mars
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Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
## What do these changes do? Remove skip_ray_dag mark for raydataset tests to check if there are any problems during CI. ## Related issue number Fixes #xxxx ## Check code...
## What do these changes do? Enables CI of mars/learn for Ray DAG. - Fix Ray executor failed to run learn shuffle. - Fix Ray executor shuffle colouring bug. -...
**Describe the bug** A clear and concise description of what the bug is. ```python mars/learn/tests/test_wrappers.py:25 (test_parallel_post_fit_basic) setup = def test_parallel_post_fit_basic(setup): raw_x, raw_y = make_classification(n_samples=1000) X, y = mt.tensor(raw_x, chunk_size=100), mt.tensor(raw_y,...
**Describe the bug** A clear and concise description of what the bug is. ```python ________________ test_bagging_classifier[True-10-1.0-True-SVC] _________________ setup = use_dataframe = True, max_samples = 10, max_features = 1.0, with_weights =...
**Describe the bug** A clear and concise description of what the bug is. There are many cases fail to run in Ray DAG executor. After digging into the problem, I...
**Describe the bug** A clear and concise description of what the bug is. ```python _____________________ test_predict_sparse_callable_kernel ______________________ setup = def test_predict_sparse_callable_kernel(setup): # This is a non-regression test for #15866 #...
**Describe the bug** A clear and concise description of what the bug is. ```python __________________________ test_label_encoder[int64] ___________________________ setup = values = array([2, 1, 3, 1, 3]), classes = array([1, 2,...
## What do these changes do? Fix compatibility of Pandas 1.5.0. ## Related issue number Fixes #xxxx ## Check code requirements - [ ] tests added / passed (if needed)...
**Describe the bug** A clear and concise description of what the bug is. ```python mars/learn/tests/test_wrappers.py:25 (test_parallel_post_fit_basic) setup = def test_parallel_post_fit_basic(setup): raw_x, raw_y = make_classification(n_samples=1000) X, y = mt.tensor(raw_x, chunk_size=100), mt.tensor(raw_y,...
## What do these changes do? 1. Optimize the display of task process bar With the optimization of task process bar, it will print as follows when running the codes:...
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Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.