From e842e3d3c588f9a83e779eba9569ea4a34cd3d90 Mon Sep 17 00:00:00 2001
From: Schneider Leo <leo.schneider@etu.ec-lyon.fr>
Date: Tue, 11 Feb 2025 10:20:08 +0100
Subject: [PATCH] dataset pred for diann

---
 diann_lib_processing.py | 38 +++++++++++++++++++-------------------
 1 file changed, 19 insertions(+), 19 deletions(-)

diff --git a/diann_lib_processing.py b/diann_lib_processing.py
index 2327728..e876c76 100644
--- a/diann_lib_processing.py
+++ b/diann_lib_processing.py
@@ -54,22 +54,22 @@ def predict(data_pred, model, output_path):
 
 
 if __name__ =='__main__':
-    df = load_lib('data/spectral_lib/first_lib.parquet')
-    df_2 = extract_sequence(df).reset_index(drop=True)
-    df_2.to_csv('data/spectral_lib/data_uniprot_base.csv', index=False)
-
-
-
-    # args = load_args()
-    #
-    # model = ModelTransformer(encoder_ff=args.encoder_ff, decoder_rt_ff=args.decoder_rt_ff,
-    #                          n_head=args.n_head, encoder_num_layer=args.encoder_num_layer,
-    #                          decoder_rt_num_layer=args.decoder_rt_num_layer, drop_rate=args.drop_rate,
-    #                          embedding_dim=args.embedding_dim, acti=args.activation, norm=args.norm_first)
-    #
-    # model.load_state_dict(torch.load(args.model_weigh, weights_only=True))
-    #
-    # data_test = load_data(data_source=args.dataset_test, batch_size=args.batch_size, length=30, mode=args.split_test,
-    #                       seq_col=args.seq_test)
-    #
-    # predict(data_test, model, args.output)
\ No newline at end of file
+    # df = load_lib('data/spectral_lib/first_lib.parquet')
+    # df_2 = extract_sequence(df).reset_index(drop=True)
+    # df_2.to_csv('data/spectral_lib/data_uniprot_base.csv', index=False)
+
+
+
+    args = load_args()
+
+    model = ModelTransformer(encoder_ff=args.encoder_ff, decoder_rt_ff=args.decoder_rt_ff,
+                             n_head=args.n_head, encoder_num_layer=args.encoder_num_layer,
+                             decoder_rt_num_layer=args.decoder_rt_num_layer, drop_rate=args.drop_rate,
+                             embedding_dim=args.embedding_dim, acti=args.activation, norm=args.norm_first)
+
+    model.load_state_dict(torch.load(args.model_weigh, weights_only=True))
+
+    data_test = load_data(data_source=args.dataset_test, batch_size=args.batch_size, length=30, mode=args.split_test,
+                          seq_col=args.seq_test)
+
+    predict(data_test, model, args.output)
\ No newline at end of file
-- 
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