Machine learning

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.

Motivation

Currently lots of C++ based unit tests are executed directly from test.sh/win-test.sh for example:
https://github.com/pytorch/pytorch/blob/0bd8d0951dcb4063c0f7552a7404bd7f0e7b6e6f/.jenkins/pytorch/test.sh#L317

Which have following drawbacks:

• It excluded those test runtime from auto-sharding/auto-categorization
• Make them subject of running on only particular platform (

Describe the issue linked to the documentation

The "20 newsgroups text" dataset can be accessed within scikit-learn using defined functions. The dataset contains some text which is considered culturally insensitive.

Suggest a potential alternative/fix

Add a section in the dataset documentation, possibly above the "Recommendation" section called "Data Considerations".
https://

This doesn't seem right:

julia> println.(stdout, [1,2,3])
ERROR: MethodError: no method matching length(::Base.TTY)
Closest candidates are:
  length(::Union{Base.KeySet, Base.ValueIterator}) at abstractdict.jl:58
  length(::Union{LinearAlgebra.Adjoint{T, S}, LinearAlgebra.Transpose{T, S}} where {T, S}) at /Users/julia/buildbot/worker/package_macos64/build/usr/share/julia/stdlib/v1.6/Li

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.