Lorenzo Stella
Lorenzo Stella
Benchmarks being added in #126
What does `@simd` exactly do? The following remark in the Julia documentation makes me suspicious for some reason: > This feature is experimental and could change or disappear in future...
I think the issue title here is misleading: what is needed is (warning: pseudocode follows) `maximum(norm(X[i,:], 1) for i in 1:size(X, 1))`
@nantonel the best would be to have `opnorm(X, Inf)` directly
> So instead of updating this package I'd rather put the effort on moving the demos to ProximalAlgorithms I definitely agree on this: all the demos would fit nicely in...
@daniel-vainsencher they are indeed
It's a conscious decision. Under the assumption that the predicted distribution (`forecast`) is what `target` is sampled from, then: - the mean of the distribution minimizes the mean squared error...
For batches, I was really thinking about only having the output be a stream of "batch forecasts" (see #2286), but keeping the input a `Dataset` just like `.predict`. The reason...
@jaheba in practice, we would provide a way to associate a semantics to each attribute in the data, and have a transformation set up automatically that maps the data into...
> Generally, I think evaluation code should be strictly separate from model (estimator/predictor) code I agree, but I guess the idea is to still keep the code separate by having...