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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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tugsbayasgalan
tugsbayasgalan commented Apr 8, 2021

🐛 Bug

During our hackathon today, I ran into this weird error highlighting.

import torch
from typing import Dict

@torch.jit.script
def missing_index(x: Dict[str, int]) -> int:
    return x['dne']

missing_index({'item': 20, 'other_item': 120})

This code outputs:

     9 
     10 
---> 11 missing_index({'item': 20, 'other_item': 120})

RuntimeError: The fo
reshamas
reshamas commented Apr 20, 2021

Describe the issue linked to the documentation

Videos on contributing to scikit-learn reference were created prior to renaming the branch name, and so refer to master, not main

Suggest a potential alternative/fix

In this file, under "Video Resources" section: https://github.com/scikit-learn/scikit-learn/blob/d01014c3198aafa336d9f8ed306f292d68c4a886/doc/developers/contributing.r

julia
fonsp
fonsp commented Mar 25, 2021

Julia 1.6.0-rc3

runtests.jl:

using Test

d = Dict("hello" => "world")
@test keys(d) == ["hello"]

Test output:

     Testing Running tests...
Test Failed at /Users/fons/Documents/Pluto.jl/test/runtests.jl:4
  Expression: keys(d) == ["hello"]
   Evaluated: ["hello"] == ["hello"]
ERROR: LoadError: There was an error during testing
in expression starting at /Users/

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  • Updated Feb 18, 2021
  • Python
trivialfis
trivialfis commented Dec 13, 2020

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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