Comments (2)
cc @marianotepper who may done some related work on this
from dask-ml.
Some relevant discussion in issue ( scisprints/2018_05_sklearn_skimage_dask#7 ).
Also cc-ing @valentina-s.
from dask-ml.
Related Issues (20)
- sklearn handles text labels differently than ml_dask on OneHotEncoding
- Implementation for make_s_curve HOT 2
- Import dask_ml with python 3.10 failed due to conflict with dask.distributed HOT 4
- Python 3.11 support HOT 2
- LogisticRegression.score returns an empty dask array
- Incremental does not handle dask arrays of ndim>2 in estimator training HOT 2
- loading dask_ml gives error contextualversionconflict with sklearn HOT 4
- For a single record data frame train_test_split() sometimes assigns this single record to test set. HOT 2
- The `log_loss`-function crashes when using mixed types
- Area under the receiving operating characteristic curve (AUROC) calculation. HOT 2
- The latest version doesn't support perceptron model
- sklearn StandardScaler vs dask StandardScaler. HOT 1
- Nearest Neighbors
- `TypeError` when predicting non-array data with `dask-expr` HOT 6
- Undeclared runtime dependency on setuptools HOT 1
- Documentation on PCA expected max memory usage HOT 1
- Support GPU-backed data for metrics.
- Unexpected behavior in train_test_split with shuffle=False
- ColumnTransformer does not work with Dask dataframes HOT 1
- Add versions after 2023.3.24 to the Anaconda main channel HOT 3
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