- Machine Learning with scikit：learn Quick Start Guide
- Kevin Jolly
- 138字
- 2021-06-24 18:15:53
The Anaconda method
In the event that you have installed Python using the Anaconda distribution, you can install scikit-learn by using the following code in the Anaconda prompt:
The first step is to install the dependencies:
conda install NumPy
conda install SciPy
Next, we can install scikit-learn by using the following code:
conda install scikit-learn
Additionally, if you already have scikit-learn installed with the Anaconda distribution, you can upgrade it to the latest version by using the following code in the Anaconda prompt:
conda update scikit-learn
When upgrading or uninstalling scikit-learn that has been installed with Anaconda, avoid using the pip method at all costs as doing so is most likely going to fail upgrading or removing all the required files. Stick with either the pip method or the Anaconda method in order to maintain consistency.
推薦閱讀
- Splunk 7 Essentials（Third Edition）
- 計算機應用
- 機器學習及應用（在線實驗+在線自測）
- Apache Hive Essentials
- 人工智能工程化：應用落地與中臺構建
- Supervised Machine Learning with Python
- 自動生產線的拆裝與調試
- 基于ARM 32位高速嵌入式微控制器
- CompTIA Linux+ Certification Guide
- 信息物理系統（CPS）測試與評價技術
- Machine Learning with Apache Spark Quick Start Guide
- The Python Workshop
- 電腦日常使用與維護322問
- 單片機技能與實訓
- Mastering Exploratory Analysis with pandas