def test_keras_transformer_single_dim(self):
"""
Test that KerasTransformer correctly handles single-dimensional input data.
"""
# Construct a model for simple binary classification (with a single hidden layer)
model = Sequential()
input_shape = [10]
model.add(Dense(units=10, input_shape=input_shape,
bias_initializer=self._getKerasModelWeightInitializer(),
kernel_initializer=self._getKerasModelWeightInitializer()))
model.add(Activation('relu'))
model.add(Dense(units=1, bias_initializer=self._getKerasModelWeightInitializer(),
kernel_initializer=self._getKerasModelWeightInitializer()))
model.add(Activation('sigmoid'))
# Compare KerasTransformer output to raw Keras model output
self._test_keras_transformer_helper(model, model_filename="keras_transformer_single_dim")
keras_transformer_test.py 文件源码
python
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