mercy0387

## customModelCheckpoint.py
from keras.callbacks import Callback
import numpy as np

class CustomModelCheckpoint(Callback):
    """
    Custom Metricsが特定の閾値を超えたときだけモデルを保存するチェックポイント
    thresholdsはkeyがmetrics名、値が閾値となるDictionary
    """
    def __init__(self, filepath, thresholds, inverse=False):
        super(CustomModelCheckpoint, self).__init__()

## backend.py
from keras import backend as K

model_input = Input(shape=(10,))
calculated = K.sqrt(model_input + 1.0)
model = Model(inputs=model_input, outputs=calculated)

## file4.txt
y_i = \sum_{k=1}^{5} (w_{ki}*x_k) + b_i \quad (1 \leq i \leq 5)
	from keras.callbacks import Callback
	import numpy as np

	class CustomModelCheckpoint(Callback):
	"""
	Custom Metricsが特定の閾値を超えたときだけモデルを保存するチェックポイント
	thresholdsはkeyがmetrics名、値が閾値となるDictionary
	"""
	def __init__(self, filepath, thresholds, inverse=False):
	super(CustomModelCheckpoint, self).__init__()
	from keras import backend as K

	model_input = Input(shape=(10,))
	calculated = K.sqrt(model_input + 1.0)
	model = Model(inputs=model_input, outputs=calculated)