Open martincousi opened 6 years ago
Ok it appears that passing this session_config
parameter does not do anything, at least, on my machine. So, it is not needed
I was able to use Parallel
in the end by:
numpy.float32
value for init_std
(otherwise I sometime got an error)X
to $|x_{ij}| <= 1$ (otherwise I got an error when using a high order
)It appears that passing a numpy.float32
value is not necessary the parameter reg
.
Now, I know that my question is highly problem dependent but what are good range of values when doing a randomized search over the different parameters? My problem contains about 400 observations and I see that there are several parameters that could be tuned such as order
, rank
, optimizer
(and its parameters), reg
, etc. It even appears that batch_size
and n_epochs
are somewhat linked.
I need to run multiple
TFFMRegressor
objects injoblib
Parallel
. To do so, I passed the following parameter:However, my cores do not seem to run whenever I use
n_jobs=2
or higher inParallel
; my python notebook cell just hangs, never completes and my processors are not used. Atn_jobs=1
, everything is running fine. What am I missing? Would I better usepolylearn
instead for this kind of task?