HybridBackend v0.5.2

Objectives:

• Memory-efficient loading of categorical data
• Easy to use with existing AI workflows

Features:

1. Parquet Dataset
   - Reading batch of tensors from numeric fields in zero-copy way
   - Reading batch of sparse tensors from numeric list fields in zero-copy way
   - Support of string fields
   - Support of local filesystem, HDFS, S3 and OSS

2. Data Pipeline Functions
   - Resizing batch of tensors and ragged tensors
   - Converting ragged tensors to sparse tensors
   - Objective: "Easy to use with existing AI workflows"

3. Compatibility
   - Support of TensorFlow 1.15 and Tensorflow 1.14
   - GitHub actions for uploading wheels to PyPI

Bug Fixes:

• [#11][#12][#13] Supports manylinux_2_24 platform.