Feature #284: === Fit ===
Fitting: implement boostrapping fit strategy to deal with local minima during the fit
|Status:||Rejected||Start date:||31 Oct 2012|
#9 Updated by pospelov almost 7 years ago
- Status changed from Backlog to Rejected
We have implemented already the possibility to use mixture of stochastic (Genetic) and gradient descent algorithms.
We have implemented also the possibility to resample input real data.
Now one have to investigate in details objective functions.
This issue I suggest to drop, since it is more in the line of long term ideas.