Logistic regression is an algorithm for linear and binary classification problems. It is a classification, not regression algorithm. 1. From odds ratio to sigmoidal logistic function If $p$ is the probability of a sample being a positive event, then the odds ratio is defined as: $$\textrm{odds ratio} = \frac{p}{1-p}. \tag{1.1}$$ The logarithm of the odds ratio function is called logit function: $$z = \textrm{logit}(p) = log(\frac{p}{1-p}). \tag{1.2}$$ Logit function maps the probability $\{p|p\in[0, 1]\}$ to the entire real domain $\{z|z\in(-\infty, +\infty)\}$.

In this post, we are going to go through another demo program on Hadoop - Max Global Temperature.

1. Source Code

In this post, I will talk about how to run the demo program “word count” in Hadoop environment.

1. Source Code

1. Check if Java is installed.

In terminal, input:

$ java -version

output:

  突然留意到今天是四月的最后一天了，美国南部已经到了叶嫩花初的时节，即将奏响夏的序曲。   小时候，