Skip to content

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.

Here are 35,653 public repositories matching this topic...

le-horizon
le-horizon commented Nov 14, 2019

Should be value_input?

Thank you for submitting a TensorFlow documentation issue. Per our GitHub
policy, we only address code/doc bugs, performance issues, feature requests, and
build/installation issues on GitHub.

The TensorFlow docs are open source! To get involved, read the documentation
contributor guide: https://www.tensorflow.org/community/contribute/docs

URL(s) with the issue

janwendt
janwendt commented Oct 16, 2019

I could not find anything in the docs about how to handle different frequencies of time series. I have a Dataset A with monthly data that i want to use to predict the values from Dataset B that contains quarterly based data. So the target value e.g. quarter 1 is based on the values from month 1-3.

Dataset A (Features):

| Month | Value1 | Value2 | Value3 |
| ------------- | ------------- |

jnothman
jnothman commented Nov 1, 2019

We should be using Sphinx's versionadded and versionchanged directives to indicate when classes, functions, methods and parameters are added or modified in their semantics. We are not very good at ensuring this labelling is done.

Towards the upcoming release of v0.22, it would be useful if some contributors (or sprinters) scoured the change log and identified whether any added/changed parameter

yf225
yf225 commented Sep 30, 2019

Context

We would like to add torch::nn::functional::normalize to the C++ API, so that C++ users can easily find the equivalent of Python API torch.nn.functional.normalize.

Steps

  • Add torch::nn::NormalizeOptions to torch/csrc/api/include/torch/nn/options/normalization.h (add this file if it doesn’t exist), which should include the following parameters (based on https://pytorch.
wincentbalin
wincentbalin commented Jul 16, 2018

Short description

I am trying to train Tesseract on Akkadian language. The language-specific.sh script was modified accordingly. When converting the training text to TIFF images, the text2image program crashes.

Environment

  • Tesseract Version: 3.04.01
  • Commit Number: the standard package in Ubuntu, package version 3.04.01-4, commit unknown
  • Platform: Linux ubuntu
julia
Keno
Keno commented Sep 17, 2019

Currently we have:

help?> StatsBase.Histogram
  No documentation found.

  StatsBase.Histogram is of type UnionAll.

  Summary
  ≡≡≡≡≡≡≡≡≡

  struct UnionAll <: Type{T}

  Fields
  ≡≡≡≡≡≡≡≡

  var  :: TypeVar
  body :: Any

  Supertype Hierarchy
  ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡

  UnionAll <: Type{T} <: Any

which is true, but also utterly useless. We should just print the

You can’t perform that action at this time.