Comments (2)
I will start working on this.
I have some questions:
- Is it the purpose of this test set to avoid training the model if some sanity check expected for each feature isn't met?
- There needs to be some log from the test's outcome save somewhere?
- Maybe we can use great expectations
best,
from toy-ml-pipeline.
Sounds good!
Is it the purpose of this test set to avoid training the model if some sanity check expected for each feature isn't met?
Yes.
There needs to be some log from the test's outcome save somewhere?
I think we can start by just failing the job if the tests don't pass.
from toy-ml-pipeline.
Related Issues (20)
- Abstract `io` to work with any s3 bucket HOT 1
- Abstract `models` to move the random forest subclass to the actual training dir HOT 1
- Add evaluation to training script
- `id` examples in the data HOT 1
- New thought but idk how to scope / refactor codebase for this
- add type hints for model class
- Make diagram HOT 1
- Write README and documentation HOT 1
- Modify training script to train model on many months of data
- Make an inference pipeline
- Improve on current model
- Better cleaning logic
- Incorporate JupyterLab functionality
- Write a notebook to explore the data
- Dockerize
- Rewrite ETL in spark
- Write a script to run all the components
- Edit readme to remove references to makefile
- Problems running the pipeline HOT 1
- .env files are missing and docker run doesn't work
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 toy-ml-pipeline.