Comments (1)
Hey!
This problem may occur if repository dataset is corrupted(due to GitHub LFS restrictions it seems that uploaded file in repository is corrupted).
Make sure, that you download original dataset from here: URL categorization dataset file and declare this dataset path in config.py file in MAIN_DATASET_PATH variable.
It is worth to mention, that I refactored all the code so let me know if this problem still remains unsolved.
from url-categorization-using-machine-learning.
Related Issues (12)
- Found array with 0 sample(s) (shape=(0,)) while a minimum of 1 is required. HOT 2
- RuntimeError HOT 1
- Other ML learning algorithm source code HOT 1
- I couldn't run it! HOT 1
- Dataset is too old
- No main.py file HOT 3
- Error: Executing construct_features.py HOT 4
- Url-Categorization HOT 4
- Incorrect category for CNN HOT 2
- Additional Model Training HOT 1
- RequestsDependencyWarning HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from url-categorization-using-machine-learning.