Comments (3)
Unfortunately the functions are defined inside the notebook.
We should pull them out and make a library so we are sure those kind of errors don't happen.
from deep-ttf.
@gm-spacagna - I don';t get what you write, the issue is that:
-
you define the function with one input argument as:
cell [40]: def plot_weibull_predictions(results_df):
-
later in you call it with 2 arguments:
cell [60]: plot_weibull_predictions(grp, unit_number)
Or is there another function with 2 arguments to exists?
Otherwise thx for this cool stuff being released.
from deep-ttf.
Ok, I just removed unit_number and let pass just df... and it works.
from deep-ttf.
Related Issues (11)
- Choice of example dataset -- not censored? HOT 3
- build_data()
- error HOT 1
- Missing code in the notebook
- NaN during training HOT 1
- Error in README - Training with censored data
- Invalid Loss error when training on the GPU HOT 1
- Incompatible data shapes HOT 1
- Adding Layers HOT 3
- Fail to load your notebook HOT 1
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 deep-ttf.