擅长:python、mysql、java
<p>使用X输入,可以得到输入数组的求值:</p>
<pre><code>def predict(self, X, alpha=None):
"""The linear predictor of the model.
Parameters
X : array-like, shape = (n_samples, n_features)
Test data of which to calculate log-likelihood from
alpha : float, optional
Constant that multiplies the penalty terms. If the same alpha was used during training, exact
coefficients are used, otherwise coefficients are interpolated from the closest alpha values that
were used during training. If set to ``None``, the last alpha in the solution path is used.
Returns
-
T : array, shape = (n_samples,)
The predicted decision function
"""
X = check_array(X)
coef = self._get_coef(alpha)
return numpy.dot(X, coef)
</code></pre>
<p>定义检查数组来自另一个<a href="http://scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html" rel="nofollow noreferrer">library</a>。
您可以查看<a href="https://github.com/sebp/scikit-survival/blob/master/sksurv/linear_model/coxnet.py" rel="nofollow noreferrer">coxnet</a>的代码。在</p>