From 70fc067757f40de79c54051ede8c9a913c3e03e8 Mon Sep 17 00:00:00 2001 From: euisuk-chung Date: Tue, 7 Dec 2021 00:56:40 +0000 Subject: [PATCH] update readme --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 8114722..a344739 100644 --- a/README.md +++ b/README.md @@ -52,7 +52,7 @@ However, the generation method for each model are different! See below for more ### TimeGAN TimeGAN has 2 Modes, which is used to decide whether to train or generate : 1. is_train (default = True) : train model with loaded train data (window_size=30, stride=1) -2. is_generate (default = True) : generate multiple(num_generation) sequences of window_size(30) +2. is_generate (default = True) : generate multiple(num_generation) sequences of window (window_size=30) ``` # Mode 1 : Train mode @@ -67,8 +67,8 @@ TimeGAN has 2 Modes, which is used to decide whether to train or generate : ### Variational Recurrent AutoEncoder (VRAE) VRAE has 3 Modes, which is used to decide whether to train or generate(train) or generate(test) : 1. is_train (default = True) : train model with loaded train data (window_size=30, stride=1) -2. is_generate_train (default = True) : generate train dataset loaded sequentially(window_size=stride) -3. is_generate_test (default = True) : generate test dataset loaded sequentially(window_size=stride) +2. is_generate_train (default = True) : generate train dataset loaded sequentially (window_size=stride) +3. is_generate_test (default = True) : generate test dataset loaded sequentially (window_size=stride) ``` # Mode 1 : Train mode