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arjay55/Masking.py

Created August 24, 2019 03:43
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Masking_example
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Masking.py
masked_indices=kwargs.pop('masked_indices',[4,6,7,9,10,11,12,14,15])
boolmask=np.full(est_period,True)
boolmask[masked_indices]=False
model = tf.keras.Sequential()
model.add(tf.keras.layers.Dense(kwargs.pop('input_layer',7),
input_shape=(tf.boolean_mask(train_data[0][0],boolmask,axis=1).shape[1],
train_data[0][0].shape[2]),
kernel_initializer='he_normal',
kernel_regularizer=tf.keras.regularizers.l1(
l=kwargs.pop('uni_reg', 0)),
use_bias=True))
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