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.

EDIT: The failure is due to update in Python 3.10 behaviour.

The following OpInfo tests fail locally (with Python 3.10) but pass on CI for gradient op

https://github.com/pytorch/pytorch/blob/97f29bda59deab8c063cf01f0a8ff4321b93c55e/torch/testing/_internal/common_methods_invocations.py#L8277-L8282

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This issue is reserved for the Data Umbrella Africa & Middle East Sprint on October 23, 2021 as a good first issue. For non-sprint contributors, please wait till October 30, 2021 to work on this issue.

Note

For those who are running into "YD01: No Yields section found", it could be the cv parameter. Update `An iterable yielding (train, test) sp

A Tuple with symbol contents no longer displays the contents as symbols with show, but as variable names - without the colon. Val still prints symbols with colons.

Julia 1.6:

julia> Tuple{:A,:B}
Tuple{:A, :B}

julia> Val{:A}
Val{:A}

Julia 1.7

julia> Tuple{:A,:B}
Tuple{A, B} # << This has no colons

julia> Val{:A}
Val{:A}

Probably we want the 1

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.