config_dump_13_16_42.yaml 7.9 KB

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  1. !munch.Munch
  2. classifier: !munch.Munch
  3. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  4. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  5. max_active_ch_nr: []
  6. trigger_pos: start
  7. n_classes: 2
  8. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  9. include_channels: [20]
  10. saved_model_conf_name: config/model_conf.yaml
  11. thr_prob: 0.8
  12. psth: !munch.Munch
  13. cut: [-40, 100]
  14. n_triggers: 2
  15. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  16. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  17. args:
  18. - !!python/name:numpy.ndarray ''
  19. - !!python/tuple [0]
  20. - !!binary |
  21. Yg==
  22. state: !!python/tuple
  23. - 1
  24. - !!python/tuple [8]
  25. - !!python/object/apply:numpy.dtype
  26. args: [i8, 0, 1]
  27. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  28. - false
  29. - !!binary |
  30. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  31. AAAAAAAAAA==
  32. exclude_data_channels: []
  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. thr_window: 40
  41. deadtime: 40
  42. break_loop: true
  43. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  44. online: false
  45. n_neg_train: 100000
  46. n_features: 1024
  47. daq: !munch.Munch
  48. car_channels: []
  49. spike_band_power: !munch.Munch
  50. integrated_samples: 1500
  51. sample_group: 6
  52. average_n_bins: 10
  53. loop_interval: 50
  54. filter: !munch.Munch
  55. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  56. a: [1, -1.91119706742607, 0.914975834801434]
  57. smpl_fct: 30
  58. daq_sleep: 0.1
  59. normalization: !munch.Munch
  60. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  61. channels:
  62. - !munch.Munch {id: 17, bottom: 2.5, top: 5.5, invert: true}
  63. clamp_firing_rates: true
  64. do_update: false
  65. range: [10, 90]
  66. use_all_channels: false
  67. update_interval: 10.0
  68. len: 600.0
  69. data_source: spike_rates
  70. exclude_channels: []
  71. fs: 30000.0
  72. n_channels_max: 128
  73. trigger_len: 50
  74. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  75. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  76. n_channels: 128
  77. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  78. speller: !munch.Munch {speller_matrix: true, audio_result_fb: false, type: color,
  79. audio: true, pyttsx_rate: 100}
  80. feedback: !munch.Munch {feedback_tone: true, alpha: 360, target_n_tones: 5, hold_iterations: 2,
  81. beta: 120, target_tone_length: 1.0, tone_length: 0.25}
  82. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  83. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-03-06,
  84. filename_data: /data/clinical/neural/fr/2020-03-06/data_13_16_42.bin, filename_baseline: /data/clinical/neural/fr/2020-03-06/bl_13_16_42.npy,
  85. filename_log_info: /data/clinical/neural/fr/2020-03-06/info_13_16_42.log, filename_log_debug: /data/clinical/neural/fr/2020-03-06/debug_13_16_42.log,
  86. filename_events: /data/clinical/neural/fr/2020-03-06/events_13_16_42.txt, filename_config: /data/clinical/neural/fr/2020-03-06/config_13_16_42.yaml,
  87. filename_paradigm: /data/clinical/neural/fr/2020-03-06/paradigm_13_16_42.yaml, filename_config_dump: /data/clinical/neural/fr/2020-03-06/config_dump_13_16_42.yaml,
  88. filename_git_patch: /data/clinical/neural/fr/2020-03-06/git_changes_13_16_42.patch,
  89. filename_history: /data/clinical/neural/fr/2020-03-06/history.bin, git_hash: 678b177}
  90. session: !munch.Munch
  91. flags: !munch.Munch {decode: false, bl_rand: true, bl: true, stimulus: true}
  92. recording: !munch.Munch
  93. timing: !munch.Munch {t_after_stimulus: 0.2, t_baseline_1: 5.0, decoder_refresh_interval: 0.01,
