From 07083f5d534a87db3a6e0fc979965a4546970a8e Mon Sep 17 00:00:00 2001 From: shir22 Date: Sun, 19 Mar 2023 22:44:44 +0200 Subject: [PATCH 1/2] Improve model inference time --- dc_get_assets.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dc_get_assets.py b/dc_get_assets.py index fd6daff..4414990 100644 --- a/dc_get_assets.py +++ b/dc_get_assets.py @@ -57,7 +57,7 @@ def get_test_dataset(): test_data = pd.read_csv(TEST_FILE) # demonstrating that for for optimization, numpy was used for processing in pipeline, # and then inserted back to DataFrame - # test_data[dataset_metadata['label']] = np.array(test_data[dataset_metadata['label']].sample(frac=1)) + test_data[dataset_metadata['label']] = np.array(test_data[dataset_metadata['label']].sample(frac=1)) test_dataset = dct.Dataset(test_data, **dataset_metadata) return test_dataset From 2855400ed381bdc9ff94ebc6bbf50fc2c7118d35 Mon Sep 17 00:00:00 2001 From: shir22 Date: Sun, 19 Mar 2023 22:47:46 +0200 Subject: [PATCH 2/2] fix numpy label scrambling --- dc_get_assets.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dc_get_assets.py b/dc_get_assets.py index 4414990..fd6daff 100644 --- a/dc_get_assets.py +++ b/dc_get_assets.py @@ -57,7 +57,7 @@ def get_test_dataset(): test_data = pd.read_csv(TEST_FILE) # demonstrating that for for optimization, numpy was used for processing in pipeline, # and then inserted back to DataFrame - test_data[dataset_metadata['label']] = np.array(test_data[dataset_metadata['label']].sample(frac=1)) + # test_data[dataset_metadata['label']] = np.array(test_data[dataset_metadata['label']].sample(frac=1)) test_dataset = dct.Dataset(test_data, **dataset_metadata) return test_dataset