Hi Morganh, I am not talking about the actual cost function used to train the model itself, but the parameters specified in the spec file
I want to know the meaning of the various parameters as the documentation is vague about them.
namely - class_weight, coverage_foreground_weight, initial_weight, weight_target etc. Since I need to add more classes to the the spec file(as mentioned above), I wish to have more clarity regarding these parameters as to what value should I give for the nee classes.
cost_function_config {
target_classes {
name: "car"
class_weight: 1.0
coverage_foreground_weight: 0.0500000007451
objectives {
name: "cov"
initial_weight: 1.0
weight_target: 1.0
}
objectives {
name: "bbox"
initial_weight: 10.0
weight_target: 10.0
}
}