{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.15.1",
  "conda_private": false,
  "conda_version": "4.5.11",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "dpryan79",
      "MathiasHaudgaard",
      "FrodePedersen",
      "ArneKr",
      "johanneskoester",
      "bgruening",
      "daler",
      "jdblischak"
    ]
  },
  "home": "https://cran.r-project.org/web/packages/pdist/index.html",
  "identifiers": [],
  "keywords": [],
  "license": "GPL",
  "license_family": "GPL",
  "root_pkgs": [
    "anaconda-client 1.7.1 py_0",
    "asn1crypto 0.24.0 py36_0",
    "beautifulsoup4 4.6.3 py36_1000",
    "ca-certificates 2018.8.24 ha4d7672_0",
    "certifi 2018.8.24 py36_1001",
    "cffi 1.11.5 py36h945400d_0",
    "chardet 3.0.4 py36h420ce6e_1",
    "click 7.0 py_0",
    "clyent 1.2.2 py_1",
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    "conda-build 3.15.1 py36_0",
    "conda-env 2.6.0 h36134e3_1",
    "conda-forge-ci-setup 2.0.8 py36_0",
    "console_shortcut 0.1.1 h6bb2dd7_3",
    "cryptography 2.2.2 py36hfa6e2cd_0",
    "decorator 4.3.0 py_0",
    "filelock 3.0.9 py_0",
    "glob2 0.6 py_0",
    "idna 2.6 py36h148d497_1",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10 py_1",
    "jsonschema 2.6.0 py36_1002",
    "jupyter_core 4.4.0 py_0",
    "markupsafe 1.0 py36hfa6e2cd_1001",
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    "openssl 1.0.2p hfa6e2cd_1001",
    "pip 10.0.1 py36_0",
    "pkginfo 1.4.2 py_1",
    "psutil 5.4.7 py36hfa6e2cd_1001",
    "pycosat 0.6.3 py36h413d8a4_0",
    "pycparser 2.18 py36hd053e01_1",
    "pyopenssl 18.0.0 py36_0",
    "pysocks 1.6.8 py36_0",
    "python 3.6.5 h0c2934d_0",
    "python-dateutil 2.7.3 py_0",
    "pytz 2018.5 py_0",
    "pywin32 223 py36hfa6e2cd_1",
    "pyyaml 3.13 py36hfa6e2cd_1001",
    "requests 2.18.4 py36h4371aae_1",
    "ruamel_yaml 0.15.37 py36hfa6e2cd_2",
    "setuptools 39.2.0 py36_0",
    "six 1.11.0 py36h4db2310_1",
    "tqdm 4.26.0 py_0",
    "traitlets 4.3.2 py36_1000",
    "urllib3 1.22 py36h276f60a_0",
    "vc 14 h0510ff6_3",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.0.25123 3",
    "wheel 0.31.1 py36_0",
    "wincertstore 0.2 py36h7fe50ca_0",
    "win_inet_pton 1.0.1 py36he67d7fd_1",
    "yaml 0.1.7 vc14_0"
  ],
  "summary": "Computes the euclidean distance between rows of a matrix X and rows of another matrix Y.  Previously, this could be done by binding the two matrices together and calling 'dist', but this creates unnecessary computation by computing the distances between a row of X and another row of X, and likewise for Y. pdist strictly computes distances across the two matrices, not within the same matrix, making computations significantly faster for certain use cases.",
  "tags": []
}