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Python PCA.reduced_space方法代码示例

本文整理汇总了Python中sklearn.decomposition.PCA.reduced_space方法的典型用法代码示例。如果您正苦于以下问题:Python PCA.reduced_space方法的具体用法?Python PCA.reduced_space怎么用?Python PCA.reduced_space使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在sklearn.decomposition.PCA的用法示例。


在下文中一共展示了PCA.reduced_space方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: test_init

# 需要导入模块: from sklearn.decomposition import PCA [as 别名]
# 或者: from sklearn.decomposition.PCA import reduced_space [as 别名]
    def test_init(self, df_norm, n_components):
        from flotilla.compute.decomposition import DataFramePCA

        test_pca = DataFramePCA(df_norm, n_components=n_components)

        true_pca = PCA(n_components=n_components)
        true_pca.fit(df_norm.values)
        pc_names = ['pc_{}'.format(i + 1) for i in
                    range(true_pca.components_.shape[0])]
        true_pca.components_ = pd.DataFrame(true_pca.components_,
                                            index=pc_names,
                                            columns=df_norm.columns)
        true_pca.explained_variance_ = pd.Series(
            true_pca.explained_variance_, index=pc_names)
        true_pca.explained_variance_ratio_ = pd.Series(
            true_pca.explained_variance_ratio_, index=pc_names)
        true_pca.reduced_space = true_pca.transform(df_norm.values)
        true_pca.reduced_space = pd.DataFrame(true_pca.reduced_space,
                                              index=df_norm.index,
                                              columns=pc_names)

        npt.assert_array_equal(test_pca.X, df_norm.values)
        pdt.assert_frame_equal(test_pca.components_,
                               true_pca.components_)
        pdt.assert_series_equal(test_pca.explained_variance_,
                                true_pca.explained_variance_)
        pdt.assert_series_equal(test_pca.explained_variance_ratio_,
                                true_pca.explained_variance_ratio_)
        pdt.assert_frame_equal(test_pca.reduced_space,
                               true_pca.reduced_space)
开发者ID:EdwardBetts,项目名称:flotilla,代码行数:32,代码来源:test_decomposition.py

示例2: test_init

# 需要导入模块: from sklearn.decomposition import PCA [as 别名]
# 或者: from sklearn.decomposition.PCA import reduced_space [as 别名]
    def test_init(self, df_norm, n_components):
        from flotilla.compute.decomposition import DataFramePCA

        test_pca = DataFramePCA(df_norm, n_components=n_components)

        true_pca = PCA(n_components=n_components)
        true_pca.fit(df_norm.values)
        pc_names = ['pc_{}'.format(i+1) for i in
                    range(true_pca.components_.shape[0])]
        true_pca.components_ = pd.DataFrame(true_pca.components_,
                                            index=pc_names,
                                            columns=df_norm.columns)
        true_pca.explained_variance_ = pd.Series(
            true_pca.explained_variance_, index=pc_names)
        true_pca.explained_variance_ratio_ = pd.Series(
            true_pca.explained_variance_ratio_, index=pc_names)
        true_pca.reduced_space = true_pca.transform(df_norm.values)
        true_pca.reduced_space = pd.DataFrame(true_pca.reduced_space,
                                              index=df_norm.index,
                                              columns=pc_names)

        npt.assert_array_equal(test_pca.X, df_norm.values)
        pdt.assert_frame_equal(test_pca.components_,
                               true_pca.components_)
        pdt.assert_series_equal(test_pca.explained_variance_,
                               true_pca.explained_variance_)
        pdt.assert_series_equal(test_pca.explained_variance_ratio_,
                               true_pca.explained_variance_ratio_)
        pdt.assert_frame_equal(test_pca.reduced_space,
                               true_pca.reduced_space)
        
        
# class TestDataFrameNMF():
#     def test_init(self, df_nonneg, n_components, RANDOM_STATE):
#         from flotilla.compute.decomposition import DataFrameNMF
#
#         test_nmf = DataFrameNMF(df_nonneg, n_components=n_components,
#                                 random_state=RANDOM_STATE)
#
#         true_nmf = NMF(n_components=n_components, random_state=RANDOM_STATE)
#         true_nmf.reduced_space = true_nmf.fit_transform(df_nonneg.values)
#         pc_names = ['pc_{}'.format(i + 1) for i in
#                     range(true_nmf.components_.shape[0])]
#         true_nmf.reduced_space = pd.DataFrame(true_nmf.reduced_space,
#                                               index=df_nonneg.index,
#                                               columns=pc_names)
#         true_nmf.components_ = pd.DataFrame(true_nmf.components_,
#                                             index=pc_names,
#                                             columns=df_nonneg.columns)
#
#         npt.assert_almost_equal(test_nmf.X, df_nonneg.values, decimal=4)
#         pdt.assert_frame_equal(test_nmf.components_,
#                                true_nmf.components_)
#         pdt.assert_frame_equal(test_nmf.reduced_space,
#                                true_nmf.reduced_space)
开发者ID:bobbybabra,项目名称:flotilla,代码行数:57,代码来源:test_decomposition.py


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