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Persisting models with joblib使用joblib保存模型

In this recipe, we're going to show how you can keep your model around for a lat...

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Feature selection on L1 norms在L1范数下的特征选择

We're going to work with some ideas similar to those we saw in the recipe on Las...

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Feature selection特征选择

This recipe along with the two following it will be centered around automatic fe...

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Regression model evaluation回归模型评估

We learned about quantifying the error in classification, now we'll discuss quan...

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Using dummy estimators to compare results使用虚拟估计值来对比结果

This recipe is about creating fake estimators; this isn't the pretty or exciting...

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Using dummy estimators to compare results使用虚拟估计值来对比结果

This recipe is about creating fake estimators; this isn't the pretty or exciting...

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Brute force grid search暴力网格搜索

In this recipe, we'll do an exhaustive grid search through scikit-learn. This is...

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Poor man's grid search穷举网格搜索

In this recipe, we're going to introduce grid search with basic Python, though w...

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Stratified k-fold K-fold分层

In this recipe, we'll quickly look at stratified k-fold valuation. We've walked ...

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Cross validation with ShuffleSplit使用ShuffleSplit做交叉验证

ShuffleSplit is one of the simplest cross validation techniques. This cross vali...

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Automatic cross validation自动交叉验证

We've looked at the using cross validation iterators that scikit-learn comes wit...

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K-fold cross validation K-fold交叉验证

In this recipe, we'll create, quite possibly, the most important post-model vali...

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5 Postmodel Workflow

This chapter will cover the following recipes:这章将包含以下部分:

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Label propagation with semi-supervised learning半监督学习之标签传播算法

Label propagation is a semi-supervised technique that makes use of the labeled a...

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Classifying documents with Naïve Bayes使用朴素贝叶斯分类文本

Naïve Bayes is a really interesting model. It's somewhat similar to k-NN in the ...

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Using Stochastic Gradient Descent for classification使用随机梯度下降来分类

As was discussed in Chapter 2, Working with Linear Models, Stochastic Gradient D...

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Working with QDA – a nonlinear LDA使用QDA-非线性的LDA

QDA is the generalization of a common technique such as quadratic regression. It...

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Using LDA for classification使用LDA线性判别分析来分类

Linear Discriminant Analysis (LDA) attempts to fit a linear combination of featu...

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Generalizing with multiclass classification多分类问题简单介绍

In this recipe, we'll look at multiclass classification. Depending on your choic...

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Classifying data with support vector machines支持向量机用于分类数据

Support vector machines (SVM) is one of the techniques we will use that doesn't ...

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