syndi.sampler

Sampler

Sampler(task_instance, train_data, generator)
Sampler.sample_data()
Sampler._store_data(synthetic_data)
Sampler._sample_original()
Sampler._sample_uniform()
Sampler._get_class_to_sample_size(data)
Sampler._sample_uniform_classification()
Sampler._sample_in_interval(sample_size, …)
Sampler._sample_uniform_regression()	Convert self.train_data[self.task.target] continuous column into a discrete binned distribution from max to min value of the continuous columns then run retry sampling (sample a bunch of elements and only select ones in interval) to balance the target column using synthetic data.
Sampler._sample_baseline()

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