Add align, standardscaler, and umap post-processes
Add 3 post-processes:
-
align
: aligns a time series by a mask (e.g. births); takes two DataFrames as input (the signal itself and a mask), so it's inmultisignal
. This addresses issue #11 (closed). -
standardscaler
: wrapper forscikit-learn
's standard scaler; scales a signal DataFrame. -
umapembedding
: wrapper forumap.UMAP
; takes a DataFrame as an input (signal or feature vectors) and transforms it into an array of UMAP embeddings, according to some hyperparameters.