diff --git a/.idea/workspace.xml b/.idea/workspace.xml index afcdf62..70cdbb4 100644 --- a/.idea/workspace.xml +++ b/.idea/workspace.xml @@ -48,7 +48,7 @@ - + @@ -57,7 +57,7 @@ - + @@ -79,11 +79,11 @@ - - + + - + @@ -122,8 +122,8 @@ - - + + @@ -163,12 +163,12 @@ @@ -211,7 +211,7 @@ - + @@ -252,16 +252,15 @@ - - @@ -362,8 +361,8 @@ - - + + @@ -372,11 +371,11 @@ - - + + - + diff --git a/serve.py b/serve.py index 2de00eb..f40e21f 100644 --- a/serve.py +++ b/serve.py @@ -21,7 +21,7 @@ class Config: predict_day = 1 - input_size = len(feature_columns)-1 + input_size = len(feature_columns) - 1 output_size = len(label_columns) hidden_size = 128 @@ -128,7 +128,7 @@ class Data: test_data_yqy = [] # test_data_yqy=test_data_yqy[1:21] feature_data = (test_data_yqy - self.mean) / self.std - test_x = [feature_data][:, 0:1] + test_x = [feature_data] print(test_x) return np.array(test_x) @@ -182,8 +182,8 @@ def train_models(): if train_X.shape[0] < 200: config.batch_size = 16 - print(train_X[:1, ], valid_X[:1, :], train_Y, valid_Y) - train(config, train_X[:, :1], train_Y, valid_X[:, :1], valid_Y) + print(train_X[:, :, :1], valid_X[:, :, :1], train_Y, valid_Y) + train(config, train_X[:, :, :1], train_Y, valid_X[:, :, :1], valid_Y) lock.release()