EwoutH
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EwoutH
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Pinned
650 contributions in the last year
Activity overview
Contributed to
EwoutH/EPA1352-Adv-Simulation,
projectmesa/mesa,
EwoutH/Helsinki-flood-BEP-project
and 123 other
repositories
Contribution activity
May 2022
Created 21 commits in 5 repositories
Created 6 repositories
- EwoutH/Platypus Python
- EwoutH/poetry Python
- EwoutH/scipy Python
- EwoutH/conda Python
- EwoutH/statsmodels Python
- EwoutH/polars Rust
Created a pull request in projectmesa/mesa that received 13 comments
Improve code quality with static analysis
I ran some static analysis over the codebase (using https://deepsource.io/) to improve the code quality. It mainly removes some unnecessary complex…
+18
−22
•
13
comments
Opened 30 other pull requests in 10 repositories
quaquel/EMAworkbench
1
closed
13
merged
- Resolve depreciations in Numpy 1.20 and ipyparallel 7
- Docs: Replace all http links with secure https URLs
- CI: Split off flake8 linting in seperate job
- Release CI: Only upload packages if on main repo
- CI: Use Pytest instead of Nose, update default build to Python 3.10
-
feature_scoring.py: Change
max_featuresin get_rf_feature_scores to"sqrt" - feature_scoring: fix Regressor criterion depreciation
- analysis: Allow optional annotation of plot_tradeoff graphs
- Docs: Installation.rst: Add how to install master or custom branch
- prim.py: Make PrimBox.peeling_trajectory["id"] int instead of float
- Improve code quality with static analysis
- cart.py: docs: Mention that cart.show_tree() needs graphviz with conda on Windows
- CI: Test on Windows and macOS, Python versions, caching, maintenance
- installation.rst: Add pip and conda commands, more hyperlinks
mwaskom/seaborn
1
closed
4
merged
cython/cython
1
open
2
merged
Project-Platypus/Platypus
2
open
projectmesa/mesa
1
merged
scipy/scipy
1
open
conda/conda
1
open
statsmodels/statsmodels
1
open
EwoutH/seaborn
1
closed
pola-rs/polars
1
merged
Reviewed 3 pull requests in 3 repositories
quaquel/EMAworkbench
1 pull request
cython/cython
1 pull request
numpy/numpy
1 pull request
Created an issue in quaquel/EMAworkbench that received 3 comments
Install dependencies based on core, dev, doc or test use case
Currently everything in requirements.txt is always installed no matter the use case. For essential usage (core) a lot less dependencies are needed …
3
comments
Opened 9 other issues in 4 repositories
quaquel/EMAworkbench
2
closed
3
open
- Migrate away from Nose testing (to Pytest or other)
-
max_features="auto"depreciated in RandomForestClassifier used in feature_scoring.py - Pandas append() method depreciated, replace all occurrences with concat()
- [Feature] Support inputting multiple points (in a list) with PrimBox.inspect()
- Consider using Scipy stats.qmc module for Quasi-Monte Carlo samplers