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

Improve readability #375

Open
wants to merge 1 commit into
base: dev
Choose a base branch
from
Open

Improve readability #375

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.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion app/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ Firstly, we will create a conda environment called *lazypredict*
```
conda create -n lazypredict python=3.7.9
```
Secondly, we will login to the *lazypredict* environement
Secondly, we will login to the *lazypredict* environment
```
conda activate lazypredict
```
Expand Down
4 changes: 2 additions & 2 deletions lazypredict/Supervised.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,7 @@ class LazyClassifier:
For the liblinear and lbfgs solvers set verbose to any positive
number for verbosity.
ignore_warnings : bool, optional (default=True)
When set to True, the warning related to algorigms that are not able to run are ignored.
When set to True, the warning related to algorithms that are not able to run are ignored.
custom_metric : function, optional (default=None)
When function is provided, models are evaluated based on the custom evaluation metric provided.
prediction : bool, optional (default=False)
Expand Down Expand Up @@ -429,7 +429,7 @@ class LazyRegressor:
For the liblinear and lbfgs solvers set verbose to any positive
number for verbosity.
ignore_warnings : bool, optional (default=True)
When set to True, the warning related to algorigms that are not able to run are ignored.
When set to True, the warning related to algorithms that are not able to run are ignored.
custom_metric : function, optional (default=None)
When function is provided, models are evaluated based on the custom evaluation metric provided.
prediction : bool, optional (default=False)
Expand Down