Wheelodex » Projects » sourced-ml-core » sourced_ml_core-0.0.6-py3-none-any.whl

sourced-ml-core

View on PyPI — Reverse Dependencies (0)

0.0.6 sourced_ml_core-0.0.6-py3-none-any.whl

Wheel Details

Project: sourced-ml-core
Version: 0.0.6
Filename: sourced_ml_core-0.0.6-py3-none-any.whl
Download: [link]
Size: 66959
MD5: 13d3210acb85b9f563cd89051b6e4c4b
SHA256: 29742c12cd7766335ddd445777f56f58d620981c81febcc890f71dd86c9e9d73
Uploaded: 2019-10-03 17:21:45 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · namespace_packages.txt

METADATA

Metadata-Version: 2.1
Name: sourced-ml-core
Version: 0.0.6
Summary: Library containing the core algorithms for machine learning on source code. Provides API and tools to train and use models based on source code features extracted from Babelfish's UASTs.
Author: source{d}
Author-Email: machine-learning[at]sourced.tech
Home-Page: https://github.com/src-d/ml-core
Download-Url: https://github.com/src-d/ml-core
License: Apache 2.0
Keywords: machine learning on source code,word2vec,id2vec,github,swivel,bow,bblfsh,babelfish
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.5
Requires-Dist: PyStemmer (<2.0,>=1.3)
Requires-Dist: bblfsh (<5.0,>=3.1.0)
Requires-Dist: modelforge (>=0.15.0)
Requires-Dist: pygments (<3.0,>=2.2.0)
Requires-Dist: keras (<3.0,>=2.0)
Requires-Dist: scikit-learn (<1.0,>=0.21.1)
Requires-Dist: tqdm (<5.0,>=4.20)
Requires-Dist: tensorflow (<1.14,>=1.0); extra == "tf"
Requires-Dist: tensorflow-gpu (<1.14,>=1.0); extra == "tf_gpu"
Provides-Extra: tf
Provides-Extra: tf_gpu
Description-Content-Type: text/markdown
[Description omitted; length: 1332 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
sourced_ml_core-0.0.6-py3.6-nspkg.pth sha256=cDqvcieNWRMVeXYex4pdkpmI7bPoJCZZ2fwQ9bnY-cY 1696
sourced/ml/core/__init__.py sha256=sPuraKFVuX2cmevDu95FhxFNhHzhvWA730R1hhTO6IE 169
sourced/ml/core/modelforgecfg.py sha256=7iawIXLDIcIkKrvZDgco7lQwGfhr-4cAqPt_2JFCAZc 217
sourced/ml/core/algorithms/__init__.py sha256=NyErIkID9JvaxiyKwKfdQkq6wSP0amUt3TTxixJcZgg 666
sourced/ml/core/algorithms/id_embedding.py sha256=rbmWlcGt3VNsjnEykraDwTZRq3u0rf7Oy5mLWPeCoCM 1579
sourced/ml/core/algorithms/swivel.py sha256=XZnRaNWXEmbgXKUK9FXbzY8aKpDCMXBaAFcOIxkAIVA 20664
sourced/ml/core/algorithms/tf_idf.py sha256=vdfIVH2NPl6RTSQaDEYcD50AeZR9sgWihBalNdzYN10 103
sourced/ml/core/algorithms/token_parser.py sha256=dBRV-F7kzJTHyYWUD1Vq5v1Wg9XsRV_OPc_z1AcVIEg 9524
