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fix

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s434695 2021-05-23 23:14:15 +02:00
parent b5774c67b7
commit 9050bcb8e7
17 changed files with 61 additions and 2 deletions
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mlruns/0/156c624fa6ff468887bf9543a37ce8b3/meta.yaml Normal file
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artifact_uri: file:///home/tomasz/IUM/ium_434695/mlruns/0/156c624fa6ff468887bf9543a37ce8b3/artifacts
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mlruns/0/156c624fa6ff468887bf9543a37ce8b3/tags/mlflow.source.git.commit Normal file
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b5774c67b74e143c2e0d3a990180a7305140b234

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mlruns/0/156c624fa6ff468887bf9543a37ce8b3/tags/mlflow.source.name Normal file
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/home/tomasz/IUM/ium_434695/vgsales-mlflow.py

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LOCAL

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tomasz

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mlruns/0/4be4d7d988dc477e8ec483ca0ec5bb30/tags/mlflow.source.git.commit Normal file
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b5774c67b74e143c2e0d3a990180a7305140b234

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mlruns/0/4be4d7d988dc477e8ec483ca0ec5bb30/tags/mlflow.source.name Normal file
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/home/tomasz/IUM/ium_434695/vgsales-mlflow.py

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LOCAL

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tomasz

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mlruns/0/b19dc8b40ada4fdea65402cf2f8a4c39/meta.yaml Normal file
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mlruns/0/b19dc8b40ada4fdea65402cf2f8a4c39/tags/mlflow.source.git.commit Normal file
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b5774c67b74e143c2e0d3a990180a7305140b234

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mlruns/0/b19dc8b40ada4fdea65402cf2f8a4c39/tags/mlflow.source.name Normal file
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/home/tomasz/IUM/ium_434695/vgsales-mlflow.py

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mlruns/0/b19dc8b40ada4fdea65402cf2f8a4c39/tags/mlflow.source.type Normal file
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LOCAL

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tomasz

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train.py
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@ -40,8 +40,10 @@ def prepare_model(epoch_param, batch_param, _run):
X_train = vgsales_train.drop(['Rank','Name','Platform','Year','Genre','Publisher'],axis = 1)
y_train = vgsales_train[['Nintendo']]
y_train = keras.utils.to_categorical(y_train)
X_test = vgsales_test.drop(['Rank','Name','Platform','Year','Genre','Publisher'],axis = 1)
y_test = vgsales_test[['Nintendo']]
y_test = keras.utils.to_categorical(y_test)
print(X_train.shape[1])
@ -51,7 +53,7 @@ def prepare_model(epoch_param, batch_param, _run):
early_stop = EarlyStopping(monitor="val_loss", mode="min", verbose=1, patience=10)
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
epochs = int(sys.argv[1])
batch_size = int(sys.argv[2])

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vgsales-mlflow.py
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@ -35,7 +35,7 @@ def my_main(epochs, batch_size):
early_stop = EarlyStopping(monitor="val_loss", mode="min", verbose=1, patience=10)
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(X_train, y_train, epochs=epochs, batch_size=batch_size, validation_data=(X_test, y_test))