<p>我想在mlpclassizer中初始化权重,但是当我在<code>.fit()</code>方法中使用sample_-weight时,
上面写着<code>TypeError: fit() got an unexpected keyword argument 'sample_weight'</code></p>
<pre><code>import sklearn.neural_network as SKNN
mlp_classifier = SKNN.MLPClassifier((10,), learning_rate="invscaling",solver="lbfgs")
fit_model = mlp_classifier.fit(train_data,train_target, sample_weight = weight)
</code></pre>
<p>我也读过<a href="https://stackoverflow.com/questions/34389624/what-does-sample-weight-do-to-the-way-a-decisiontreeclassifier-works-in-skle">What does `sample_weight` do to the way a `DecisionTreeClassifier` works in sklearn?</a>,它说你应该在<code>.fit()</code>方法中使用sample碜weight。在</p>
<p>有没有什么方法可以像<code>Decisiontreeclassifier</code>那样使用<code>sample_weight</code>来表示<code>MLPclassifier</code>?在</p>