mrocklin / dask / 2668

Builds Branch Commit Type Ran Committer Via Coverage
2668 repeat-optimize-blockwise fixup push mrocklin travis-ci pending completion   set done
2662 dataframe-groupby-accel Avoid groupby.agg(callable) in groupby-var This has two benefits 1. It's much faster the following benchmark shows a 5x improvement 2. It doesn't require the pandas-like container to implement groupby.agg(callable), which helps cudf Bench... push mrocklin travis-ci pending completion   set done
2660 cudf-concat flake8 push mrocklin travis-ci pending completion   set done
2658 cudf-concat Update cudf concat implementation push mrocklin travis-ci pending completion   set done
2654 test-ci replace WINDOWS with explicit check push mrocklin travis-ci pending completion   set done
2653 test-ci Skip failing windows tests push mrocklin travis-ci pending completion   set done
2652 delayed-attr Fix DelayedAttr return value Previously we were missing a return statement push mrocklin travis-ci pending completion   set done
2651 test-ci Trivial change to test CI push mrocklin travis-ci pending completion   set done
2650 is-dataframe-type add more explicit test push mrocklin travis-ci pending completion   set done
2649 is-dataframe-type Avoid checking against types in is_dataframe_like push mrocklin travis-ci pending completion   set done
2648 more-register-cudf Merge branch 'master' into more-register-cudf push mrocklin travis-ci pending completion   set done
2646 more-register-cudf Add explicit backends.py files in dask.array/dataframe This collects lazily registered functions for cupy, sparse, scipy, and cudf. push mrocklin travis-ci pending completion   set done
2645 more-register-cudf Add more cudf lazy registrations push mrocklin travis-ci pending completion   set done
2644 has-parallel-type Add has_parallel_type This is a bit nicer than `isinstance(obj, parallel_types())` because it works also with lazily registered types. push mrocklin travis-ci pending completion   set done
2643 is-dataframe-like Replace isinstance(..., pandas) with is_dataframe_like This helps to provide support to non-Pandas objects that are still Pandas-like enough to work with some Dask DataFrame's algorithms. push mrocklin travis-ci pending completion   set done