ModelManager
Wrapper for keras models to ensure logging and reproducibility
import keras
from keras.models import Sequential
from ModelManager import ModelManager
# Create some simple model
my_model = Sequential()
my_model.add(Dense(2, input_dim=1, activation='relu'))
my_model.add(Dense(1, activation='sigmoid'))
my_model.compile(optimizer=keras.optimizers.Adam(learning_rate=0.01), loss='categorical_crossentropy')
# Some data
x = [1, 2, 3, 4, 5]
y = [1, 2, 3, 4, 5]
mm = ModelManager("some/path", model=my_model, save_history=True, save_weights=True, save_model=True)
mm.fit(x=x, y=y, batch_size=1, epochs=3)
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Release files for KerasModelManager 0.0.10
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Source distribution (sdist)
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| KerasModelManager-0.0.10.tar.gz | 4.9 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| KerasModelManager-0.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 kB
Release files / KerasModelManager-0.0.10.tar.gz
| Download URL | KerasModelManager-0.0.10.tar.gz |
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| Size | 4.9 kB |
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Release files / KerasModelManager-0.0.10-py3-none-any.whl
| Download URL | KerasModelManager-0.0.10-py3-none-any.whl |
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| Size | 5.7 kB |
| Tags | Python 3 |
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