config_dump_14_21_15.yaml 7.9 KB

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  1. !munch.Munch
  2. classifier: !munch.Munch
  3. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  4. n_triggers: 2
  5. max_active_ch_nr: []
  6. include_channels: [20]
  7. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  8. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  9. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  10. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  11. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  12. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  13. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  14. deadtime: 40
  15. n_classes: 2
  16. exclude_data_channels: []
  17. saved_model_conf_name: config/model_conf.yaml
  18. n_neg_train: 100000
  19. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  20. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  21. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  22. args:
  23. - !!python/name:numpy.ndarray ''
  24. - !!python/tuple [0]
  25. - !!binary |
  26. Yg==
  27. state: !!python/tuple
  28. - 1
  29. - !!python/tuple [8]
  30. - !!python/object/apply:numpy.dtype
  31. args: [i8, 0, 1]
  32. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  33. - false
  34. - !!binary |
  35. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  36. AAAAAAAAAA==
  37. psth: !munch.Munch
  38. cut: [-40, 100]
  39. trigger_pos: start
  40. thr_prob: 0.8
  41. online: false
  42. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  43. break_loop: true
  44. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  45. thr_window: 40
  46. n_features: 1024
  47. speller: !munch.Munch {pyttsx_rate: 100, audio: true, type: color, speller_matrix: true,
  48. audio_result_fb: false}
  49. daq: !munch.Munch
  50. spike_band_power: !munch.Munch
  51. filter: !munch.Munch
  52. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  53. a: [1, -1.91119706742607, 0.914975834801434]
  54. sample_group: 6
  55. integrated_samples: 1500
  56. loop_interval: 50
  57. average_n_bins: 10
  58. daq_sleep: 0.1
  59. n_channels_max: 128
  60. data_source: spike_rates
  61. exclude_channels: []
  62. car_channels: []
  63. trigger_len: 50
  64. normalization: !munch.Munch
  65. update_interval: 10.0
  66. use_all_channels: false
  67. clamp_firing_rates: true
  68. channels:
  69. - !munch.Munch {id: 21, bottom: 2.5, top: 5.0, invert: false}
  70. do_update: false
  71. range: [10, 90]
  72. len: 600.0
  73. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  74. smpl_fct: 30
  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. fs: 30000.0
  78. n_channels: 128
  79. plot: !munch.Munch
  80. fps: 10.0
  81. filter_min_rate: 2
  82. channels: [20, 24, 99]
  83. pca: false
  84. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  85. session: !munch.Munch
  86. flags: !munch.Munch {bl: true, decode: false, bl_rand: true, stimulus: true}
  87. paradigms: !munch.Munch
  88. exploration: !munch.Munch
  89. mode: [Screening]
  90. selected_mode: 0
  91. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  92. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  93. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  94. audio_path: /kiap/data/speller/Audio/exploration
  95. number_of_stim: 5
  96. training_color: !munch.Munch
  97. mode: [Training]
  98. selected_mode: 0
  99. states:
  100. - - gelb
  101. - [E, A, D, C, B, F, ^]
  102. - - gruen
  103. - [N, S, R, O, M, P, Q, ^]
  104. - - rot
  105. - [I, H, L, G, K, J, ^]
  106. - - blau
  107. - [T, U, W, Z, V, Y, X, ^]
  108. - - weiss
  109. - [<, <<<, ., '?', word, end, ^]
  110. training_string: Gustav
  111. confirmation_yes: 1
  112. confirmation_no: 1
  113. question: !munch.Munch
  114. mode: [Training, Validation, Free]
  115. selected_mode: 1
  116. audio_path: /kiap/data/speller/Audio/question
  117. number_of_stim: 10
  118. symmetrical: true
