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Will take a look shortly. I love the performance numbers! 10x speedup for text is 🔥 @freddyaboulton is it possible to add data points to that graph? Helpful to see how many samples were taken heh.
Currently this only supports pipelines where each feature is created from at most one other feature.
That seems like a reasonable limitation for the immediate future. We'll need to revisit this at some point, yes? Transformers which create columns today: OHE, target encoder, datetime, text, timeseries delayed features, and soon seasonality. We currently have LDA/PCA transformers defined but aren't using them in automl--adding those would definitely violate this limitation.
@dsherry Agreed on enhancing this implementation to support for more transformers! When we get there, we also need to consider pipelines with multiple estimators. The estimators act like transformers in that case - they ingest many columns and output many columns.
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