config_dump_17_12_51.yaml 7.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211
  1. !munch.Munch
  2. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  3. classifier: !munch.Munch
  4. thr_prob: 0.8
  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. exclude_data_channels: []
  22. max_active_ch_nr: []
  23. n_classes: 2
  24. thr_window: 40
  25. trigger_pos: start
  26. psth: !munch.Munch
  27. cut: [-40, 100]
  28. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  29. n_triggers: 2
  30. break_loop: true
  31. saved_model_conf_name: config/model_conf.yaml
  32. deadtime: 40
  33. include_channels: [20]
  34. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  35. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  36. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  37. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  38. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  39. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  40. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  41. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  42. n_neg_train: 100000
  43. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  44. online: false
  45. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  46. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  47. n_features: 1024
  48. general: !munch.Munch {debug: 1, clear_trial_history: false}
  49. session: !munch.Munch
  50. flags: !munch.Munch {bl_rand: true, stimulus: true, decode: false, bl: true}
  51. system: !munch.Munch {plot: 0}
  52. speller: !munch.Munch {speller_matrix: true, audio: true, pyttsx_rate: 100, audio_result_fb: true,
  53. type: color}
  54. plot: !munch.Munch
  55. filter_min_rate: 2
  56. pca: false
  57. channels: [96, 98]
  58. fps: 10.0
  59. feedback: !munch.Munch {tone_length: 0.25, beta: 120, hold_iterations: 2, alpha: 360,
  60. target_tone_length: 1.0, target_n_tones: 5, feedback_tone: true}
  61. daq: !munch.Munch
  62. smpl_fct: 30
  63. normalization: !munch.Munch
  64. clamp_firing_rates: true
  65. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  66. channels:
  67. - !munch.Munch {id: 20, bottom: 3.0, top: 7.0, invert: true}
  68. do_update: false
  69. use_all_channels: false
  70. update_interval: 10.0
  71. range: [10, 90]
  72. len: 600.0
  73. car_channels: []
  74. fs: 30000.0
  75. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  76. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  77. data_source: spike_rates
  78. daq_sleep: 0.1
  79. exclude_channels: []
  80. trigger_len: 50
  81. spike_band_power: !munch.Munch
  82. sample_group: 6
  83. filter: !munch.Munch
  84. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  85. a: [1, -1.91119706742607, 0.914975834801434]
  86. average_n_bins: 10
  87. loop_interval: 50
  88. integrated_samples: 1500
  89. n_channels_max: 128
  90. n_channels: 128
  91. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  92. lfp: !munch.Munch
  93. fs: 1000
  94. sampling_ratio: 30
  95. filter_fc_lb: [10, 0]
  96. filter_fc_mb: [12, 40]
  97. filter_fc_hb: [60, 250]
  98. filter_order_lb: 2
  99. filter_order_mb: 6
  100. filter_order_hb: 10
  101. artifact_thr: 400
  102. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  103. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  104. array21: [0, 1]
  105. array22: []
  106. array1_exclude: []
  107. array2_exclude: []
  108. i_start: 0
  109. i_stop: -1
  110. psth_win: [-1000, 5000]
  111. exclude: false
  112. normalize: false
  113. zscore: false
  114. car: true
  115. sub_band: 1
  116. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  117. spectra: !munch.Munch {spgr_len: 500}
  118. plot: !munch.Munch
  119. ch_ids: [0]
  120. general: true
  121. filters: false
  122. array2: [0, 1]
  123. sim_data: !munch.Munch {rate_bl: 10}
  124. paradigms: !munch.Munch
  125. variablesToShowInGUI: !munch.Munch
  126. variableGroups: [timing, color]
  127. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  128. t: 1
  129. exploration: !munch.Munch
  130. mode: [Screening]
  131. selected_mode: 0
  132. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  133. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  134. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  135. audio_path: /kiap/data/speller/Audio/exploration
  136. number_of_stim: 5
  137. training_color: !munch.Munch
  138. mode: [Training]
  139. selected_mode: 0
  140. states:
  141. - - gelb
  142. - [E, A, D, C, B, F, ^]
  143. - - gruen
  144. - [N, S, R, O, M, P, Q, ^]
  145. - - rot
  146. - [I, H, L, G, K, J, ^]
  147. - - blau
  148. - [T, U, W, Z, V, Y, X, ^]
  149. - - weiss
  150. - [<, ' ', '?', word, end, ^]
  151. training_string: Gustav
  152. confirmation_yes: 1
  153. confirmation_no: 1
  154. feedback: !munch.Munch
  155. states: !munch.Munch
  156. down: [0.0, 0.0, 0.3]
  157. up: [1.0, 0.7, 1.0]
  158. mode: [Training, Validation]
  159. number_of_stim: 10
  160. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  161. selected_mode: 0
  162. play_end_feedback: !munch.Munch {success: true, fail: true}
  163. symmetrical: true
  164. audio_path: /kiap/data/speller/feedback/
  165. color: !munch.Munch
  166. word_prediction: false
  167. selected_confirmation_method: 0
  168. general_user_corpus: general_user_cfd.txt
  169. states:
  170. - - gelb
  171. - [E, A, D, C, B, F, ^]
  172. - - gruen
  173. - [N, S, R, O, M, P, Q, ^]
  174. - - rot
  175. - [I, H, L, G, K, J, ^]
  176. - - blau
  177. - [T, U, W, Z, V, Y, X, ^]
  178. - - weiss
  179. - [<, ' ', end, ^]
  180. confirmation_methods: [single, double_yes, best_of_three]
  181. validation_string: ''
  182. speller_user_corpus: speller_user.txt
  183. general_corpus: cfd_tiger.p
  184. init_string: ''
  185. mode: [Validation, Free]
  186. n_repeat_unclassified: 1
  187. selected_mode: 1
  188. corpora_path: /kiap/data/speller/Corpora
  189. max_length_vocabulary: 5
  190. audio_path: /kiap/data/speller/Audio
  191. question: !munch.Munch
  192. mode: [Training, Validation, Free]
  193. selected_mode: 2
  194. audio_path: /kiap/data/speller/Audio/question
  195. number_of_stim: 10
  196. symmetrical: true
  197. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  198. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-15,
  199. filename_data: /data/clinical/neural/fr/2020-01-15/data_17_12_51.bin, filename_baseline: /data/clinical/neural/fr/2020-01-15/bl_17_12_51.npy,
  200. filename_log_info: /data/clinical/neural/fr/2020-01-15/info_17_12_51.log, filename_log_debug: /data/clinical/neural/fr/2020-01-15/debug_17_12_51.log,
  201. filename_events: /data/clinical/neural/fr/2020-01-15/events_17_12_51.txt, filename_config: /data/clinical/neural/fr/2020-01-15/config_17_12_51.yaml,
  202. filename_paradigm: /data/clinical/neural/fr/2020-01-15/paradigm_17_12_51.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-15/config_dump_17_12_51.yaml,
  203. filename_git_patch: /data/clinical/neural/fr/2020-01-15/git_changes_17_12_51.patch,
  204. filename_history: /data/clinical/neural/fr/2020-01-15/history.bin, git_hash: 52c204f}
  205. recording: !munch.Munch
  206. timing: !munch.Munch {recording_loop_interval_data: 0.02, recording_loop_interval: 0.05,
  207. t_baseline_1: 5.0, t_after_stimulus: 0.2, bci_loop_interval: 0.05, t_baseline_all: 1.0,
  208. t_baseline_rand: 1.0, t_response: 5.0, decoder_refresh_interval: 0.01}
  209. buffer: !munch.Munch
  210. length: 600
  211. shape: [600, 128]