Comments (11)
Do you have an estimate for this task? Thanks for this great job.
from smile.
If you strongly need it, we can start to work on it.
from smile.
It would be great, because probabilistic outputs helps to evaluate the errors. Can I help?
from smile.
Sure. You are very welcome to contribute!! Thank you!
from smile.
Any progress in this thread? Just to know...
from smile.
not yet. i am busy with other issues. are there great needs of this feature?
from smile.
Thanks! I was looking to compare the NN vs SVM results in an article.
from smile.
I am not sure if it is a good idea to compare NN and SVM by posteriori probabilities. With right choice of active functions in NN, it calculate posterior probabilities. But it is just an estimation in SVM with Platt's trick.
from smile.
I agree with you. The idea is not to benchmark each other probabilities, but to show use cases of classifiers that have probabilistic outputs (even if its only an estimation).
from smile.
Ok, it is there. I just push PlattScaling to master. To use it, please call
svm.trainPlattScaling(x, y);
after training a SVM (i.e. after call finish()). Then use
svm.predict(x, prob)
to get the posteriori probabilities.
from smile.
Wonderful! I am going to play with PlattScaling this weekend and try to share some results in an article!
from smile.
Related Issues (20)
- Dot product Question HOT 2
- stringVector(0) error HOT 1
- Suggest changing license to Apache 2.0 license or MIT
- Non-monotonic cluster tree -- the linkage is probably not appropriate! HOT 1
- HiddenLayerBuilder does not add dropout to HiddenLayer HOT 4
- Method in interface BaseArray can never return an int[] HOT 2
- Making the plot module available in Java API HOT 4
- InnerProduct of vectors created with cas.Vars not being simplified HOT 6
- Support header attribute on facet / row / column encoding channels HOT 2
- Incorrect spec generated for encoding channel sort HOT 4
- How can I set up in Intellij or other IDE to compile and read code? HOT 3
- What is the efficient way to fill null values in a column with an arbitrary string in a Dataframe? HOT 3
- ClassCastException when calling DataFrame.omitNullRows() HOT 1
- smile.plot.swing.BarPlot works with smile-plot 3.0.2 but not with 3.1.0 HOT 2
- IllegalArgumentException when suing SimpleImputer for data sourced from json file HOT 1
- Is there any possibility to use ID3 or C4.5 via the Smile Package in Java? HOT 1
- Issue: Error with Prediction Method in Random Forest and Gradient Boost Regression HOT 3
- F1, precision & recall for multi-class classification HOT 5
- Predict requires DataFrame that contains the predicted variable in 3.1.0 HOT 5
- Suspicious discontinuity in run time with LU decomposition HOT 2
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