86. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  87. include_channels: [20]
  88. n_features: 1024
  89. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  90. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-11-13,
  91. filename_data: /data/clinical/neural/fr/2019-11-13/data_21_04_47.bin, filename_baseline: /data/clinical/neural/fr/2019-11-13/bl_21_04_47.npy,
  92. filename_log_info: /data/clinical/neural/fr/2019-11-13/info_21_04_47.log, filename_log_debug: /data/clinical/neural/fr/2019-11-13/debug_21_04_47.log,
  93. filename_events: /data/clinical/neural/fr/2019-11-13/events_21_04_47.txt, filename_config: /data/clinical/neural/fr/2019-11-13/config_21_04_47.yaml,
  94. filename_paradigm: /data/clinical/neural/fr/2019-11-13/paradigm_21_04_47.yaml, filename_config_dump: /data/clinical/neural/fr/2019-11-13/config_dump_21_04_47.yaml,
  95. filename_git_patch: /data/clinical/neural/fr/2019-11-13/git_changes_21_04_47.patch,
  96. filename_history: /data/clinical/neural/fr/2019-11-13/history.bin, git_hash: 52c204f}
  97. general: !munch.Munch {debug: 1, clear_trial_history: false}
  98. feedback: !munch.Munch {beta: 120, target_n_tones: 5, feedback_tone: true, tone_length: 0.25,
  99. hold_iterations: 2, target_tone_length: 1.0, alpha: 360}
  100. system: !munch.Munch {plot: 0}
  101. recording: !munch.Munch
  102. timing: !munch.Munch {t_baseline_rand: 1.0, t_baseline_all: 1.0, t_response: 5.0,
  103. recording_loop_interval_data: 0.02, t_baseline_1: 5.0, t_after_stimulus: 0.2,
  104. decoder_refresh_interval: 0.01, bci_loop_interval: 0.05, recording_loop_interval: 0.05}
  105. lfp: !munch.Munch
  106. fs: 1000
  107. sampling_ratio: 30
  108. filter_fc_lb: [10, 0]
  109. filter_fc_mb: [12, 40]
  110. filter_fc_hb: [60, 250]
  111. filter_order_lb: 2
  112. filter_order_mb: 6
  113. filter_order_hb: 10
  114. artifact_thr: 400
  115. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  116. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  117. array21: [0, 1]
  118. array22: []
  119. array1_exclude: []
  120. array2_exclude: []
  121. i_start: 0
  122. i_stop: -1
  123. psth_win: [-1000, 5000]
  124. exclude: false
  125. normalize: false
  126. zscore: false
  127. car: true
  128. sub_band: 1
  129. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  130. spectra: !munch.Munch {spgr_len: 500}
  131. plot: !munch.Munch
  132. ch_ids: [0]
  133. general: true
  134. filters: false
  135. array2: [0, 1]
  136. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  137. paradigms: !munch.Munch
  138. exploration: !munch.Munch
  139. mode: [Screening]
  140. selected_mode: 0
  141. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  142. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  143. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  144. audio_path: /kiap/data/speller/Audio/exploration
  145. number_of_stim: 5
  146. training_color: !munch.Munch
  147. mode: [Training]
  148. selected_mode: 0
  149. states:
  150. - - gelb
  151. - [E, A, D, C, B, F, ^]
  152. - - gruen
  153. - [N, S, R, O, M, P, Q, ^]
  154. - - rot
  155. - [I, H, L, G, K, J, ^]
  156. - - blau
  157. - [T, U, W, Z, V, Y, X, ^]
  158. - - weiss
  159. - [<, ' ', '?', word, end, ^]
  160. training_string: Gustav
  161. confirmation_yes: 1
  162. confirmation_no: 1
  163. question: !munch.Munch
  164. mode: [Training, Validation, Free]
  165. selected_mode: 2
  166. audio_path: /kiap/data/speller/Audio/question
  167. number_of_stim: 10
  168. symmetrical: true
  169. feedback: !munch.Munch
  170. symmetrical: true
  171. number_of_stim: 10
  172. states: !munch.Munch
  173. up: [1.0, 0.7, 1.0]
  174. down: [0.0, 0.0, 0.3]
  175. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  176. audio_path: /kiap/data/speller/feedback/
  177. selected_mode: 0
  178. mode: [Training, Validation]
  179. play_end_feedback: !munch.Munch {success: true, fail: true}
  180. variablesToShowInGUI: !munch.Munch
  181. variableGroups: [timing, color]
  182. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  183. t: 1
  184. color: !munch.Munch
  185. general_corpus: cfd_tiger.p
  186. selected_confirmation_method: 1
  187. validation_string: ''
  188. word_prediction: false
  189. states:
  190. - - gelb
  191. - [E, A, D, C, B, F, ^]
  192. - - gruen
  193. - [N, S, R, O, M, P, Q, ^]
  194. - - rot
  195. - [I, H, L, G, K, J, ^]
  196. - - blau
  197. - [T, U, W, Z, V, Y, X, ^]
  198. - - weiss
  199. - [<, ' ', end, ^]
  200. general_user_corpus: general_user_cfd.txt
  201. audio_path: /kiap/data/speller/Audio
  202. selected_mode: 1
  203. n_repeat_unclassified: 1
  204. mode: [Validation, Free]
  205. confirmation_methods: [single, double_yes, best_of_three]
  206. max_length_vocabulary: 5
  207. speller_user_corpus: speller_user.txt
  208. corpora_path: /kiap/data/speller/Corpora
  209. init_string: ''
  210. session: !munch.Munch
  211. flags: !munch.Munch {bl_rand: true, decode: false, bl: true, stimulus: true}