WaitableState thingy and some stuff in the ML world.

[python_utils.git] / ml / model_trainer.py

diff --git a/ml/model_trainer.py b/ml/model_trainer.py
index f9e132e18aa20ecf2461db55257b6037a0c13a4e..f61b8e745b6cd6c02f23e258003928caba81916b 100644 (file)
--- a/ml/model_trainer.py
+++ b/ml/model_trainer.py
@@ -356,6 +356,13 @@ class TrainingBlueprint(ABC):
             import input_utils
             import string_utils
 
+            now: datetime.datetime = datetime_utils.now_pacific()
+            info = f"""Timestamp: {datetime_utils.datetime_to_string(now)}
+Model params: {params}
+Training examples: {num_examples}
+Training set score: {training_score:.2f}%
+Testing set score: {test_score:.2f}%"""
+            print(f'\n{info}\n')
             if (
                     (self.spec.persist_percentage_threshold is not None and
                      test_score > self.spec.persist_percentage_threshold)
@@ -376,12 +383,6 @@ class TrainingBlueprint(ABC):
                 print(msg)
                 logger.info(msg)
                 model_info_filename = f"{self.spec.basename}_model_info.txt"
-                now: datetime.datetime = datetime_utils.now_pacific()
-                info = f"""Timestamp: {datetime_utils.datetime_to_string(now)}
-Model params: {params}
-Training examples: {num_examples}
-Training set score: {training_score:.2f}%
-Testing set score: {test_score:.2f}%"""
                 with open(model_info_filename, "w") as f:
                     f.write(info)
                 msg = f"Wrote {model_info_filename}:"