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example-get-started

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  1. [[package]]
    2. 

  2. name = "joblib"
    3. 

  3. version = "1.0.1"
    4. 

  4. description = "Lightweight pipelining with Python functions"
    5. 

  5. category = "dev"
    6. 

  6. optional = false
    7. 

  7. python-versions = ">=3.6"
    8. 

  8. 

  9. [[package]]
    10. 

  10. name = "numpy"
    11. 

  11. version = "1.20.1"
    12. 

  12. description = "NumPy is the fundamental package for array computing with Python."
    13. 

  13. category = "dev"
    14. 

  14. optional = false
    15. 

  15. python-versions = ">=3.7"
    16. 

  16. 

  17. [[package]]
    18. 

  18. name = "pandas"
    19. 

  19. version = "1.2.3"
    20. 

  20. description = "Powerful data structures for data analysis, time series, and statistics"
    21. 

  21. category = "dev"
    22. 

  22. optional = false
    23. 

  23. python-versions = ">=3.7.1"
    24. 

  24. 

  25. [package.dependencies]
    26. 

  26. numpy = ">=1.16.5"
    27. 

  27. python-dateutil = ">=2.7.3"
    28. 

  28. pytz = ">=2017.3"
    29. 

  29. 

  30. [package.extras]
    31. 

  31. test = ["pytest (>=5.0.1)", "pytest-xdist", "hypothesis (>=3.58)"]
    32. 

  32. 

  33. [[package]]
    34. 

  34. name = "pyaml"
    35. 

  35. version = "20.4.0"
    36. 

  36. description = "PyYAML-based module to produce pretty and readable YAML-serialized data"
    37. 

  37. category = "dev"
    38. 

  38. optional = false
    39. 

  39. python-versions = "*"
    40. 

  40. 

  41. [package.dependencies]
    42. 

  42. PyYAML = "*"
    43. 

  43. 

  44. [[package]]
    45. 

  45. name = "python-dateutil"
    46. 

  46. version = "2.8.1"
    47. 

  47. description = "Extensions to the standard Python datetime module"
    48. 

  48. category = "dev"
    49. 

  49. optional = false
    50. 

  50. python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
    51. 

  51. 

  52. [package.dependencies]
    53. 

  53. six = ">=1.5"
    54. 

  54. 

  55. [[package]]
    56. 

  56. name = "pytz"
    57. 

  57. version = "2021.1"
    58. 

  58. description = "World timezone definitions, modern and historical"
    59. 

  59. category = "dev"
    60. 

  60. optional = false
    61. 

  61. python-versions = "*"
    62. 

  62. 

  63. [[package]]
    64. 

  64. name = "pyyaml"
    65. 

  65. version = "5.4.1"
    66. 

  66. description = "YAML parser and emitter for Python"
    67. 

  67. category = "dev"
    68. 

  68. optional = false
    69. 

  69. python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
    70. 

  70. 

  71. [[package]]
    72. 

  72. name = "scikit-learn"
    73. 

  73. version = "0.24.1"
    74. 

  74. description = "A set of python modules for machine learning and data mining"
    75. 

  75. category = "dev"
    76. 

  76. optional = false
    77. 

  77. python-versions = ">=3.6"
    78. 

  78. 

  79. [package.dependencies]
    80. 

  80. joblib = ">=0.11"
    81. 

  81. numpy = ">=1.13.3"
    82. 

  82. scipy = ">=0.19.1"
    83. 

  83. threadpoolctl = ">=2.0.0"
    84. 

  84. 

  85. [package.extras]
    86. 

  86. benchmark = ["matplotlib (>=2.1.1)", "pandas (>=0.25.0)", "memory-profiler (>=0.57.0)"]
    87. 

  87. docs = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=3.2.0)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.0.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)"]
    88. 

  88. examples = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)"]
    89. 

  89. tests = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "mypy (>=0.770)", "pyamg (>=4.0.0)"]
    90. 

