I am plotting a confusion matrix for a multiple labelled data, where labels look like: label1: 1, 0, 0, 0 label2: 0, 1, 0, 0 label3: 0, 0, 1, 0
I currently have a regression model that tries to predict a value based on 25 other ones. Here is the code I currently gave import tensorflow as tf import n
I am trying to optimize a logistic regression function in scikit-learn by using a cross-validated grid parameter search, but I can't seem to implement it. It
I am performing a grid search to identify the best SVM parameters. I am using ipython and sklearn. The code is slow and runs on only one core. How can this be s