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

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 Examples

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

• Transformer Model

N-BEATS Model Examples

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

• General model
• Interpretable model

Multivariate Examples

You will find below an example Jupyter notebook showcasing the usage of multivariate TimeSeries instances

• Multivariate Time Series

M4 Competition Exploration

You will find below an example Jupyter notebook with a benchmark of different darts models and example usage of FourTheta model

• Download and create TimeSeries
• dataset info
• evaluating methods

Timeseries Introduction to darts