| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| import numpy as np |
| from sklearn import datasets, utils |
| |
| """ |
| Module to load digit data. |
| """ |
| |
| |
| def digit_data() -> utils.Bunch: |
| return datasets.load_digits() |
| |
| |
| def target(digit_data: utils.Bunch) -> np.ndarray: |
| return digit_data.target |
| |
| |
| def target_names(digit_data: utils.Bunch) -> np.ndarray: |
| return digit_data.target_names |
| |
| |
| def feature_matrix(digit_data: utils.Bunch) -> np.ndarray: |
| # return digit_data.images.reshape((len(digit_data), -1)) |
| return digit_data.data |
