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- California, United States
- https://aazuspan.dev
- https://orcid.org/0000-0003-1583-3710
- @aazuspan.dev
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lemma-osu/sklearn-raster
lemma-osu/sklearn-raster PublicSpatial raster prediction with scikit-learn estimators
Python
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lemma-osu/sknnr
lemma-osu/sknnr Publicscikit-learn compatible estimators for various kNN imputation methods
Python 1
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524 contributions in the last year
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Activity overview
Contributed to
aazuspan/spinasm-lsp,
aazuspan/blog,
lemma-osu/sklearn-raster
and 27 other
repositories
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Contribution activity
April 2025
Created 12 commits in 2 repositories
Created a pull request in lemma-osu/sklearn-raster that received 9 comments
Implement predict_proba
Closes #47 by implementing the predict_proba
method for wrapped classifiers. This is modified from predict
(parameters and docstring are almost ide…
+168
−9
lines changed
•
9
comments
Opened 2 other pull requests in 1 repository
lemma-osu/sklearn-raster
2
merged
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Expand errors when
nodata_output
doesn't fit in the array dtypeThis contribution was made on Apr 7 -
Update API and docstrings to clarify support for n-dimensional features
This contribution was made on Apr 1
Reviewed 5 pull requests in 2 repositories
lemma-osu/sklearn-raster
3 pull requests
-
Implement
predict_proba
This contribution was made on Apr 10 -
Expand errors when
nodata_output
doesn't fit in the array dtypeThis contribution was made on Apr 8 -
Update API and docstrings to clarify support for n-dimensional features
This contribution was made on Apr 4
lemma-osu/sknnr
2 pull requests
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Change default value for max_features to match scikit-learn
This contribution was made on Apr 15
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Add pytest-regressions to replace port tests
This contribution was made on Apr 15
Created an issue in lemma-osu/sklearn-raster that received 2 comments
Improve support for categorical classification
Currently, predicting a categorical target will return an object
array with string category labels. For example:
from sklearn.ensemble import Rando…
2
comments