Logistic Regressions are classification models, in spite of what their name might suggest. The logistic function is applied to the probability of belonging to one class or another, so even if they compute a number, the final prediction is a class. They cannot be used in regression problems and they are less informative than Decision Trees.
To learn about all their available configuration options using BigML's Dashboard, you can check the corresponding section of the Logistic Regressions documentation. Also the Logistic Regressions API documentation contains the information about the attributes that need to be specified to configure your source programmatically.