Comments (3)
Hi,
I think we should have versioned docs so that you can select the specific version you have installed and check the API for that.
Otherwise things get messy if we change API again and now have to document the 2 old methods and so so on.
We'll also try to be more careful next time we break the API and at least raise an informative error.
About the changes I'll copy my message to another user who was also surprised by the API changing:
Because we're still in an early state (version <1) the API is still subject to change. We're trying to get it right before we freeze it.
If you are doing production or sensitive work we suggest you pin your dependency versions in a >=0.x, <0.x+1 range, which will include only bugfixes but no breaking changes
from pymc-marketing.
Done! The docs for 0.1.1 version is available at https://www.pymc-marketing.io/en/0.1.1/
Thanks for bringing the issue up @jcfisher
from pymc-marketing.
That makes sense -- versioned docs would be fantastic. And I definitely understand about the API changing in early versions. If nothing else, hopefully having this issue open will help someone else sort out the error a little bit more easily. Let me know if I can help, and thanks again.
from pymc-marketing.
Related Issues (20)
- Please can you add Hierarchical model for MMM HOT 2
- After 0.2.0 update an error in the fit function. Is there a new definition to run the fit? HOT 1
- Index page still shows old model API HOT 1
- `plt.Axes` argument in CLV plots HOT 2
- Plots for CLV model datasets HOT 11
- Data validation errors in MMM due to pandas index HOT 10
- DelayedSaturatedMMM.load() error matching model ID HOT 5
- Error in compute_mean_contributions_over_time HOT 1
- Add `log-likelihood` Attribute to fitted `InferenceData` object HOT 3
- Conda package at 0.1.1 HOT 3
- CLV plotting module image check HOT 2
- The quick start for MMM does not work HOT 6
- Speedup slow CI tests
- Incredible Slow Inference Button - MMM Example HOT 4
- Add `kwargs` to `fit` method in `ModelBuilder` for prior and posterior predictive sampling steps. HOT 1
- Questions : Individual priors HOT 4
- Doc formatting is broken in various places/ways HOT 1
- how to treat zero cost channels and attribution hints HOT 1
- `GammaGammaModel.expected_customer_lifetime_value` fails when mixing MAP and posterior sampling HOT 6
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 pymc-marketing.