Features from the 2nd phase of papers reviews#20
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Return the synthesized data in the Gaussian multivariate Synthesizer; Pass the target column values in the generator Condition (other than True/False) in high_level; Pass the id column to the generator and evaluator in high_level; Add a ModelFitter in metric_evaluator.py; Add a user defined results checkpoint_path in metric_evaluator.py; Pass want_parallel and a results_checkpoint_path for the metric evaluator in metrics.py; Pass a save_path for the model and checkpoints to tabdiff.py; WIP.
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Split train/test data only if they aren't already;
Return the synthesized data in the Gaussian multivariate Synthesizer;
Pass the target column values in the generator Condition (other than True/False) in high_level;
Pass the id column to the generator and evaluator in high_level; Add a ModelFitter in metric_evaluator.py;
Add a user defined results checkpoint_path in metric_evaluator.py;
Pass want_parallel and a results_checkpoint_path for the metric evaluator in metrics.py;
Pass a save_path for the model and checkpoints to tabdiff.py;
Change ID generation to provide unique values;
WIP.