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Add support for neighbours in loss computation in LearnerND #185
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basnijholt
merged 14 commits into
python-adaptive:master
from
jhoofwijk:120--learnernd-curvature
May 6, 2019
Merged
Add support for neighbours in loss computation in LearnerND #185
basnijholt
merged 14 commits into
python-adaptive:master
from
jhoofwijk:120--learnernd-curvature
May 6, 2019
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This looks great @JornHoofwijk, I'll soon go over your new changes! 😄 |
basnijholt
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May 6, 2019
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All looks great!
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basnijholt
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May 6, 2019
* add support for neighbours in loss computation in LearnerND * make loss function only accept one single exploration factor * redefine the call signature of the curvature loss function * make learnerND curvature loss work without errors * add function to triangulation to find opposing vertices * add some more tests for get_opposing_vertices * make use of the new api * fix spaces (after comma and indentation) * remove unused import * remove comment * add exception if too many neighbors * remove trailing whitespace
basnijholt
pushed a commit
that referenced
this pull request
May 8, 2019
* add support for neighbours in loss computation in LearnerND * make loss function only accept one single exploration factor * redefine the call signature of the curvature loss function * make learnerND curvature loss work without errors * add function to triangulation to find opposing vertices * add some more tests for get_opposing_vertices * make use of the new api * fix spaces (after comma and indentation) * remove unused import * remove comment * add exception if too many neighbors * remove trailing whitespace
basnijholt
pushed a commit
that referenced
this pull request
Jul 10, 2019
* add support for neighbours in loss computation in LearnerND * make loss function only accept one single exploration factor * redefine the call signature of the curvature loss function * make learnerND curvature loss work without errors * add function to triangulation to find opposing vertices * add some more tests for get_opposing_vertices * make use of the new api * fix spaces (after comma and indentation) * remove unused import * remove comment * add exception if too many neighbors * remove trailing whitespace
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This PR will make the LearnerND get the option to add more points in highly curved areas (similar to the Learner1D)
It also moves the
uses_nth_neighbor
function from thelearner1D
to thebase_learner
to avoid circular imports