diff --git a/.idea/workspace.xml b/.idea/workspace.xml index eb6c4bd..a9d6f8c 100644 --- a/.idea/workspace.xml +++ b/.idea/workspace.xml @@ -48,7 +48,7 @@ - + @@ -57,7 +57,7 @@ - + @@ -92,8 +92,8 @@ - - + + @@ -226,7 +226,7 @@ - + @@ -267,12 +267,12 @@ - @@ -397,8 +397,8 @@ - - + + diff --git a/train.py b/train.py index b87163a..1ab36ce 100644 --- a/train.py +++ b/train.py @@ -104,7 +104,7 @@ def experiment(repeats, series, seed): t2 = test.shape[0] % batch_size train_trimmed = train_scaled[train_scaled.shape[0] - t1 * batch_size:, :] - lstm_model = fit_lstm(train_trimmed, batch_size, 50, 4) + lstm_model = fit_lstm(train_trimmed, batch_size, 300, 4) # forecast the entire training dataset to build up state for forecasting print(train_trimmed) print(train_trimmed[:, 0])