Comments (4)
amueller
commented on May 28, 2024
1
Ok, I think I was just looking at the old blog posts / getting confused about which blog posts to look at ;)
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jcrist
commented on May 28, 2024
There no longer is a "dask pipeline" - only the *SearchCV classes. If you look at the examples in this blogpost all of them just use the scikit-learn Pipeline classes. I'll add an example to the docs though.
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amueller
commented on May 28, 2024
Hmm in the blog post I thing you left both imports in, and it still used
the old module name, I think.
Sent from phone. Please excuse spelling and brevity.
…On May 17, 2017 19:07, "Jim Crist" ***@***.***> wrote:
There no longer is a "dask pipeline" - only the *SearchCV classes. If you
look at the examples in this blogpost
<https://jcrist.github.io/introducing-dask-searchcv.html> all of them
just use the scikit-learn Pipeline classes. I'll add an example to the
docs though.
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jcrist
commented on May 28, 2024
The blogpost I linked just uses the scikit-learn Pipeline and the new module name. The blogposts from last summer are quite outdated - the library has since been renamed from dask-learn to dask-searchcv, and the public interface simplified to just GridSearchCV and RandomizedSearchCV.
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Related Issues (20)
- Efficiency for GridSearchCV on large graphs HOT 46
- re Custom Sklearn Transforms with Dask Apply inside HOT 4
- Asynchronous algorithms and "Good enough" RandomSearchCV HOT 7
- Memory Error when number of worker increase in daskgridsearch HOT 13
- pip installable HOT 4
- Maybe add verbose parameter to "RandomizedSearchCV" ? HOT 9
- Wish: support multiple metric scoring as in scikit-learn 0.19
- Compatibility with scikit-learn 0.19 HOT 6
- TypeError: can't pickle NotImplementedType objects on sklearn.metrics.make_scorer and FeatureUnion HOT 8
- Failure on model pipeline that succeeds using stock scikit-learn HOT 7
- bayesian optimization for hyperparameter tuning HOT 1
- COMPAT: /Users/taugspurger/Envs/dask-dev/lib/python3.6/site-packages/scikit-learn/sklearn/base.py:114: DeprecationWarning: Estimator Pipeline modifies parameters in __init__. HOT 1
- AttributeError: 'unicode' object has no attribute 'version' - LooseVersion with Py 2.7 HOT 6
- Incompatibility With Keras Scikit-Learn Wrapper HOT 6
- Multi-threading or -processing doesn't work for simple sklearn Pipeline HOT 12
- Fold dask-searchcv into Dask-ML HOT 11
- BaseSearchCV throws IndexError for particular sized optional arguments to BaseSearchCV.fit HOT 2
- Implement partial_fit support in DaskBaseSearchCV HOT 2
- dask-searchcv incompatible with Dask v0.18 HOT 7
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