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转载 sklearn中 F1-micro 与 F1-macro区别和计算原理

https://www.cnblogs.com/techengin/p/8962024.html <div id="post_detail"> sklearn中 F1-micro 与 F1-macro区别和计算原理        最近在使用sklearn做分类时候,用到metrics...

2019-07-11 10:22:51 503

翻译 mysql 笔记

mysql> SELECT count() ,table_schema FROM information_schema.TABLES where table_schema in (‘government’,‘bankrisk’) group by table_schema;±---------±-------------+| count() | table_schema |±---...

2019-05-30 13:48:06 258

转载 SparkML机器学习之特征工程(二)特征转化(Binarizer、StandardScaler、MaxAbsScaler、Normalizer、N-gram、Tokenizer等)

from https://yq.aliyun.com/articles/577701特征转化为什么要转化数据呢,就是要让它成为有效的特征,因为原始数据是很多脏数据无用数据的。常用的方法是标准化,归一化,特征的离散化等等。比如我输入的数据是句子,我得把它切分为一个个单词进行分析,这就是一种转化。连续型数据处理之二值化:Binarizer假设淘宝现在有个需求,我得根据年龄来进行物品推荐,把5...

2019-05-28 14:32:14 529

转载 PySpark SQL常用语法

from https://www.jianshu.com/p/177cbcb1cb6f PySpark SQL常用语法 <!-- 作者区域 --> <div class="author"> <a class="avatar" href="/u/fc7499020f49"> <img s...

2019-05-28 11:41:32 7054

转载 从0开始学pyspark(九):使用pyspark.ml.regression模块

from https://blog.csdn.net/tonydz0523/article/details/83869447 版权声明:本文为博主原创文章,如若转载请注明出处 https://blog.csdn.net/tonydz0523/article/details/83869447 </div&gt...

2019-05-28 11:32:53 1635

转载 对数据仓库Hive的一些认识

 首先我们得明白什么是数据仓库?   数据仓库,英文名称为Data warehouse,可简写为DW或DWH。数据仓库的目的是构建面向分析的集成化数据环境,为企业提供决策支持(Decision Support)。它出于分析性报告和决策支持目的而创建。  数据仓库本身并不“生产”任何数据,同时自身也不需要“消费”任何的数据,数据来源于外部,并且开放给外部应用,这也...

2019-05-25 11:42:09 175

转载 目标检测中region proposal的作用

作者:YJHMITWEB链接:https://www.zhihu.com/question/265345106/answer/294410307来源:知乎著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。首先我们明确一个定义,当前主流的Object Detection框架分为1 stage和2 stage,而2 stage多出来的这个stage就是Regional Proposa...

2018-04-08 10:28:18 19093 7

转载 dedekind cut

from http://mymathforum.com/real-analysis/149031-dedekind-cut-s2.htmlA Dedekind cut is two sets of rational numbers with a real number "in between" (it may be a member of the set BB if t

2016-06-13 14:35:39 362

转载 The Schröder-Bernstein Theorem

see https://www.whitman.edu/mathematics/higher_math_online/section04.09.html

2016-03-04 09:20:54 431

转载 Tutorial on Axiomatic Set Theory

Tutorial on Axiomatic Set TheoryJavier R. MovellanIntuitively we think of sets as collections of elements. The crucial part of this intuitiveconcept is that we are willing to treat sets as entit

2015-07-25 22:30:54 385 2

转载 Russell's Paradox: Here's Why Maths Can't Have A Set Of Everything

We recently wrote about how infinitely large sets are not all the same size as each other, but we were a bit vague about what we meant by a set.The people who invented set theory also started ou

2015-07-21 22:53:04 494

转载 Infinite sets

Are All Infinities the Same "Size"?So far we have mostly focused our attention on finite sets (that is, sets which are not infinite). But you may have noticed that most of the sets we work with in

2015-07-20 16:40:27 502

转载 Deriving the Poisson Distribution from the Binomial Distribution

At first glance, the binomial distribution and the Poisson distribution seem unrelated. But a closer look reveals a pretty interesting relationship. It turns out the Poisson distribution is just a

2015-07-10 17:02:20 546

Lectures in Logic and Set Theory- Volume 2, Set Theory

高清pdf Lectures in Logic and Set Theory- Volume 2, Set Theory

2016-02-22

Logic in Computer Science: Modelling and Reasoning about Systems

Logic in Computer Science: Modelling and Reasoning about Systems

2015-08-25

introduction to topology pdf 高清 书签

作者 Bert Mendelson 226 页, 目录: 1. theory of sets 2. metric spaces 3. topological spaces 4. connectedness 5. compactness

2015-07-16

Introductory Statistics with R (Statistics and Computing) 第二版

Introductory Statistics with R (Statistics and Computing) 第二版 This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets.

2015-06-27

Markov Chains and Stochastic Stability

Product Description: Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in the field since 1996 - many of them sparked by publication of the first edition. The pursuit of more efficient simulation algorithms for complex Markovian models, or algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov chains. As a result, new applications have emerged across a wide range of topics including optimisation, statistics, and economics. New commentary and an epilogue by Sean Meyn summarise recent developments and references have been fully updated. This second edition reflects the same discipline and style that marked out the original and helped it to become a classic: proofs are rigorous and concise, the range of applications is broad and knowledgeable, and key ideas are accessible to practitioners with limited mathematical background.

2015-06-13

Monte Carlo Statistical Methods

Monte Carlo Statistical Methods 第二版带自制书签

2015-06-13

Discovering Statistics Using R pdf 高清 自制书签

R 统计 高清 入门 Discovering Statistics Using R pdf 高清 自制书签

2015-03-19

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