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aadams149
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ppol628-final-project
connected to https://github.com/aadams149/ppol628-final-project.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   multiclass_state:
    4. 

  4.     cmd: python multiclass_state.py
    5. 

  5.     deps:
    6. 

  6.     - path: data/elected_officials.csv
    7. 

  7.       md5: 5d8880c7cfe7123fd6e74e5f94bf12e3
    8. 

  8.       size: 23308
    9. 

  9.     - path: data/tweets.csv
    10. 

  10.       md5: aaac6aa05b6bc64c6cff12ee4a2c3240
    11. 

  11.       size: 29380229
    12. 

  12.     - path: multiclass_state.py
    13. 

  13.       md5: c897e18e020b9968af1ad8015fd1c2a5
    14. 

  14.       size: 2609
    15. 

  15.     params:
    16. 

  16.       params.yaml:
    17. 

  17.         preprocessing.max_min_docs:
    18. 

  18.           smallest: 5
    19. 

  19.           largest: 0.8
    20. 

  20.         preprocessing.n_grams:
    21. 

  21.           min: 1
    22. 

  22.           max: 2
    23. 

  23.     outs:
    24. 

  24.     - path: metrics/mc_state_metrics.json
    25. 

  25.       md5: f608dc2a9da91727014164b92c1c0075
    26. 

  26.       size: 89
    27. 

  27.     - path: outputs/mc_state_pipe.pkl
    28. 

  28.       md5: bc59474da32683daeff85936cdd2849b
    29. 

  29.       size: 11673057
    30. 

  30.   multiclass_office:
    31. 

  31.     cmd: python multiclass_office.py
    32. 

  32.     deps:
    33. 

  33.     - path: data/elected_officials.csv
    34. 

  34.       md5: 5d8880c7cfe7123fd6e74e5f94bf12e3
    35. 

  35.       size: 23308
    36. 

  36.     - path: data/tweets.csv
    37. 

  37.       md5: aaac6aa05b6bc64c6cff12ee4a2c3240
    38. 

  38.       size: 29380229
    39. 

  39.     - path: multiclass_office.py
    40. 

  40.       md5: e84b450275bf0a94a1ea46629af16fe5
    41. 

  41.       size: 2531
    42. 

  42.     params:
    43. 

  43.       params.yaml:
    44. 

  44.         preprocessing.max_min_docs:
    45. 

  45.           smallest: 5
    46. 

  46.           largest: 0.8
    47. 

  47.         preprocessing.n_grams:
    48. 

  48.           min: 1
    49. 

  49.           max: 2
    50. 

  50.     outs:
    51. 

  51.     - path: metrics/mc_office_metrics.json
    52. 

  52.       md5: 0ab35738bc6331243390ca93257aa1c0
    53. 

  53.       size: 89
    54. 

  54.     - path: outputs/mc_office_pipe.pkl
    55. 

  55.       md5: 833414f93e614a0e771ccebefd89a575
    56. 

  56.       size: 6261418
    57. 

  57.   twoclass_party:
    58. 

  58.     cmd: python twoclass_party.py
    59. 

  59.     deps:
    60. 

  60.     - path: data/elected_officials.csv
    61. 

  61.       md5: 1ab400296f4c902de6e26dd4009f9464
    62. 

  62.       size: 22934
    63. 

  63.     - path: data/tweets.csv
    64. 

  64.       md5: aaac6aa05b6bc64c6cff12ee4a2c3240
    65. 

  65.       size: 29380229
    66. 

  66.     - path: twoclass_party.py
    67. 

  67.       md5: f857a7b616dae2d6759f8686b5f930d9
    68. 

  68.       size: 2570
    69. 

  69.     params:
    70. 

  70.       params.yaml:
    71. 

  71.         preprocessing.max_min_docs:
    72. 

  72.           smallest: 5
    73. 

  73.           largest: 0.8
    74. 

  74.         preprocessing.n_grams:
    75. 

  75.           min: 1
    76. 

  76.           max: 2
    77. 

  77.     outs:
    78. 

  78.     - path: metrics/bc_party_metrics.json
    79. 

  79.       md5: 3e570f33f79b6b60fbd401a0c13627a8
    80. 

  80.       size: 89
    81. 

  81.     - path: outputs/bc_party_pipe.pkl
    82. 

  82.       md5: 594521a5293c2aa9eac146c1f98d4d52
    83. 

  83.       size: 5797308
    84.
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