From 2be13d9212ece27b1af08d1b6d136fb31ee5d720 Mon Sep 17 00:00:00 2001 From: Nassim Oufattole Date: Wed, 3 Jul 2024 04:51:26 +0000 Subject: [PATCH] fixed figure bug in README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 086fc04..dadc3a7 100644 --- a/README.md +++ b/README.md @@ -255,7 +255,7 @@ Static data is relatively small in the medical datasets, so we use a dense pivot The script for tabularizing time series data primarily transforms a raw, unstructured dataset into a structured, feature-rich dataset by utilizing a series of sophisticated data processing steps. This transformation (as depicted in the figure below) involves converting raw time series from a Polars dataframe into a sparse matrix format, aggregating events that occur at the same date for the same patient, and then applying rolling window aggregations to extract temporal features. -![Time Series Tabularization Method](../assets/pivot.png) +![Time Series Tabularization Method](docs/assets/pivot.png) ### High-Level Tabularization Algorithm