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- Adds an end-to-end test that depends upon `grakn-kglib` from the PyPi test server - Splits out example from main source -Updates READMEs, now there is one for the KGCN example, one for KGCN general usage, and one for the whole repo - Updates some example schema used for the Vienna meetup 29/01/2019 Addresses #35 #36 #37 #31 #30
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# Bazel files | ||
bazel-* | ||
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# IntelliJ Bazel project | ||
.ijwb/ | ||
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# Compiled class file | ||
*.class | ||
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# Research | ||
This repository is the centre of all research projects conducted at Grakn Labs. In particular, it's focus is on the integration of machine learning with the Grakn knowledge graph. | ||
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At present this repo contains one project: [*Knowledge Graph Convolutional Networks* (KGCNs)](/kglib/kgcn). | ||
At present this repo contains one project: [*Knowledge Graph Convolutional Networks* (KGCNs)](https://github.com/graknlabs/kglib/tree/master/kglib/kgcn). | ||
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0.1 | ||
0.1a1 |
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load("@io_bazel_rules_python//python:python.bzl", "py_library", "py_test") | ||
load("@pypi_dependencies//:requirements.bzl", "requirement") | ||
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py_test( | ||
name = "test_pypi_end_to_end_test", | ||
main = "end_to_end_test.py", | ||
srcs = [ | ||
"kgcn/animal_trade/test/end_to_end_test.py" | ||
], | ||
deps = [ | ||
"test-pypi-kglib", | ||
], | ||
data = [ | ||
"@animaltrade_dist//file", | ||
] | ||
) | ||
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py_test( | ||
name = "local_end_to_end_test", | ||
main = "end_to_end_test.py", | ||
srcs = [ | ||
"kgcn/animal_trade/test/end_to_end_test.py" | ||
], | ||
deps = [ | ||
"//kglib:kglib", | ||
], | ||
data = [ | ||
"@animaltrade_dist//file", | ||
] | ||
) | ||
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py_library( | ||
name = "test-pypi-kglib", | ||
srcs = [ | ||
"kgcn/animal_trade/test/end_to_end_test.py" | ||
], | ||
deps = [ | ||
requirement('grakn-kglib'), | ||
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# Grakn deps | ||
requirement('grakn'), | ||
requirement('grpcio'), | ||
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# TensorFlow deps | ||
requirement('tensorflow'), | ||
requirement('numpy'), | ||
requirement('protobuf'), | ||
requirement('six'), | ||
requirement('absl-py'), | ||
requirement('keras_applications'), | ||
requirement('keras_preprocessing'), | ||
requirement('gast'), | ||
requirement('astor'), | ||
requirement('termcolor'), | ||
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requirement('tensorflow-hub'), | ||
requirement('scikit-learn'), | ||
requirement('scipy'), | ||
] | ||
) |
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