Comments (4)
I’m sorry but I can’t read Chinese and I don’t understand your English question either.
from liblinear-java.
like this
double prediction = Linear.predict(model, instance);
it only return class id , but i want get Confidence level score...
because man sample not in any class ..
i am so so so sorry , my english is Very bad..
from liblinear-java.
I guess you might be intereseted in Linear.predictProbability() which returns a per-class probability estimation.
Example:
double probabilityEstimates[] = new double[numClasses];
double prediction = Linear.predictProbability(model, instance, probabilityEstimates);
// use the values in probabilityEstimates
However, probability output is only supported for logistic regression, i.e. one of the following solvers: L2R_LR, L1R_LR, L2R_LR_DUAL
from liblinear-java.
you are great!! i want it ...thank you very much!
from liblinear-java.
Related Issues (20)
- Suppress output to console when using API HOT 2
- Port Liblinear weights
- how to get the separating hyperplane parameters or separating hyperplane equation? HOT 1
- Documentation For Java API HOT 2
- Overload Train.readProblem to take an InputStream instead of File HOT 3
- No option for no bias feature for Train.readProblem() HOT 1
- Different Results With the Same Experiment HOT 4
- InvalidInputDataException: indices must be sorted in ascending order (line 479) HOT 1
- Bias term is added by default HOT 2
- Bias parameter not used in Linear.predictValues() HOT 4
- Implement init_sol setter in Parameter
- How to obtain the support vectors
- Thread safety problem in predict: flag_predict_probability shouldn't be static HOT 3
- NullPointerException when using sparse data to train Model HOT 1
- Linear's global RNG makes it difficult to reproduce models or track concurrent executions HOT 6
- Is a bias term added to the features automatically? HOT 2
- Does liblinear-java support incremental training?
- Linear.loadModel(Reader) should not close the reader
- Setting HOT 1
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from liblinear-java.