如何在Keras中计算精度和召回率

问题描述

我正在使用Keras 2.02(带有Tensorflow后端)构建多分类器，我不知道如何在Keras中计算精度和召回率.请帮助我.

I am building a multi-class classifier with Keras 2.02 (with Tensorflow backend)，and I do not know how to calculate precision and recall in Keras. Please help me.

推荐答案

Python包 keras-metrics 可能对此有用(我是软件包的作者).

Python package keras-metrics could be useful for this (I'm the package's author).

import keras
import keras_metrics

model = models.Sequential()
model.add(keras.layers.Dense(1, activation="sigmoid", input_dim=2))
model.add(keras.layers.Dense(1, activation="softmax"))

model.compile(optimizer="sgd",
              loss="binary_crossentropy",
              metrics=[keras_metrics.precision(), keras_metrics.recall()])

更新:从Keras版本2.3.0开始，库分发包中提供了诸如精度，召回率等指标.

UPDATE: Starting with Keras version 2.3.0, such metrics as precision, recall, etc. are provided within library distribution package.

用法如下:

model.compile(optimizer="sgd",
              loss="binary_crossentropy",
              metrics=[keras.metrics.Precision(), keras.metrics.Recall()])

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