  90. 

  91. [[package]]
    92. 

  92. name = "scipy"
    93. 

  93. version = "1.6.1"
    94. 

  94. description = "SciPy: Scientific Library for Python"
    95. 

  95. category = "dev"
    96. 

  96. optional = false
    97. 

  97. python-versions = ">=3.7"
    98. 

  98. 

  99. [package.dependencies]
    100. 

  100. numpy = ">=1.16.5"
    101. 

  101. 

  102. [[package]]
    103. 

  103. name = "six"
    104. 

  104. version = "1.15.0"
    105. 

  105. description = "Python 2 and 3 compatibility utilities"
    106. 

  106. category = "dev"
    107. 

  107. optional = false
    108. 

  108. python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
    109. 

  109. 

  110. [[package]]
    111. 

  111. name = "sklearn"
    112. 

  112. version = "0.0"
    113. 

  113. description = "A set of python modules for machine learning and data mining"
    114. 

  114. category = "dev"
    115. 

  115. optional = false
    116. 

  116. python-versions = "*"
    117. 

  117. 

  118. [package.dependencies]
    119. 

  119. scikit-learn = "*"
    120. 

  120. 

  121. [[package]]
    122. 

  122. name = "threadpoolctl"
    123. 

  123. version = "2.1.0"
    124. 

  124. description = "threadpoolctl"
    125. 

  125. category = "dev"
    126. 

  126. optional = false
    127. 

  127. python-versions = ">=3.5"
    128. 

  128. 

  129. [metadata]
    130. 

  130. lock-version = "1.1"
    131. 

  131. python-versions = "^3.8"
    132. 

  132. content-hash = "c162a731f1149a71276d7dd717425c4be910fc9a81f762be5fab149fde77b279"
    133. 

  133. 

  134. [metadata.files]
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  135. joblib = [
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  137.     {file = "joblib-1.0.1.tar.gz", hash = "sha256:9c17567692206d2f3fb9ecf5e991084254fe631665c450b443761c4186a613f7"},
    138. 

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    139. 

  139. numpy = [
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  140.     {file = "numpy-1.20.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ae61f02b84a0211abb56462a3b6cd1e7ec39d466d3160eb4e1da8bf6717cdbeb"},
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  164. ]
    165. 

  165. pandas = [
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  166.     {file = "pandas-1.2.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4d821b9b911fc1b7d428978d04ace33f0af32bb7549525c8a7b08444bce46b74"},
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    178. 

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  179.     {file = "pandas-1.2.3-cp39-cp39-win32.whl", hash = "sha256:d59842a5aa89ca03c2099312163ffdd06f56486050e641a45d926a072f04d994"},
    180. 

  180.     {file = "pandas-1.2.3-cp39-cp39-win_amd64.whl", hash = "sha256:09761bf5f8c741d47d4b8b9073288de1be39bbfccc281d70b889ade12b2aad29"},
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  181.     {file = "pandas-1.2.3.tar.gz", hash = "sha256:df6f10b85aef7a5bb25259ad651ad1cc1d6bb09000595cab47e718cbac250b1d"},
    182. 

  182. ]
    183. 

  183. pyaml = [
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  184.     {file = "pyaml-20.4.0-py2.py3-none-any.whl", hash = "sha256:67081749a82b72c45e5f7f812ee3a14a03b3f5c25ff36ec3b290514f8c4c4b99"},
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  185.     {file = "pyaml-20.4.0.tar.gz", hash = "sha256:29a5c2a68660a799103d6949167bd6c7953d031449d08802386372de1db6ad71"},
    186. 

  186. ]
    187. 

  187. python-dateutil = [
    188. 

  188.     {file = "python-dateutil-2.8.1.tar.gz", hash = "sha256:73ebfe9dbf22e832286dafa60473e4cd239f8592f699aa5adaf10050e6e1823c"},
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  189.     {file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
    190. 