sourced/ml/core/algorithms/uast_id_distance.py sha256=coCirrxcIX2jPTGds9VtCOFwsmfqIIb4flyRQphD40I 4910
sourced/ml/core/algorithms/uast_ids_to_bag.py sha256=Mfmd9WdOuwNnLihTOom36L8JLoNaZI8EZdpGj9Dv6xM 3745
sourced/ml/core/algorithms/uast_inttypes_to_graphlets.py sha256=Oa-IvoDig5cDx4pq_Cw92On6c97_a6OrHp646mALhL4 2190
sourced/ml/core/algorithms/uast_inttypes_to_nodes.py sha256=ViR4NCeO6EYvHutbV6Qm9jI3QuG2r3EgSRLyVQ_FoNk 2341
sourced/ml/core/algorithms/uast_struct_to_bag.py sha256=UGAase7vWXtYjhQQF3Tw-jN3ojLH6lHAHmSIRx7KPSc 7333
sourced/ml/core/algorithms/uast_to_bag.py sha256=wYjBelnVmKKjD2ExQ5ET4PJs4-BSNwG3agxPHlSdfGc 883
sourced/ml/core/algorithms/uast_to_id_sequence.py sha256=hLs4D02Y-mpM3n6iRP0Pv3x3a9TXAFTf-HaPpoYMOeo 990
sourced/ml/core/algorithms/uast_to_role_id_pairs.py sha256=rBhF5SdnxRc3d7OIjFL1gux3EgJgXEtWyUxtjBkl8l8 2680
sourced/ml/core/algorithms/id_splitter/README.md sha256=w9wlXpoAlJ4W-rTOc3EJUlrTBvlMrz3MzvF82Z1bx_M 6075
sourced/ml/core/algorithms/id_splitter/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sourced/ml/core/algorithms/id_splitter/features.py sha256=X99UFeTW6VIUfQA-8F2l3obDmU96YxPyd4V6GZ3ytS0 5629
sourced/ml/core/algorithms/id_splitter/nn_model.py sha256=YOLkpAoBLG-dUiwdBT6yUtlPZIb_GaGmJvPOs_P4QWQ 8845
sourced/ml/core/algorithms/id_splitter/pipeline.py sha256=cZYiVJ-DV9ysjfrhnz2sQN6JkD0_Wz2ddzp6c_PRsao 8121
sourced/ml/core/extractors/__init__.py sha256=kCfUGNu4aTJDtlrr0eMJLCFTSGuUuups1KTadMRiqf0 850
sourced/ml/core/extractors/bags_extractor.py sha256=fG-B4ZJM5Iev3P0-KE3hePNUCKJ0U9Sl1kreEnkI5tE 3325
sourced/ml/core/extractors/children.py sha256=qQ_nUiJS2S42cWiMoaWFNDazRlkyOcVhM9W5tYwO0b0 1764
sourced/ml/core/extractors/graphlets.py sha256=vpSnUB6KAHntzK0MjYXPp6lBmFAyDwXO08TPg85Bnec 1014
sourced/ml/core/extractors/helpers.py sha256=LTu6nd_guuJGjw81gWjJGN5bbvOuvBi-9rEPsQufSQk 1052
sourced/ml/core/extractors/id_sequence.py sha256=jNJPUnKhy-zogLvmtqFULJOwT9_WgK1r4HZLJS01nYI 1270
sourced/ml/core/extractors/identifier_distance.py sha256=MgppcALzV1mvqEfvN1ANZCI2uPFE5JlPzsa-sLborcY 2063
sourced/ml/core/extractors/identifiers.py sha256=zZEbeIhmr7tyaEx5mtHOphxdt4s-AoQsJYigOwZbJqY 726
sourced/ml/core/extractors/literals.py sha256=r5s0JFAw0jRrGMDpyEvsaA2uikWM4ukd7In5-0JRFMA 2399
sourced/ml/core/extractors/uast_random_walk.py sha256=9Z154hUnm3p09H6plC8u27eIuguY7IXnrR3vOrWOC0g 891
sourced/ml/core/extractors/uast_seq.py sha256=QU245JagwDf5bN3bvNUKHaXrhOwjsK_ZMiN7IF6tRyM 856
sourced/ml/core/models/__init__.py sha256=PjN1wjlvyyFkUZPAhbEj6550iQ3Sz-fhMhCfDU8evbo 610
