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2020.1.9.1 jhu_primitives-2020.1.9.1-py3-none-any.whl

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Project: jhu-primitives
Version: 2020.1.9.1
Filename: jhu_primitives-2020.1.9.1-py3-none-any.whl
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Uploaded: 2020-01-17 04:38:21 +0000

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METADATA

Metadata-Version: 2.0
Name: jhu-primitives
Version: 2020.1.9.1
Summary: JHU Python interfaces for TA1 primitives for d3m
Author: Hayden S. Helm, Joshua Agterberg, Bijan Varjavand, Disa Mhembere, Eric Bridgeford, Youngser Park, Heather G. Patsolic, Tyler M. Tomita, Jesse L. Patsolic
Author-Email: hhelm2[at]jhu.edu
Home-Page: https://github.com/neurodata/primitives-interfaces
Keywords: d3m_primitive
Requires-Dist: d3m
Requires-Dist: typing
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: jinja2
Requires-Dist: scipy
Requires-Dist: cython
Requires-Dist: lapjv (==1.2.0)
Requires-Dist: graspy (>=0.0.2)
Requires-Dist: networkx
[Description omitted; length: 83 characters]

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jhu_primitives

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classification.gaussian_classification.JHU = jhu_primitives.gclass:GaussianClassification
data_preprocessing.largest_connected_component.JHU = jhu_primitives.lcc:LargestConnectedComponent
data_transformation.adjacency_spectral_embedding.JHU = jhu_primitives.ase:AdjacencySpectralEmbedding
data_transformation.laplacian_spectral_embedding.JHU = jhu_primitives.lse:LaplacianSpectralEmbedding
data_transformation.load_graphs.JHU = jhu_primitives.load_graphs:LoadGraphs
graph_clustering.gaussian_clustering.JHU = jhu_primitives.gclust:GaussianClustering
graph_matching.seeded_graph_matching.JHU = jhu_primitives.sgm:SeededGraphMatching
link_prediction.data_conversion.JHU = jhu_primitives.link_pred_graph_reader:LinkPredictionGraphReader
link_prediction.rank_classification.JHU = jhu_primitives.link_pred_rc:LinkPredictionRankClassifier
vertex_nomination.spectral_graph_clustering.JHU = jhu_primitives.sgc:SpectralGraphClustering
vertex_nomination.spectral_vertex_nomination.JHU = jhu_primitives.sgvn:SingleGraphVertexNomination
git+https://github.com/neurodata/graspy.git#egg=master