  119. color: !munch.Munch
  120. corpora_path: /kiap/data/speller/Corpora
  121. init_string: ''
  122. confirmation_num_no: 1
  123. validation_string: ''
  124. n_repeat_unclassified: 1
  125. general_corpus: cfd_leipzig.p
  126. general_user_corpus: general_user_cfd.txt
  127. selected_opposite_answers_method: 0
  128. states:
  129. - - gelb
  130. - [E, A, D, C, B, F, ^]
  131. - - gruen
  132. - [N, S, R, O, M, P, Q, ^]
  133. - - rot
  134. - [I, H, L, G, K, J, ^]
  135. - - blau
  136. - [T, U, W, Z, V, Y, X, ^]
  137. - - weiss
  138. - [<, <<<, ' ', ., end, ^]
  139. mode: [Validation, Free]
  140. speller_user_corpus: speller_user.txt
  141. word_prediction: true
  142. opposite_answers_methods: [last, majority]
  143. confirmation_num_yes: 2
  144. max_length_vocabulary: 5
  145. selected_mode: 1
  146. audio_path: /kiap/data/speller/Audio
  147. variablesToShowInGUI: !munch.Munch
  148. variableGroups: [timing, color]
  149. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  150. t: 1
  151. feedback: !munch.Munch
  152. mode: [Training, Validation]
  153. number_of_stim: 10
  154. audio_path: /kiap/data/speller/feedback/
  155. selected_mode: 0
  156. symmetrical: true
  157. states: !munch.Munch
  158. down: [0.0, 0.0, 0.3]
  159. up: [1.0, 0.7, 1.0]
  160. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  161. play_end_feedback: !munch.Munch {success: true, fail: true}
  162. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  163. system: !munch.Munch {plot: 0}
  164. buffer: !munch.Munch
  165. length: 600
  166. shape: [600, 128]
  167. lfp: !munch.Munch
  168. fs: 1000
  169. sampling_ratio: 30
  170. filter_fc_lb: [10, 0]
  171. filter_fc_mb: [12, 40]
  172. filter_fc_hb: [60, 250]
  173. filter_order_lb: 2
  174. filter_order_mb: 6
  175. filter_order_hb: 10
  176. artifact_thr: 400
  177. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  178. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  179. array21: [0, 1]
  180. array22: []
  181. array1_exclude: []
  182. array2_exclude: []
  183. i_start: 0
  184. i_stop: -1
  185. psth_win: [-1000, 5000]
  186. exclude: false
  187. normalize: false
  188. zscore: false
  189. car: true
  190. sub_band: 1
  191. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  192. spectra: !munch.Munch {spgr_len: 500}
  193. plot: !munch.Munch
  194. ch_ids: [0]
  195. general: true
  196. filters: false
  197. array2: [0, 1]
  198. sim_data: !munch.Munch {rate_bl: 10}
  199. feedback: !munch.Munch {tone_length: 0.25, target_tone_length: 1.0, alpha: 360, hold_iterations: 2,
  200. feedback_tone: true, beta: 120, target_n_tones: 5}
  201. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  202. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-02-24,
  203. filename_data: /data/clinical/neural/fr/2020-02-24/data_14_21_15.bin, filename_baseline: /data/clinical/neural/fr/2020-02-24/bl_14_21_15.npy,
  204. filename_log_info: /data/clinical/neural/fr/2020-02-24/info_14_21_15.log, filename_log_debug: /data/clinical/neural/fr/2020-02-24/debug_14_21_15.log,
  205. filename_events: /data/clinical/neural/fr/2020-02-24/events_14_21_15.txt, filename_config: /data/clinical/neural/fr/2020-02-24/config_14_21_15.yaml,
  206. filename_paradigm: /data/clinical/neural/fr/2020-02-24/paradigm_14_21_15.yaml, filename_config_dump: /data/clinical/neural/fr/2020-02-24/config_dump_14_21_15.yaml,
  207. filename_git_patch: /data/clinical/neural/fr/2020-02-24/git_changes_14_21_15.patch,
  208. filename_history: /data/clinical/neural/fr/2020-02-24/history.bin, git_hash: 678b177}
  209. general: !munch.Munch {debug: 1, clear_trial_history: false}
  210. recording: !munch.Munch
  211. timing: !munch.Munch {t_after_stimulus: 0.2, bci_loop_interval: 0.05, recording_loop_interval: 0.05,
  212. t_baseline_rand: 1.0, recording_loop_interval_data: 0.02, t_baseline_1: 5.0, t_baseline_all: 1.0,
  213. decoder_refresh_interval: 0.01, t_response: 5.0}