Current implementation of Go binding can not specify options.

GPUOptions struct is in internal package. And go generate doesn't work for protobuf directory. So we can't specify GPUOptions for NewSession.

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

The array API specification stipulates four numeric constants:

• e
• inf
• nan
• pi

PyTorch currently supports none.

cc @mruberry @rgommers @pmeier

The documentation for sklearn.feature_selection.RFE is something wrong.
Some of the method descriptions are missing the end.

https://github.com/scikit-learn/scikit-learn/blob/15a949460dbf19e5e196b8ef48f9712b72a3b3c3/sklearn/feature_selection/_rfe.py#L172-L184

<img width="1059" alt="スクリーンショット 2021-06-16 3 05 56" src="https://user-images.githubusercontent.com/19372617/122103149-4037be80-c

I received this error message:

  MethodError: convert(::Type{Union{}}, ::Vector{Float32}) is ambiguous. Candidates:
    convert(::Type{T}, a::AbstractArray) where T<:Array in Base at array.jl:532
    convert(T::Type{var"#s79"} where var"#s79"<:BitArray, a::AbstractArray) in Base at bitarray.jl:577
    convert(T::Type{var"#s832"} where var"#s832"<:SparseArrays.SparseVector, m::AbstractVect

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.