Bruno Abreu Calfa
Bruno Abreu Calfa
First of all, THANK YOU very much for this project! This is all I needed to start 2012 well! :D I'd like to suggest the following: to exhibit the "old"...
Not an issue, but a few questions. - Is it possible to use Bayesian optimization (e.g., https://scikit-optimize.github.io/stable/) with a `MapieRegressor` or `MapieClassifier` model? - If I fit the scikit-learn estimator...
There are some occurrences of the `print` function without parentheses. Files: examples.py and mifs.py. Update: There's a pull request, but it hasn't been accepted yet.
Doesn't seem to work with `pip install pysurvival`. ``` ... pysurvival/cpp_extensions/non_parametric.cpp(349): error C2065: 'M_PI': undeclared identifier pysurvival/cpp_extensions/non_parametric.cpp(364): error C2065: 'M_PI': undeclared identifier error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\cl.exe'...
Hello! Is it possible to use the extra kernels with functions such as `RandomizedSearchCV` and `GridSearchCV`? If so, could you provide some examples? Thanks!
Tried installing via pip and got the following: ``` C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\link.ex e /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPA TH:C:\Users\abreucb\AppData\Local\Continuum\anaconda3\LIBS /LIBPATH:C:\Users\abr eucb\AppData\Local\Continuum\anaconda3\libs /LIBPATH:C:\Users\abreucb\AppData\Lo cal\Continuum\anaconda3\PCbuild\amd64 "/LIBPATH:C:\Program Files...
I took a shot at adding support for left-right models in this PR: https://github.com/mattjj/pyhsmm/pull/87. For reference, see https://github.com/hmmlearn/hmmlearn/issues/47. The idea is to fix entries in the transition matrix (and possibly...
The modifications fix the zeros present in the transition matrix and initial state probabilities to ensure the model is a left-right H(S)MM.
This fix allowed me to build and install the package on Windows using Visual Studio's cl.exe compiler. Based on https://github.com/lovell/farmhash/issues/4.