Denis/Yury,
I updated my previous post slightly,
For clarity, Please simply respond to this post and disregard previous.
Upon review of your previous comments, please respond to my feedback :
1. I believe GA Grid can be implemented in separate package within ML
library and operate independently of other algorithms for use cases where
/only /GA is required.
2. I am still not totally clear concerning Trainer and Model relationship
in the ML API.
a. Since org.apache.ignite.ml.Trainer and
org.apache.ignite.ml.Model
are not available, when is it planned to be available?
Please advise when available.
b. Based on Yury's comments:
"...For both concepts we have API: org.apache.ignite.ml.Model and
org.apache.ignite.ml.Trainer. So if we want to use genetic algoritm for
model trainig we should implement specific trainer for each ML algorithms
like lin regression, kmean, decision tree and others.
For example let`s take a look on lin regression. Currently we have OLS
(Ordinary Least Squares) multiple linear regression. For this regression we
will have OLSRegressionModel and at least two possible trainers: analytical
trainer (a solution of matrix equation, analytical solution) and gradient
descent (numerical solution). And also we could implement GA trainer which
will use GA Grid... "
Do org.apache.ignite.ml.Trainer generate org.apache.ignite.ml.Models?
This part is still not clear..
Please advise and clarify accordingly.
Best,
Turik
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