Comments (3)
Answering this very late, apologies, but can you be a bit more specific? What would you like to know?
from pm-prophet.
Essentially, this is what I would (and, I imagine, other future contributors as well) like to see:
- What kind of time series models you are planning to implement (have ideas for already, are easy extensions of the existing codebase, etc), and
- What kind of time series models do you think are possible, but would require some creativity to implement (as an example, multiplicative models vs. the additive model setup currently in place)?
What I think would be most beneficial, for a wide-scoped project like pm-prophet, is a whishlist akin to what Stan has, for example. A description of the short-term and long-term goals would orient contributors in the right direction.
from pm-prophet.
Answering & closing.
What kind of time series models you are planning to implement (have ideas for already, are easy extensions of the existing codebase, etc)
In this current repository I am not planning to implement things other than the prophet model. I believe every project should have a delimited scope.
What kind of time series models do you think are possible, but would require some creativity to implement (as an example, multiplicative models vs. the additive model setup currently in place)?
Multiplicative seasonality is already implemented. The only main missing thing from the original prophet is Logistic growth as you can read from the readme.
I don't believe this project has a scope as wide as stan or pymc :) I will nevertheless add a wiki page as it seems like a good choice (thanks for the tip).
from pm-prophet.
Related Issues (20)
- Would you like to consider adding this to pymc-learn and pymc3-models? HOT 1
- UnboundLocalError: local variable 'w' referenced before assignment HOT 2
- AttributeError: 'str' object has no attribute 'value' HOT 2
- AttributeError when fitting example model HOT 1
- Is GPU included? HOT 1
- Non-Linear Forecasting with pm-prophet HOT 5
- auto_changepoint issue HOT 1
- prediction dependent on the order of the added sesonality HOT 3
- time series now/forecasting with distributed data HOT 1
- Example not working on Pandas 1.0 HOT 6
- Categorical Variables HOT 7
- do you have example to use your code like prophet with multiple regressores ? HOT 1
- fourier_series coefficients HOT 12
- Multiple extra data
- PyPI repository is not updated
- Heteroskedasticity
- [Feature Request] Simplify API for regressors
- [Feature Request] Ability to customise priors for each regressor
- AttributeError: 'DataFrame' object has no attribute 'ix' HOT 1
- PyMC3 has been renamed PyMC
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 pm-prophet.