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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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Sheldonfrith
Sheldonfrith commented Oct 1, 2021

🚀 Feature

Add information to this error message which will help an end-user actually figure out what is wrong:
RuntimeError: Expected from <= to to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)

Motivation

The error message itself told me to ask for an improvement... I cannot find any useful info on thi

julia
Weiyu-USTC
Weiyu-USTC commented Oct 30, 2021

I am trying to sort the eigenvalues of a symmetric matrix in a different order. Then with the Symmetric type of matrices, the keyword sortby can work for the function eigen() but not eigvals(). An example:

M = Symmetric([1 2 3; 2 3 4; 3 4 5])
eigen(M, sortby = x -> -x)

The above one-line code can work and output the eigens in descending order:

Eigen{Float64, Floa

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.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Oct 29, 2021
  • Python
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