Update README.md

README.md

@@ -35,21 +35,17 @@ There are two tutorial notebooks:
    If you want to create a model based on your own manually curated.
 
 
-   ``` python
-   from spikeinterface.curation.train_manual_curation import train_model
-
-    trainer = train_model(mode = "analyzers",
-    labels = labels,
-    analyzers = [labelled_analyzer, labelled_analyzer],
-    output_folder = str(output_folder), 
-    imputation_strategies = None, 
-    scaling_techniques = None,
-    classifiers = None, # Default to Random Forest only. Other classifiers you can try [ "AdaBoostClassifier","GradientBoostingClassifier",
-                                                                # "LogisticRegression","MLPClassifier"]
-    )
-
-    best_model = trainer.best_pipeline
-    best_model]
-    )
+    ``` python
+     from spikeinterface.curation.train_manual_curation import train_model
+  
+      trainer = train_model(mode = "analyzers",
+      labels = labels,
+      analyzers = [labelled_analyzer, labelled_analyzer],
+      output_folder = str(output_folder), 
+      imputation_strategies = None, 
+      scaling_techniques = None,
+      classifiers = None, # Default to Random Forest only. Other classifiers you can try [ "AdaBoostClassifier","GradientBoostingClassifier",
+                                                                  # "LogisticRegression","MLPClassifier"]
+      )
     ```