43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
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from keras_core.api_export import keras_core_export
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from keras_core.callbacks.callback import Callback
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@keras_core_export("keras_core.callbacks.History")
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class History(Callback):
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"""Callback that records events into a `History` object.
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This callback is automatically applied to
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every Keras model. The `History` object
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gets returned by the `fit()` method of models.
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Example:
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>>> model = Sequential([layers.Dense(10)])
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>>> model.compile(SGD(), loss='mse')
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>>> history = model.fit(np.arange(100).reshape(5, 20), np.zeros(5),
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... epochs=10, verbose=1)
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>>> print(history.params)
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{'verbose': 1, 'epochs': 10, 'steps': 1}
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>>> # check the keys of history object
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>>> print(history.history.keys())
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dict_keys(['loss'])
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"""
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def __init__(self):
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super().__init__()
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self.history = {}
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def on_train_begin(self, logs=None):
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self.epoch = []
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def on_epoch_end(self, epoch, logs=None):
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logs = logs or {}
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self.epoch.append(epoch)
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for k, v in logs.items():
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self.history.setdefault(k, []).append(v)
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# Set the history attribute on the model after the epoch ends. This will
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# make sure that the state which is set is the latest one.
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self.model.history = self
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