sourced/ml/core/models/bow.py sha256=VJR_DeC-G9JPBOcutgrtXghE3b2wGuUoTlJKcRZAoA0 4706
sourced/ml/core/models/coocc.py sha256=2mwP-3Oh8-8iKcrZgcwm7Oq5gIxRg2YVapaQhNIoVT0 1969
sourced/ml/core/models/df.py sha256=nML9O7zEq3kktf8AQ5_RCQ5nLJZnDYW_NAUKr2DKlNQ 5763
sourced/ml/core/models/id2vec.py sha256=ljXNopiKyjJ8lVSTpcdplrqigq_R43dJT4J_PdfN9DU 1867
sourced/ml/core/models/id_splitter.py sha256=DMyFjBVcsrpGb41ZEKBxpTT7b-rDGT7DQ2Z-mQB1Iq4 5533
sourced/ml/core/models/license.py sha256=t2pc-RGbaxgF2g5RC_U57gbnZbFg0gHSpRW13ZvibKM 73
sourced/ml/core/models/ordered_df.py sha256=D1jcDtG-ey2183VCOtLtRJlnNpX96-gpEOzRoE0MdIM 2068
sourced/ml/core/models/quant.py sha256=sTsRZlbaH2MBwVAhFYYiIoGzgrWsc8rpb4NEbaV1DzU 2271
sourced/ml/core/models/tensorflow.py sha256=1pWqGSuzSW-7RCGRR-qQstqpTmI2cji69Za5axNAROE 1670
sourced/ml/core/models/topics.py sha256=K9xfvFzrWVe9yvuJWRnuEgF1LvGlQDpDpng6lUidsWA 2751
sourced/ml/core/models/model_converters/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sourced/ml/core/models/model_converters/base.py sha256=m1m4WVqHpxqtye2kYr71PlED38-nXNcm8o1O6XIXvHQ 4499
sourced/ml/core/models/model_converters/merge_bow.py sha256=ORlxL73Gu2B86rbhU31bHzpJLzuCMDV1PW0kPrgxWpI 2509
sourced/ml/core/models/model_converters/merge_df.py sha256=uo9vhPtcVHfns96SJr5bPKGBgdVYeJHKGPe-fFW4uNQ 1554
sourced/ml/core/utils/__init__.py sha256=P4ENO2UxMMF88RzawigQm-Npin05fzfryhHd9c9IpH4 142
sourced/ml/core/utils/bblfsh.py sha256=4N8HeQQhKeoMsdKcitBrYy4yOEkds2DZAGvYICBu09k 719
sourced/ml/core/utils/bblfsh_roles.py sha256=D_WgRuJYCuMNvdSP9McBuePH8Qq1PR0nrFRWq60EWyg 432
sourced/ml/core/utils/bigartm.py sha256=7gb2Of-hzP8usb-Ghp3sA7kVTIPIcAO8XkeooUuFb0A 2399
sourced/ml/core/utils/pickleable_logger.py sha256=HlFtQD_oXf5KVm0ctKHTY1agobeMVtGxcIrt7tJ9l5w 897
sourced/ml/core/utils/projector.py sha256=5kca6X-PCoKUKxKBjEtuPNuRuWq0c_EGcOUvcaWrRmE 3089
sourced_ml_core-0.0.6.dist-info/LICENSE.md sha256=LV_OVapYdwc0WR57CE4CA4UD8JzdCzBV91A3BkSUNGQ 10539
sourced_ml_core-0.0.6.dist-info/METADATA sha256=t01D0CwsMS-FIF2zxcLEKoPB_VfT-5_7w-dkI0hNqhI 2789
sourced_ml_core-0.0.6.dist-info/WHEEL sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec 92
sourced_ml_core-0.0.6.dist-info/namespace_packages.txt sha256=tIKDprgw9kgXgAPHU52xYlMO_VFqQv2o458w_7-Dts8 19
sourced_ml_core-0.0.6.dist-info/top_level.txt sha256=wgGi7uba6xhEQ9s0-caxcIPh6cI4JVMhQDe5BljQMRo 8
sourced_ml_core-0.0.6.dist-info/RECORD — —

top_level.txt

sourced

namespace_packages.txt

sourced
sourced.ml