Use your own data to train your own model
Include your own forecasting models in your app in a couple of minutes.
Let Nixtla's API do all the heavy lifting. No servers to manage, no configuration, no headaches. It just works.
1. 🔑 Get your Token
Click here to authenticate yourself and get a token. You should see the following screen.
2. 👩💻 Upload your data
Upload your time series data to a cloud provider and get the url associated. Your data must have the following format. The
unique_id column identifies each time series,
ds identifies the date (or timestamp) of each observation, and finally
y contains the target variable you want to forecast for each time series.
3. 🤖 Choose your model
We have a large collection of models you can use to fit on your data.
🧠 Deep Learning
arima: AutoARIMA Model
ets(Top 5 in M3)`
4. 🚀 Train your model in your fav language.
Make a REST call. In the following example, we use Node, but you can use the programming language of your choice.
5. 🔮 Forecasts with your trained model
Once the model is fitted, you can start to produce forecasts using a REST call in two simple steps. Just follow the following instructions.
Updated 6 months ago