From d18c3674974dfa3593424418e53d167247dadf74 Mon Sep 17 00:00:00 2001 From: bxdd Date: Mon, 29 Mar 2021 20:34:36 +0800 Subject: [PATCH] update README --- examples/rolling_process_data/README.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/examples/rolling_process_data/README.md b/examples/rolling_process_data/README.md index 6a6af0d3d..b04f5ed7f 100644 --- a/examples/rolling_process_data/README.md +++ b/examples/rolling_process_data/README.md @@ -1 +1,17 @@ # Rolling Process Data + +This workflow is an example for `Rolling Process Data`. + +## Background + +When rolling train the models, data also needs to be generated in the different rolling windows. When the rolling window moves, the training data will also change, and the processor's learnable state (such as standard deviation, mean, etc.) will also be changed. + +In order to avoid regenerating data, this example uses the `DataHandler-based DataLoader` to load the raw features that are not related to the rolling window, and then used Processors to generate processed-features related to the sliding window. + + +### Run the Code + +Run the example by running the following command: +```bash + python workflow.py rolling_process +``` \ No newline at end of file