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merging to change repository base

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Lucas Oskorep
2022-06-07 19:33:40 -04:00
parent 01703639ac
commit f70690efa8
5 changed files with 5 additions and 4 deletions
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4_train_keras_model.py
+1 -1
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@@ -130,7 +130,7 @@ if __name__ == "__main__":
pre_trained=True, pre_trained=True,
freeze_layers=True, freeze_layers=True,
freeze_batch_norm=True, freeze_batch_norm=True,
base_model_type=ImageClassModels.EFFICIENTNET_V2B0, base_model_type=ImageClassModels.EFFICIENTNET_V2S,
dense_layer_neurons=1024, dense_layer_neurons=1024,
dropout_rate=.5, dropout_rate=.5,
) )
5_test_models.py
-2
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@@ -34,9 +34,7 @@ single_gen = ImageDataGenerator().flow_from_directory(
for file in glob("./models/keras/*.hdf5"): for file in glob("./models/keras/*.hdf5"):
print(file) print(file)
print(metrics_df["model"])
if file in metrics_df.values: if file in metrics_df.values:
continue continue
model = load_model(file) model = load_model(file)
all_model_output.csv
+2
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@@ -1,3 +1,5 @@
model,test_acc,test_loss,single_acc,single_loss model,test_acc,test_loss,single_acc,single_loss
./models/keras\pt-fl-fbn-efficientnet_v2b0-d1024-do0.5-l11.e-04-l21.e-04-5224-second_stage.hdf5,0.6720150708068079,1.7423864365349095,0.9893048128342246,0.4364729183409372 ./models/keras\pt-fl-fbn-efficientnet_v2b0-d1024-do0.5-l11.e-04-l21.e-04-5224-second_stage.hdf5,0.6720150708068079,1.7423864365349095,0.9893048128342246,0.4364729183409372
./models/keras\pt-fl-fbn-efficientnet_v2b0-d1024-do0.5-l11.e-04-l21.e-04-5224.hdf5,0.410029881772119,3.346152696366266,0.986096256684492,0.3234976000776315 ./models/keras\pt-fl-fbn-efficientnet_v2b0-d1024-do0.5-l11.e-04-l21.e-04-5224.hdf5,0.410029881772119,3.346152696366266,0.986096256684492,0.3234976000776315
./models/keras\pt-fl-fbn-efficientnet_v2s-d1024-do0.5-l11.e-04-l21.e-04-8105-second_stage.hdf5,0.6850721060153306,1.675868156533777,0.9967914438502674,0.3373779159304851
./models/keras\pt-fl-fbn-efficientnet_v2s-d1024-do0.5-l11.e-04-l21.e-04-8105.hdf5,0.37553592308691697,3.5500588697038067,0.9540106951871657,0.47270425785037834
1 model test_acc test_loss single_acc single_loss
2 ./models/keras\pt-fl-fbn-efficientnet_v2b0-d1024-do0.5-l11.e-04-l21.e-04-5224-second_stage.hdf5 0.6720150708068079 1.7423864365349095 0.9893048128342246 0.4364729183409372
3 ./models/keras\pt-fl-fbn-efficientnet_v2b0-d1024-do0.5-l11.e-04-l21.e-04-5224.hdf5 0.410029881772119 3.346152696366266 0.986096256684492 0.3234976000776315
4 ./models/keras\pt-fl-fbn-efficientnet_v2s-d1024-do0.5-l11.e-04-l21.e-04-8105-second_stage.hdf5 0.6850721060153306 1.675868156533777 0.9967914438502674 0.3373779159304851
5 ./models/keras\pt-fl-fbn-efficientnet_v2s-d1024-do0.5-l11.e-04-l21.e-04-8105.hdf5 0.37553592308691697 3.5500588697038067 0.9540106951871657 0.47270425785037834
modeling_utils/model_testing.py
+1
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@@ -1,4 +1,5 @@
import numpy as np import numpy as np
import pandas as pd
from sklearn.metrics import accuracy_score, confusion_matrix, log_loss from sklearn.metrics import accuracy_score, confusion_matrix, log_loss
print_all_wrong.py
+1 -1
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@@ -1,4 +1,4 @@
import pandas as pd import pandas as pd
df = pd.read_csv("models/keras/pt-fl-fbn-efficientnet_v2b0-d1024-do0.5-l11.e-04-l21.e-04-5224-second_stage.csv") df = pd.read_csv("models/keras/pt-fl-fbn-efficientnet_v2s-d1024-do0.5-l11.e-04-l21.e-04-8105-second_stage.csv")
print(df.loc[df["prediction"] != df["true_val"]]) print(df.loc[df["prediction"] != df["true_val"]])