Examples

Here you will find some example notebooks to get more familiar with the API.

darts intro

You will find below an example Jupyter notebook containing an intro to the usage of darts.

• Introduction to darts

Multiple Time Series, Pre-trained Models and Covariates

You will find below an example Jupyter notebook showcasing models trained on multiple time series, pre-trained models, and the usage of covariates.

• Multiple Time Series, Pre-trained Models and Covariates

Data (pre) Processing

You will find below an example Jupyter notebook showcasing the data processing abilities of darts.

• Data (pre) processing using DataTransformer and Pipeline

Fast Fourier Transform

You will find below an example Jupyter notebook showcasing the usage of the FFT model

• Fast Fourier Transform Forecasting Model (FFT)

Recurrent Neural Networks

You will find below an example Jupyter notebook showcasing the usage of the RNN model

• Recurrent Neural Networks Models

Temporal Convolutional Networks

You will find below an example Jupyter notebook showcasing the usage of the TCN model

• Temporal Convolutional Network

Transformer Model

You will find below an example Jupyter notebook showcasing the usage of the Transformer model

• Transformer Model

N-BEATS Model

You will find below an example Jupyter notebook showcasing the usage of the N-BEATS model

• N-BEATS

DeepAR Model

You will find below an example Jupyter notebook showcasing the usage of the DeepAR model

• Probabilistic RNN

DeepTCN Model

You will find below an example Jupyter notebook showcasing the usage of the DeepTCN model

• DeepTCN model

Kalman Filter Model

You will find below an example Jupyter notebook showcasing the usage of the Kalman filter model

• Filtering and predicting using the darts filters

Gaussian Process Filter Model

You will find below an example Jupyter notebook showcasing the usage of the Gaussian Process filter model

• Filtering and predicting using the Gaussian Process filter

Timeseries Introduction to darts