This is for the program Python under a Jupyter notebook. Suppose that you wanted

Question

This is for the program Python under a Jupyter notebook.

Suppose that you wanted to generate a number that is 1 with probability 0.75 and 0 with probability 0.25. Edit the cell below to correctly generate this number. In []: # generate random number u = np. random. rand () # make comparsion # HINT: Insert an if statement # YOUR CODE HERE coinFlip = 1 else: coinFlip = 0 # print result print (coinFlip) Now, we're going to create a function generateRandomcoinFlip that generates a random coin flip that is 1 with probability p. This is a function where p is an input and outcome is the output. In [4]: def generateRandomcoinFlip (p): # YOUR CODE HERE return outcome

Explanation / Answer

package PackageDemo;
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
public category WordCount price.toString();
String[] words=line.split(",");
for(String word: words )

}
}
public static category ReduceForWordCount extends Reducer<Text, IntWritable, Text, IntWritable>
total = 0;
for(IntWritable worth : values)
total += worth.get();
}
con.write(word, new IntWritable(sum));
}
}
}

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