Sam Lendle

Results 24 issues of Sam Lendle

From [this discussion](https://groups.google.com/forum/#!topic/julia-stats/8ngcUHpcDxQ). ``` julia julia> using DataFrames, GLM julia> srand(10001) julia> N=10000 10000 julia> distX = Normal(0,3) Normal(μ=0.0, σ=3.0) julia> X = rand(distX,N); julia> ɛ = randn(N); julia> Y...

Continuing the off topic conversation in #12 In R's cluster package, partitioning method results inherit from a common class which contains cluster assignments, silhouette information, value of the objective at...

api

The only changes since the last tagged version are to a couple of imports and to the documentation, so I don't think a new tagged version will break anything, but...

``` jlcon julia> a = [ i*j for i in 0.0:3.0, j in 0.0:4.0] 4x5 Array{Float64,2}: 0.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 3.0 4.0 0.0 2.0 4.0 6.0...

I got this error with a recent build of julia and NumericExtensions 0.6.1 using my own functors. For example: ``` jlcon julia> using NumericExtensions julia> type MySqr NumericExtensions.evaluate(::MySqr, x) =...

I think it is when there is only one `Anode`, and the array created by concatenating results of the rule functions together gets a dimension dropped. Not so minimal example:...

### 📚 The doc issue Docs for [Collator](https://pytorch.org/data/0.6/generated/torchdata.datapipes.iter.Collator.html#torchdata.datapipes.iter.Collator) leave a lot of questions. > Collates samples from DataPipe to Tensor(s) by a custom collate function What does collate mean in...

### 📚 The doc issue https://pytorch.org/data/0.6/generated/torchdata.datapipes.iter.MultiplexerLongest.html#torchdata.datapipes.iter.MultiplexerLongest The snippet in the docs ``` >>> from torchdata.datapipes.iter import IterableWrapper >>> dp1, dp2, dp3 = IterableWrapper(range(5)), IterableWrapper(range(10, 15)), IterableWrapper(range(20, 25)) >>> list(dp1.mux_longest(dp2, dp3))...

### 📚 The doc issue In the [ReadingService docs](https://pytorch.org/data/main/reading_service.html?highlight=replicable) the different sharding options and that one applies to replicable and one to non-replicable datapipes, but it's not really explained what...

This pull request adds a `@view` macro, which translates `A[a:b, c:d]` syntax to `view(A, a:b, c:d)`. Any `symbol("end")`s found in square brackets (unless they occur in nested square brackets) are...