v0.2.0b1

This is the release notes of v0.2.0b1. See here for the complete list of solved issues and merged PRs.

Changes that break compatibility

• Serialization of chunks have been changed according to #412.

Highlights

• Distributed DataFrames are supported.

New Features

• Support concatenating DataFrame chunks into one (#396)
• Add support for distributed DataFrame (#399)

Enhancements

• Allow renaming allocation keys in QuotaActor (#336)
• Support **kwargs in new_session (#368)
• Enhance tile for DataFrame's add (#365)
• Provide a unified API to create tileable objects including tensor and DataFrame (#379)
• Support non-square matrix for lu decomposition (#383)
• Unify actor distributors for workers and schedulers (#386)
• Refactor operands and integrate the directory of operands into tensor (#393)
• Add FuseChunkData and FuseChunk to represent fused chunk (#412)
• Remove central ChunkMetaActor in schedulers (#421)
• Use Enum instead of numbers to specify compression types (#424)
• Support creating tensor from list of tensors (#426)

Bug fixes

• Add size estimator for sparse randint (#356)
• Pass an acceptable compression list when fetching results from server (#359)
• Adjust memory estimation for TensorDot (#375)
• Fix defunct hard_limit in worker (#378)
• Fix nsplits of tensors generated in the tile of QR decomposition (#387)
• Fix stuck web interface when tiling a graph (#390)
• Fix defunct compose option in web session (#395)
• Fix serialization of DataFrame's index_value or columns_value if its type is int64 (#401)
• Fix bug that min_val of index_value or columns could be nan for chunks of DataFrame (#405)
• Fix executing DataFrame with Fetch operand (#407)
• Check reference type in serialization (#414)
• Support execute dataframe with compose in both local and distributed mode (#410)