机器学习，应用培训模型进行测试

作者: 一瓶泡沫
发布时间: 2025-02-09 05:23:58 (13天前)
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不易青年。 | 2019-08-31 10-32

<div class =“post-text”itemprop =“text”> <P> 没有for循环，它变得非常容易。 </p> <pre> <code> import numpy as np from sklearn import decomposition from sklearn import linear_model features_train = np.loadtxt('C:\\Users\\bruker\\Desktop\\Data\\CFD_features.txt', delimiter=',') ratings_train = np.loadtxt('C:\\Users\\bruker\\Desktop\\Data\\CFD_ratings.txt', delimiter=',') pca = decomposition.PCA(n_components=13) pca.fit(features_train) features_train = pca.transform(features_train) regr = linear_model.LinearRegression() regr.fit(features_train, ratings_train) features_test = np.loadtxt('C:\\Users\\bruker\\Desktop\\Data\\CFD_features_Test.txt', delimiter=',') features_test = pca.transform(features_test) predictions = regr.predict(features_test) </code> </pre> </DIV>

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