Comments (3)
https://github.com/winedarksea/AutoTS/blob/master/extended_tutorial.md
If you could be more specific, that would be helpful
from autots.
I want to predict confidence intervals for data 0.95 and 0.90
How to split data for test and train in autots
from autots.
If you read the documentation and the docstrings you will see answers to this...
For prediction interval, pass prediction_interval=0.95
(or whatever you desire) to the AutoTS() init. Then access the results:
prediction = model.predict()
upper_forecasts_df = prediction.upper_forecast
lower_forecasts_df = prediction.lower_forecast
and for train/test split, this is also clearly discussed in the documentation.
model = AutoTS(... other parameters...
num_validations=2,
validation_method='even',
)
Read the extended_tutorial for a discussion of different train/test split options.
from autots.
Related Issues (20)
- Limited Holiday Calendar Functionality in autots FBProphet for Time Series Prediction HOT 3
- model.predict gives different forecast depending on forecast_length HOT 5
- GluonTS not using all available (CPU) resources HOT 14
- Use only one variable as the target but supply many features to models. HOT 9
- Save best model for each serie instead of best model overall HOT 2
- Running out of RAM in 0.6.3 HOT 6
- adding autos package to https://repo.anaconda.com/pkgs/snowflake/ HOT 2
- In AutoTS class, custom dataframe is not being picked as initial_template HOT 2
- GluonTS model 'hangs' (on second template?) HOT 2
- Theta Template Eval Error HOT 3
- Fatal error on SeasonalityMotifImputer transformer HOT 2
- Additional metrics HOT 1
- if forecast_length == 'self': HOT 1
- AutoTS multiple variables HOT 5
- import_template erro Expecting value: line 1 column 1 (char 0) HOT 4
- support for forecast issue time HOT 1
- Supply Multiplevariate data to Predict() HOT 1
- Template Eval Error for most of the powerful and effective models HOT 3
- Error on HolidayTransformer since 0.6.12 HOT 3
- DMD template is in incorrect format and causes JSONDecoder exception. HOT 4
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 autots.