2023-24 updates

Models/NN_Models/Trained-Model-ML-1699315388.285516/fingerprint.pb

@@ -0,0 +1 @@
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Models/NN_Models/Trained-Model-ML-1699315388.285516/keras_metadata.pb

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{"class_name": "Mean", "name": "loss", "dtype": "float32", "config": {"name": "loss", "dtype": "float32"}, "shared_object_id": 21}2

+�
jroot.keras_api.metrics.1"_tf_keras_metric*�
{"class_name": "MeanMetricWrapper", "name": "accuracy", "dtype": "float32", "config": {"name": "accuracy", "dtype": "float32", "fn": "sparse_categorical_accuracy"}, "shared_object_id": 15}2

Models/NN_Models/Trained-Model-OU-1699315414.2268295/fingerprint.pb

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+���٢�۶2�ʸ��鎰oàʜ݁��, ��и���(���匣�
2

Models/NN_Models/Trained-Model-OU-1699315414.2268295/keras_metadata.pb

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+�
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+�
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{"class_name": "Mean", "name": "loss", "dtype": "float32", "config": {"name": "loss", "dtype": "float32"}, "shared_object_id": 13}2

+�
Jroot.keras_api.metrics.1"_tf_keras_metric*�
{"class_name": "MeanMetricWrapper", "name": "accuracy", "dtype": "float32", "config": {"name": "accuracy", "dtype": "float32", "fn": "sparse_categorical_accuracy"}, "shared_object_id": 9}2

README.md

@@ -45,7 +45,7 @@ flask --debug run
 
 ## Getting new data and training models
 ```
-# Create dataset with the latest data for 2022-23 season
+# Create dataset with the latest data for 2023-24 season
 cd src/Process-Data
 python -m Get_Data
 python -m Get_Odds_Data

requirements.txt

@@ -2,8 +2,8 @@ colorama==0.4.6
 pandas==2.1.1
 sbrscrape==0.0.9
 tensorflow==2.14.0
-tensorflow-metal==1.1.0
+#tensorflow-metal==1.1.0
 xgboost==2.0.0
 tqdm==4.66.1
 flask==3.0.0
-scikit-learn==1.3.1
+scikit-learn==1.3.1

src/Predict/NN_Runner.py

@@ -9,8 +9,8 @@
 from src.Utils import Kelly_Criterion as kc
 
 init()
-model = load_model('Models/NN_Models/Trained-Model-ML-1680133120.689445')
-ou_model = load_model("Models/NN_Models/Trained-Model-OU-1680133008.6887271")
+model = load_model('Models/NN_Models/Trained-Model-ML-1699315388.285516')
+ou_model = load_model("Models/NN_Models/Trained-Model-OU-1699315414.2268295")
 
 
 def nn_runner(data, todays_games_uo, frame_ml, games, home_team_odds, away_team_odds, kelly_criterion):