Comments (1)
The prophet model has something that allows you to define a model's "floor" when using logistic growth, but I'm not sure there is a good way to generally apply such an idea to all models. Artificially constraining point estimates can lead to unforeseen biases. Furthermore, applying transformations makes it hard to determine what values should be allowed to keep the final-evaluated points below or above a certain threshold. If you have a specific idea to modify the code to allow what you are asking for, I can take a look at it. Otherwise, this isn't something I will plan to work on.
from scalecast.
Related Issues (20)
- Error with Forecaster Attribute 'validation_metric_value' HOT 2
- Return a dataframe for the forecasted future values HOT 3
- Prophet can't be found in grid.py HOT 8
- ForecastError: Need at least 1 Xvar to forecast with the svr model. HOT 3
- How to save model if I also used scalecast to find optimal transformation? HOT 6
- Got Tuple index out of range issue when calling manual_forecast() for rnn HOT 5
- Forecasting using Dates but also Categorical (Exgegenuous) Features HOT 1
- low-level output error generated RuntimeError: Detected a call to `Model.fit` inside a `tf.function`. `Model.fit is a high-level endpoint that manages its own `tf.function`. Please move the call to `Model.fit` outside of all enclosing `tf.function`s. Note that you can call a `Model` directly on `Tensor`s inside a `tf.function` like: `model(x)`. HOT 3
- Silencing Warning and printing HOT 7
- additional regressor for prophet does not work HOT 5
- Implement callbacks on the prophet model.
- Generating new dates / Frequency not understood HOT 9
- Data size impacting tune_test_forecast() and find_optimal_transformation() HOT 3
- `impute_lookback=None` does not work for default `fill_strategy='moving_seasonal_average'` HOT 1
- HWES estimator produces forecasts of much larger magnitude with statsforecast 1.5.0 HOT 2
- Xvars are not found in the current_xreg dict keys HOT 2
- scalecast starter example won't import on mac HOT 3
- How to use best model and transformer from forecaster pipeline on new data without actual y HOT 6
- Feature Imps not storing with Forecaster.tune_test_forecast HOT 3
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 scalecast.