1
Install tslearn
Install via conda using 'conda install -c conda-forge tslearn' or pip with 'python -m pip install tslearn'.
2
Import and Load Data
Import tslearn modules and load time series data from sources like UCR datasets or NumPy arrays.
3
Select Backend
Optionally select computational backend using 'from tslearn.backend import instantiate_backend'.
4
Fit a Model
Create and fit a model, for example 'from tslearn.clustering import TimeSeriesKMeans; model = TimeSeriesKMeans(n_clusters=3).fit(X)'.
5
Predict or Analyze
Use the fitted model to predict or analyze data, e.g., 'labels = model.predict(X)'.