Gretel-synthetics

Enable "Smart Seeding" which allows a prefix to be provided during line generation. The generator will complete the line based on the provided seed. When training on structured data (DataFrames) this enables the first N column values to be pre-provided and then remaining columns will be generated based on the initial values.

- Introduce Keras Early Stopping and Save Best Model features. Set default number of epochs to 100 which should allow most training sequences to automatically stop without potential over-fitting.

- Provide better tracking of which epoch's model was used as the best one in the model history table

- Temporarily disable DP mode

🏃 🏃‍♀️ Speedups! Utilized TensorFlow functions and batch predictions for massive speedups in text generation!

- Included SentencePiece support for tokenizing large datasets. By default, if a dataset is larger than 100,000 lines, we will utilize a sample of 100k to build the tokenizer.

- Switched to a `loky` based backend for multi-processing. This fixes several run-time bugs on Windows platforms and increases general stability for consistent multi-processing text generation.

⏩ ⏩ Multi-Processing, now with more Multi! This release has some updates and bugfixes around multi-processing that makes it faster and more efficient with use of CPUs.

Updates:

* Updated pandas and numpy libraries to automatically select latest minor version and bug fix.
* Better compatibility with notebook environments with pre-installed runtimes such as Google Colaboratory.