In a typical multinomial logistic regression analysis involving six outcomes (class labels) and three input variables, how many model parameters will need to be estimated?
You develop a Python script "logisticpy" to evaluate the logistic function denoted as f(y) for a given value y that includes the following Pig code:
Register 'logistic.py' using jython as udf;
z = FOREACH y GENERATE $0, udf.logistic ($0);
DUMP z;
What is the expected output when the Pig code is executed?
A simul-ation to compare two different sales models yields different results for the same set of input variables in different runs.
What is the likely cause?
In a connected, undirected graph of 5 nodes with 10 edges, how many more edges need to be added to make the clustering coefficient of every node equal 1?
