Machine learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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🐛 Bug
After freezing a traced model, I expect all unnecessary tuple operations to be removed, but some remain.
To Reproduce
https://colab.research.google.com/gist/dreiss/0414c8e294e482e8a07f98990e7130fc/freezetuple.ipynb
Expected behavior
No TupleConstruct and TupleUnpack nodes.
Environment
See notebook. It reproduces on nightly as well.
Additional context
Estimator has too many undocumented attributes:
- test_fit_docstring_attributes[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit]
- test_fit_docstring_attributes[Lasso-Lasso]
- test_fit_docstring_attributes[LarsCV-LarsCV]
- test_fit_docstring_attributes[Birch-Birch]
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julia> firstindex(enumerate(1:3))
ERROR: MethodError: no method matching firstindex(::Base.Iterators.Enumerate{UnitRange{Int64}})
Closest candidates are:
firstindex(::Any, ::Any) at abstractarray.jl:366
firstindex(::Pair) at pair.jl:63
firstindex(::AbstractChar) at char.jl:195
...
Shouldn't this be defined? The return of iterate(enumerate...) is a tuple of an index and t
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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.
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