Comments (1)
Actually seems quite ok atm, we are not getting samples with an exact number of individuals but it's still a good approximation and easily distributed.
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Related Issues (17)
- [Global] Implement MLReadable and MLWritable
- [Test] Better test suite HOT 1
- [Global] Improved comments/doc HOT 1
- [Boosting] Implement GBM
- [Global] PySpark Bindings HOT 2
- [GBM] Classifier does not seem to take in account Learning Rate and Iterations
- [Global] Rewrite algorithm to dataset based HOT 1
- [GBM/Boosting] Implement stop with validation set HOT 1
- [GBM] Parameter for using either optimized weights (found with lbfgs) or not HOT 1
- [SubBag] Compute OOB error
- [SubBag] Use VectorSlicer instead of simple UDF in training HOT 1
- [Boosting] null values if maxError is 0 HOT 1
- [Bagging] Sampling with explode(array_repeat(lit(1),numInstance)
- [Boosting] Too many passes on RDD to compute aggregates ? HOT 1
- [Global] Refractor code
- [Global] Passing baseLearner params to CV
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from spark-ensemble.