sklearn datasets
sklearn.datasets. load_breast_cancer (*, return_X_y=False, as_frame=False)[source]¶. Load and return the breast cancer wisconsin dataset (classification). ,Load the filenames and data from the 20 newsgroups dataset (classification). fetch_20newsgroups_vectorized (*[, subset, …]) Load and vectorize the 20 ...
| 相關軟體 Weka 資訊 | |
|---|---|
 sklearn datasets 相關參考資料
sklearn.datasets.load_iris — scikit-learn 0.24.1 documentation
Examples using sklearn.datasets.load_iris. Release Highlights for scikit-learn 0.24. Release Highlights for scikit-learn 0.22. Plot classification probability. Plot Hierarchical Clustering Dendrogram.... http://scikit-learn.org sklearn.datasets.load_breast_cancer — scikit-learn 0.24.1 ...
sklearn.datasets. load_breast_cancer (*, return_X_y=False, as_frame=False)[source]¶. Load and return the breast cancer wisconsin dataset (classification). http://scikit-learn.org 7.2. Real world datasets — scikit-learn 0.24.1 documentation
Load the filenames and data from the 20 newsgroups dataset (classification). fetch_20newsgroups_vectorized (*[, subset, …]) Load and vectorize the 20 ... http://scikit-learn.org 7.1. Toy datasets — scikit-learn 0.24.1 documentation
scikit-learn comes with a few small standard datasets that do not require to download any ... Load and return the breast cancer wisconsin dataset (classification). https://scikit-learn.org 5. Dataset loading utilities — scikit-learn 0.16.1 documentation
The sklearn.datasets package embeds some small toy datasets as introduced in the Getting Started section. To evaluate the impact of the scale of the dataset ... https://scikit-learn.org 7. Dataset loading utilities — scikit-learn 0.24.1 documentation
Dataset loading utilities¶. The sklearn.datasets package embeds some small toy datasets as introduced in the Getting Started section. This package also ... https://scikit-learn.org sklearn.datasets.load_iris — scikit-learn 0.16.1 documentation
The iris dataset is a classic and very easy multi-class classification dataset. Classes, 3. Samples per class, 50. Samples total, 150. Dimensionality, 4. https://scikit-learn.org [資料分析&機器學習] 第2.1講： 如何獲取資料？ Sklearn內建 ...
2017年9月22日 — 第2.4講：資料前處理(Missing data, One-hot encoding, Feature Scaling) ... 載入資料，scikit-learn 提供的dataset可點此參考sklearn-datasets。 https://medium.com Scikit-Learn 教學：Python 與機器學習- DataCamp
2017年1月27日 — 我們首先由 sklearn 套件載入 datasets 模組，然後使用 datasets 模組的 load_digits() 方法來輸入資料，試著依照註解的提示完成程式後點選Run ... https://www.datacamp.com |