  94. recording_loop_interval: 0.05, t_baseline_rand: 1.0, t_response: 5.0, bci_loop_interval: 0.05,
  95. t_baseline_all: 1.0, recording_loop_interval_data: 0.02}
  96. lfp: !munch.Munch
  97. fs: 1000
  98. sampling_ratio: 30
  99. filter_fc_lb: [10, 0]
  100. filter_fc_mb: [12, 40]
  101. filter_fc_hb: [60, 250]
  102. filter_order_lb: 2
  103. filter_order_mb: 6
  104. filter_order_hb: 10
  105. artifact_thr: 400
  106. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  107. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  108. array21: [0, 1]
  109. array22: []
  110. array1_exclude: []
  111. array2_exclude: []
  112. i_start: 0
  113. i_stop: -1
  114. psth_win: [-1000, 5000]
  115. exclude: false
  116. normalize: false
  117. zscore: false
  118. car: true
  119. sub_band: 1
  120. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  121. spectra: !munch.Munch {spgr_len: 500}
  122. plot: !munch.Munch
  123. ch_ids: [0]
  124. general: true
  125. filters: false
  126. array2: [0, 1]
  127. general: !munch.Munch {debug: 1, clear_trial_history: false}
  128. system: !munch.Munch {plot: 0}
  129. sim_data: !munch.Munch {rate_bl: 10}
  130. buffer: !munch.Munch
  131. length: 600
  132. shape: [600, 128]
  133. paradigms: !munch.Munch
  134. variablesToShowInGUI: !munch.Munch
  135. variableGroups: [timing, color]
  136. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  137. t: 1
  138. question: !munch.Munch
  139. mode: [Training, Validation, Free]
  140. selected_mode: 1
  141. audio_path: /kiap/data/speller/Audio/question
  142. number_of_stim: 10
  143. symmetrical: true
  144. exploration: !munch.Munch
  145. mode: [Screening]
  146. selected_mode: 0
  147. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  148. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  149. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  150. audio_path: /kiap/data/speller/Audio/exploration
  151. number_of_stim: 5
  152. feedback: !munch.Munch
  153. selected_mode: 0
  154. number_of_stim: 10
  155. mode: [Training, Validation]
  156. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  157. audio_path: /kiap/data/speller/feedback/
  158. states: !munch.Munch
  159. down: [0.0, 0.0, 0.3]
  160. up: [1.0, 0.7, 1.0]
  161. symmetrical: true
  162. play_end_feedback: !munch.Munch {success: true, fail: true}
  163. color: !munch.Munch
  164. confirmation_num_no: 1
  165. selected_mode: 1
  166. mode: [Validation, Free]
  167. opposite_answers_methods: [last, majority]
  168. audio_path: /kiap/data/speller/Audio
  169. n_repeat_unclassified: 1
  170. confirmation_num_yes: 2
  171. max_length_vocabulary: 5
  172. validation_string: ''
  173. speller_user_corpus: speller_user.txt
  174. word_prediction: false
  175. init_string: ''
  176. states:
  177. - - gelb
  178. - [E, A, D, C, B, F, ^]
  179. - - gruen
  180. - [N, S, R, O, M, P, Q, ^]
  181. - - rot
  182. - [I, H, L, G, K, J, ^]
  183. - - blau
  184. - [T, U, W, Z, V, Y, X, ^]
  185. - - weiss
  186. - [<, ' ', <<<, ., end, ^]
  187. selected_opposite_answers_method: 0
  188. general_corpus: cfd_leipzig.p
  189. general_user_corpus: general_user_cfd.txt
  190. corpora_path: /kiap/data/speller/Corpora
  191. training_color: !munch.Munch
  192. mode: [Training]
  193. selected_mode: 0
  194. states:
  195. - - gelb
  196. - [E, A, D, C, B, F, ^]
  197. - - gruen
  198. - [N, S, R, O, M, P, Q, ^]
  199. - - rot
  200. - [I, H, L, G, K, J, ^]
  201. - - blau
  202. - [T, U, W, Z, V, Y, X, ^]
  203. - - weiss
  204. - [<, <<<, ., '?', word, end, ^]
  205. training_string: Gustav
  206. confirmation_yes: 1
  207. confirmation_no: 1
  208. plot: !munch.Munch
  209. filter_min_rate: 2
  210. fps: 10.0
  211. pca: false
  212. channels: [20, 24, 99]
  213. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]