Trying something else?

Author: Ubuntu

nucleus/model.py

@@ -13,14 +13,24 @@
 
 Note that you can always add more predictions to a dataset, but then you will need to re-run the calculation of metrics in order to have them be correct.
 
-JUST CHECKING IF THIS RENDERS3???
-
-text text ::
-
-    code code
-    code code
-
-more text
+JUST CHECKING IF THIS RENDERS2???
+
+::
+    import nucleus
+    client = nucleus.NucleusClient("YOUR_SCALE_API_KEY")
+    prediction_1 = nucleus.BoxPrediction(label="label", x=0, y=0, width=10, height=10, reference_id="1", confidence=0.9, class_pdf={'label': 0.9, 'other_label': 0.1})
+    prediction_2 = nucleus.BoxPrediction(label="label", x=0, y=0, width=10, height=10, reference_id="2", confidence=0.2, class_pdf={'label': 0.2, 'other_label': 0.8})
+    model = client.add_model(name="My Model", reference_id="My-CNN", metadata={"timestamp": "121012401"})
+    # For small ingestions, we recommend synchronous ingestion
+    response = dataset.upload_predictions(model, [prediction_1, prediction_2])
+    # For large ingestions, we recommend asynchronous ingestion
+    job = dataset.upload_predictions([prediction_1, prediction_2], asynchronous=True)
+    # Check current status
+    job.status()
+    # Sleep until ingestion is done
+    job.sleep_until_complete()
+    # Check errors
+    job.errors()
 
 """
 from typing import List, Optional, Dict, Union