Elephas

- Remove references to `SQLContext` as that was deprecated in Spark 3.0
- Change `lr` to `learning_rate` in all `SGD` arguments
- Pin the Tensorflow version to <=2.10, as 2.11 results in `weakref` errors in serialization (https://github.com/danielenricocahall/elephas/issues/16)
- Enhance typehints and docstrings

- Addressed bug with `MulticlassMetrics` mentioned in example (https://github.com/danielenricocahall/elephas/issues/4)

- Enable saving and loading models from network accessible Hadoop cluster (https://github.com/danielenricocahall/elephas/pull/5)

- Simplify evaluation logic (https://github.com/danielenricocahall/elephas/pull/3)
- Fix bug with metrics and handling the no metric case (https://github.com/danielenricocahall/elephas/pull/3)

First release from this fork.

- Revise `evaluation` computation (https://github.com/danielenricocahall/elephas/pull/1)
- Enable more than one metric in `evaluation` (https://github.com/danielenricocahall/elephas/pull/2)

- Dropped support for Python 2.7
- Added support for Tensorflow 2.0.x - 2.1.x
- Added/fixed capability to train with socket client/server