pip install repnow works, it installs rep and minimal pythonic dependencies,
several questions if you don't mind:
Why pandas. Well, actually, this is the most widespread format with named columns. Initially we also planned to use it's eval (but turned out it's quite useless). You're right that there are currently problems with sparse data (I don't know how to resolve it, because AFAIR numpy doesn't have sparse array with named columns). Ideas welcome.
RandomizedGridSearch is not implemented yet, but I have in plans to add one more ParameterGenerator to cover this.
hey all, I am currently playing around with rep and until now like it a lot!
however I think there is a bug with the NeuroLabBase classe.
If you try to train a LVQ it gets an argument 'tansf' from 'BASIC_PARAMS'. That makes perfect sense for MLP default class, but not for the LVQ, as the neurolab function
newlvq() doesn't allow for it.
you should be able to reproduce the error with:
```from rep.estimators import NeurolabClassifier
import pandas as pd
clf = NeurolabClassifier(net_type='learning-vector')
ds = pd.DataFrame()
not sure, if this channel is still active. if not, I'll open an issue on github
Possible problems: folder rights, github authorization.
/notebookswhich exists. there are several ways to avoid it: http://stackoverflow.com/questions/5377960/whats-the-best-practice-to-git-clone-into-an-existing-folder