cherics的博客

tf.keras.layers.Lambda函数说明将任意表达式包装为Layer对象。tf.keras.layers.Lambda( function, output_shape=None, mask=None, arguments=None, **kwargs)使用示例实现方式一def test_lambda_layer(): layers_lambda = tf.keras.layers.Lambda(lambda x: x ** 2) X = np.linspa

场景需要在java调用python sklearn训练评估的模型，本文介绍使用pmml来实现。生成pmml文件#引入sklearn2pmml包from sklearn2pmml import sklearn2pmmlfrom sklearn2pmml.pipeline import PMMLPipeline#使用PMMLPipeline包裹具体评估器clf = PMMLPipeline([("MLPClassifier", MLPClassifier(hidden_layer_sizes=(