Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

typos #541

Merged
merged 1 commit into from May 19, 2020
Merged

typos #541

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Expand Up @@ -27,7 +27,7 @@
MLJ (Machine Learning in Julia) is a toolbox written in Julia
providing a common interface and meta-algorithms for selecting,
tuning, evaluating, composing and comparing machine model
implementations written in Julia and other languages. MLJ is released
learning models written in Julia and other languages. MLJ is released
under the MIT licensed and sponsored by the [Alan Turing
Institute](https://www.turing.ac.uk/).

Expand Down
4 changes: 2 additions & 2 deletions docs/src/index.md
View file
Open in desktop
Expand Up @@ -8,8 +8,8 @@ A Machine Learning Framework for Julia

MLJ (Machine Learning in Julia) is a toolbox written in Julia
providing a common interface and meta-algorithms for selecting,
tuning, evaluating, composing and comparing machine model
implementations written in Julia and other languages. MLJ is released
tuning, evaluating, composing and comparing machine learning models
written in Julia and other languages. MLJ is released
under the MIT licensed and sponsored by the [Alan Turing
Institute](https://www.turing.ac.uk/).

Expand Down
2 changes: 1 addition & 1 deletion paper/paper.md
View file
Open in desktop
Expand Up @@ -62,7 +62,7 @@ competitions such as Kaggle.

MLJ (Machine Learning in Julia) [@MLJ] is a toolbox written in Julia
that provides a common interface and meta-algorithms for selecting,
tuning, evaluating, composing and comparing machine model
tuning, evaluating, composing and comparing machine learning model
implementations written in Julia and other languages. More broadly,
the MLJ project hopes to bring cohesion and focus to a number of emerging
and existing, but previously disconnected, machine learning algorithms
Expand Down