Hi Folks,
I have a question regarding the *TelephoneCall *in example package. We we
add load the training data from the CSV into the training matrix, we add a
weight for each feature-field in the feature vector.
In the TelephoneCall code, we add the weight with a *Log(v)*, logarithmic
value not the real value. I can not understand why ?!! Please find code
snippet below :-
case "age": {
double v = Double.parseDouble(fieldValue);
featureEncoder.addToVector(name, Math.log(v), vector);
break;
}
However, in the balance field, we assign a negative value if less than
threshold, like this
case "balance": {
double v;
v = Double.parseDouble(fieldValue);
if (v < -2000) {
v = -2000;
}
featureEncoder.addToVector(name, Math.log(v + 2001) - 8, vector);
break;
}
Anyone can explain the logic, I am trying to run it on my own dataset,
and I am taking this example as a reference
Also I would like to know why we use a hashed vector, I can not get the
idea of that ?!!
Cheers.
--
Mustafa Elbehery
EIT ICT Labs Master School <http://www.masterschool.eitictlabs.eu/home/>
+49(0)15750363097
skype: mustafaelbehery87