  190. ]
    191. 

  191. pytz = [
    192. 

  192.     {file = "pytz-2021.1-py2.py3-none-any.whl", hash = "sha256:eb10ce3e7736052ed3623d49975ce333bcd712c7bb19a58b9e2089d4057d0798"},
    193. 

  193.     {file = "pytz-2021.1.tar.gz", hash = "sha256:83a4a90894bf38e243cf052c8b58f381bfe9a7a483f6a9cab140bc7f702ac4da"},
    194. 

  194. ]
    195. 

  195. pyyaml = [
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  196.     {file = "PyYAML-5.4.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:3b2b1824fe7112845700f815ff6a489360226a5609b96ec2190a45e62a9fc922"},
    197. 

  197.     {file = "PyYAML-5.4.1-cp27-cp27m-win32.whl", hash = "sha256:129def1b7c1bf22faffd67b8f3724645203b79d8f4cc81f674654d9902cb4393"},
    198. 

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    199. 

  199.     {file = "PyYAML-5.4.1-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:bb4191dfc9306777bc594117aee052446b3fa88737cd13b7188d0e7aa8162185"},
    200. 

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    201. 

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  216.     {file = "PyYAML-5.4.1.tar.gz", hash = "sha256:607774cbba28732bfa802b54baa7484215f530991055bb562efbed5b2f20a45e"},
    217. 

  217. ]
    218. 

  218. scikit-learn = [
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  219.     {file = "scikit-learn-0.24.1.tar.gz", hash = "sha256:a0334a1802e64d656022c3bfab56a73fbd6bf4b1298343f3688af2151810bbdf"},
    220. 

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    222. 

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    223. 

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    224. 

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    225. 

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    226. 

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    227. 

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    228. 

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    230. 

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    248. 

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    263. 

  263.     {file = "scipy-1.6.1-cp39-cp39-manylinux1_i686.whl", hash = "sha256:83bf7c16245c15bc58ee76c5418e46ea1811edcc2e2b03041b804e46084ab627"},
    264. 

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    265. 

  265.     {file = "scipy-1.6.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:5da5471aed911fe7e52b86bf9ea32fb55ae93e2f0fac66c32e58897cfb02fa07"},
    266. 

  266.     {file = "scipy-1.6.1-cp39-cp39-win32.whl", hash = "sha256:8e403a337749ed40af60e537cc4d4c03febddcc56cd26e774c9b1b600a70d3e4"},
    267. 

  267.     {file = "scipy-1.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:a5193a098ae9f29af283dcf0041f762601faf2e595c0db1da929875b7570353f"},
    268. 

  268.     {file = "scipy-1.6.1.tar.gz", hash = "sha256:c4fceb864890b6168e79b0e714c585dbe2fd4222768ee90bc1aa0f8218691b11"},
    269. 

  269. ]
    270. 

  270. six = [
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  271.     {file = "six-1.15.0-py2.py3-none-any.whl", hash = "sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"},
    272. 

  272.     {file = "six-1.15.0.tar.gz", hash = "sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259"},
    273. 

  273. ]
    274. 

  274. sklearn = [
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  275.     {file = "sklearn-0.0.tar.gz", hash = "sha256:e23001573aa194b834122d2b9562459bf5ae494a2d59ca6b8aa22c85a44c0e31"},
    276. 

  276. ]
    277. 

  277. threadpoolctl = [
    278. 

  278.     {file = "threadpoolctl-2.1.0-py3-none-any.whl", hash = "sha256:38b74ca20ff3bb42caca8b00055111d74159ee95c4370882bbff2b93d24da725"},
    279. 

  279.     {file = "threadpoolctl-2.1.0.tar.gz", hash = "sha256:ddc57c96a38beb63db45d6c159b5ab07b6bced12c45a1f07b2b92f272aebfa6b"},
    280. 

  280. ]
    281.
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