Jaak Simm

Thank you for the report. Currently, Optunity-s R wrapper has been extensively tested on Linux but not too much in Windows. I will explore the problems Windows setup in the...

It seems the behavior of `numeric(opipe)` is not very reliable as in Linux it just returns vector of three 0s. But there is a simple alternative. We can change `optunity.standalone...

The variables are treated as float's in optunity, so you have to convert them back to `int` when calling `XGBClassifier`. For example: ``` clf = XGBClassifier( learning_rate=learning_rate, n_estimators=n_estimators, max_depth=int(max_depth), ......

It is possible put only through `tasks` variable: * If you have two dimensional output then for each `x` that has both values you have to duplicate their rows in...

Hi, Currently it is not possible. However, it would not be too difficult to implement. I could implement HDF5 support where each sample is dumped into a separate HDF5 file....

Unfortunately, this will work for only small models where all samples fit into memory. For larger cases where one sample takes a GB or more, it is not feasible to...

Hi, One key question is whether all samples will fit into memory? Main reason why did not provide that option was to avoid running out of memory. As a quick...

Using binary format should reduce the needed disk-space, also **float32** should have sufficient precision for storing the matrices. I hope this solves the issue :). The `feather` package you linked...

Hi, Thanks for the bug report. I'll make it more clear in the installation instructions where the OpenBLAS is searched for. best, Jaak

Hi, It is the `libs` directory of OpenBLAS. The line to modify is setup.py:110 `ldirs = ["/opt/OpenBLAS/lib", "/usr/local/lib", "/usr/lib/openblas-base", "/usr/local/lib/gcc/7", "/usr/local/opt/openblas/lib", "/usr/local/opt/gcc/lib/gcc/5"]`. best, Jaak