python - 从 Scikit 学习的预测中抑制控制台消息

Question

我已经使用 Scikit learn 构建了预测模型。我已经用 Flask、joblib 部署了这个模型。每当我预测带有加载模型的新传入请求时，它都会在控制台上打印有关内核占用的总时间的消息。

现在，我想禁用此打印。我如何在模型预测新传入数据时抑制给定消息。

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Answer 1

我在使用 sklearn.linear_model.LinearRegression 时遇到了类似的提示。在这个方法中，我可以在 .fit() 方法或构造函数中找到没有冗长的参数。所以python代码:

import numpy as np
from sklearn.linear_model import LinearRegression as LR

lr = LR()
y = np.random.rand(100) + 0.01 * np.arange(100)     # noisy line to fit    
x = np.arange(100)
x = np.reshape(y,[100,1])
lr.fit(x,y)

我得到了烦人的输出:

LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)

因为 fit() 方法返回一个指向自身的指针，而这个文本代表那个对象。一种抑制这种情况的简单方法是将上面的代码修改为:

a = lr.fit(x,y)

从而将指针分配给某个变量而不是您的屏幕。