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ibis-project
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ibis-ml
IbisML is a library for building scalable ML pipelines using Ibis.
https://ibis-project.github.io/ibis-ml/
Apache License 2.0
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style(ruff): clear ruff check violations
#175
IndexSeek
opened
4 days ago
6
feat: ibis_ml.metrics
#174
IndexSeek
opened
1 week ago
0
test(benchmarks): add basic, local benchmark suite
#173
deepyaman
opened
2 months ago
0
docs(examples): use built-in train-test split code
#172
jitingxu1
closed
2 months ago
2
fix: create a unique key for actual departure date
#171
deepyaman
opened
2 months ago
0
docs: use `train_test_split` util over custom code
#170
deepyaman
closed
2 months ago
1
ci: test IbisML across Ibis versions including dev
#169
deepyaman
opened
2 months ago
0
revert: ensure publish workflow is run on tag push
#168
deepyaman
closed
2 months ago
1
build: bump IbisML version from `0.1.2` to `0.1.3`
#167
deepyaman
closed
2 months ago
1
docs: fix warnings from deprecations
#166
lostmygithubaccount
closed
2 months ago
1
ci: only run the publish workflow on pushes to main
#165
jcrist
closed
2 months ago
1
chore: fix broken readme link
#164
jcrist
closed
2 months ago
1
chore: add polars to the dev dependencies
#163
jcrist
closed
2 months ago
1
feat(core): implement a more robust `set_params()`
#162
deepyaman
closed
2 months ago
1
refactor(steps): rename class to `ExpandTimestamp`
#161
deepyaman
closed
2 months ago
1
refactor(steps): rename class to `ExpandTimestamp`
#160
deepyaman
closed
2 months ago
0
test(core): verify the creation of malformed steps
#159
deepyaman
opened
2 months ago
0
fix(steps): add unit test and fix unique col scaling
#158
jitingxu1
closed
2 months ago
3
fix(steps): add unit test and fix null cols for impute
#157
jitingxu1
closed
2 months ago
3
fix(steps): fix `min_frequency` and `max_category`
#156
jitingxu1
closed
2 months ago
2
docs(website): document custom transformer step implementation
#155
ahaan1984
closed
2 months ago
7
fix(steps): fix int column has no `isnan()` method
#154
jitingxu1
closed
2 months ago
1
feat: support conda install
#153
jitingxu1
closed
1 week ago
2
build: make NumPy, pandas, and Arrow deps optional
#152
jitingxu1
closed
2 months ago
6
No module named 'numpy' on default install
#151
lostmygithubaccount
closed
2 months ago
1
bug(recipe): transformation risks disrupting these (feature, label) pairings.
#150
jitingxu1
closed
2 months ago
1
bug: cannot convert `y` to numpy on kaggle notebook in sklearn pipeline
#149
jitingxu1
opened
2 months ago
0
bug(recipe): should we not transform the last step in recipe during recipe.fit()
#148
jitingxu1
closed
2 months ago
1
bug(step): HandleUnivariateOutliers
#147
jitingxu1
closed
2 months ago
0
bug(steps): min_frequency in one_hot_ecode does not work
#146
jitingxu1
closed
2 months ago
3
feat(core): implement `get_params()` API for steps
#145
deepyaman
closed
2 months ago
1
docs(roadmap): document possible future directions
#144
deepyaman
closed
2 months ago
1
Broken link to `Recipes` on `README.md`
#143
datajoely
closed
2 months ago
1
fix(utils): fix possible name collision in `train_test_split`
#142
jitingxu1
closed
2 months ago
1
[DISC] Having IbisML closer to sklearn
#141
gtauzin
closed
2 months ago
2
feat: add Select() step
#140
jitingxu1
opened
3 months ago
1
docs(steps): fix wrong name for timestamp selector
#139
deepyaman
closed
3 months ago
3
refactor(utils): use column names that won't exist
#138
deepyaman
closed
2 months ago
1
AttributeError: 'list' object has no attribute 'fit_table'
#137
ianmcook
closed
3 months ago
2
IbisML and GridSearchCV
#136
koaning
opened
3 months ago
8
How to use `get_params()`
#135
koaning
opened
3 months ago
16
ibis_ml has no attribute datetime
#134
koaning
closed
3 months ago
1
Quickstart seems broken
#133
koaning
opened
3 months ago
3
Update scikit-learn.qmd
#132
koaning
closed
2 months ago
1
fix(utils): remove redundant column in train_test_split()
#131
jitingxu1
closed
3 months ago
2
fix(core): make table normalization 9.2-compatible
#130
deepyaman
closed
4 months ago
3
build: bump IbisML version from `0.1.0` to `0.1.1`
#129
deepyaman
closed
4 months ago
0
docs(website): generalize name to "Data splitting"
#128
deepyaman
closed
4 months ago
1
feat(steps): link docs from scikit-learn HTML repr
#127
deepyaman
closed
4 months ago
1
docs(examples): create demos on large data volumes
#126
deepyaman
opened
4 months ago
0
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