Beta 0.2.0

New features:

• Bugfixes!
• New mlcrate.ensemble submodule, containing rank_average(), which lets you ensemble sets of predictions from multiple models based on their ranking order
• New PyTorch submodule, which contains tonp() and totensor() for easy conversion between Tensor and NumPy types, as well as a one line MLP model constructor.
• Apache feather support in mlc.save() and mlc.load(), allowing for extremely fast save/load of dataframes.
• Some other minor (backwards compatible) improvements throughout

Beta v0.1.0

Now on PyPi! https://pypi.python.org/pypi/mlcrate

From this point on, any future updates should be backwards-compatible (and not API-breaking), although I can't make any guarantees.