What is the translation of " SCIKIT-LEARN " in Chinese?

scikit-learn
scikit -learn
scikit学习

Examples of using Scikit-learn in English and their translations into Chinese

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Use scikit-learn with machine learning.
使用Scikit-Learn进行机器学习.
You need to install scikit-learn as well:.
这里,你应该已经安装了Scikit-Learn
Scikit-learn is part of the Anaconda package.
Scikit-learn已经包含在Anaconda中。
Two of the most popular ones are scikit-learn and TensorFlow.
其中两个最受欢迎的是scikit-learn和TensorFlow。
Like with scikit-learn, these benchmarks were conducted on the Bosch dataset.
scikit-learn一样,这些基准是在Bosch数据集上管理的。
Machine learning and computer vision(scikit-learn, Orange, SimpleCV).
机器学习和计算机版本(scikit-learn,Orange,SimpleCV).
Luckily, Scikit-Learn has a number of methods to allow us to efficiently evaluate hyperparameters.
幸运的是,Scikit-Learn中有多种方法可以让我们高效地评估超参数。
The reason has todo with the specifics of the logistic regression model in scikit-learn.
原因与scikit-learn中的逻辑回归模型的细节有关。
Use PyTorch because Scikit-Learn doesn't cater to deep learning.
那就使用PyTorch,因为Scikit-Learn不适合深度学习。
Pick up general-purpose machine learning libraries, such as Scikit-Learn(Python) or Caret(R).
使用通用的机器学习库,如Scikit-Learn(Python)或Caret(R)(需翻墙)。
Scikit-learn was initially developed by David Cournapeau as a Google summer of code project in 2007.
Scikit-learn最初是由DavidCournapeau在夏季谷歌代码活动上编写的。
A focus on strategies for evaluating different models in scikit-learn, covering train/test dataset splits:.
专注于scikit-learn中评估不同模型的策略,涉及训练集/测试集拆分:.
In Scikit-learn, a dataset refers to a dictionary-like object that has all the details about the data.
Scikit-learn中,数据集指的是类似字典的对象,其中包含有关数据的所有详细信息。
The converter works with popular frameworks like Caffe, Keras, scikit-learn, XGBoost and LibSVM.
转换器兼容各种流行的框架,如Caffe、Keras、scikit-learn、XGBoost和LibSVM。
Because Scikit-Learn has a gentle learning curve, the people on the business side of an organization can use it too.
由于Scikit-Learn的学习曲线很平缓,连企业的业务人员也能使用它。
Finally, both examples will use datasets that come bundled with scikit-learn, so there is no need to visit an external source.
最后,两个示例都将使用与scikit-learn自带的数据集,因此不需要访问外部源。
The Scikit-Learn library uses NumPy arrays in its implementation, so we will use NumPy to load*. csv files.
Scikit-Learn库在它的实现用使用了NumPy数组,所以我们将用NumPy来加载*.csv文件。
Once you know how to make one model in Scikit-Learn, you can quickly implement a diverse range of algorithms.
一旦你了解如何在Scikit-Learn中创建模型,那么很快就可以快速实现各种算法。
Scikit-Learn is by the way the toolkit used by many engineers at Google to prototype solutions for their“Big Data” problems.
Scikit-Learn被许多谷歌工程师用作“大数据”问题建模解决方案的工具包。
Topics covered include: Big Data, Hadoop, scikit-learn and the scientific Python stack, as well as many others.
话题涵盖大数据、Hadoop、scikit-learn和科学Python堆栈以及很多其他方面的内容。
Many such models will thus be casted as“Structuredoutput” problems which are currently outside of the scope of scikit-learn.
因此,许多这样的模型将被称为“结构化输出”问题,这些问题目前不在scikit学习的范围之内。
The tutorial also assumes scikit-learn and Keras v2.0+ are installed with either the Theano or TensorFlow backend.
该教程还假设已经安装了scikit-learn和kerasv2.0+,并且后端有Theano或TensorFlow其中之一。
The simple example on this dataset illustrates how starting from the originalproblem one can shape the data for consumption in scikit-learn.
该数据集上的简单示例说明了如何从原始问题开始,可以在scikit-learn中形成消费数据。
We are excited to be part of the SciKit-learn consortium and supporting a fantastic community of Scikit-learn developers and users.
很高兴能够成为SciKit学习联盟的一员,并支持SciKit-learn开发人员和用户社区。
In scikit-learn, an estimator for classification is a Python object that implements the methods fit(X, y) and predict(T).
scikit-learn中,评估函数(estimator)是一个Python对象,它实现了fit(X,y)与predict(T)方法。
Machine learning-specific libraries such as SciKit-Learn, TensorFlow, Keras and others are also quite popular," the report said.
机器学习专用库,如SciKit-Learn,TensorFlow,Keras等也很受欢迎,”该报告称。
Scikit-learn is an open source project focused on machine learning that is careful about avoiding scope creep and jumping on unproven algorithms.
Scikit-Learn是一个专注于机器学习的开源项目,该项目非常小心地避免范围蔓延和跳到未经验证的算法上。
For example, the following snippet uses chardet(not shipped with scikit-learn, must be installed separately) to figure out the encoding of three texts.
例如,以下代码段使用chardet(未附带scikit学习,必须单独安装),以找出三个文本的编码。
In addition to this consistent API design, SciKit-Learn also comes with several useful tools for processing data common to many machine learning projects.
除了这个一致的API设计,SciKit-Learn还提供了一些有用的工具来处理许多机器学习项目中常见的数据。
If the concept of strides has you drooling,don't worry: Scikit-Learn has already embedded this entire process nicely within its feature_extraction module.
如果大步幅的概念让你感到兴奋,请不要激动:Scikit-Learn已经在其feature_extraction模块中很好地嵌入了整个过程。
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