Tutorials
Contents
Tutorials#
To explore different use cases of PyePAL, we recommend checking out the example notebooks. All notebooks can be run without installation on MyBinder. In the folder you find the notebooks with pre-executed output cells. Rerunning them should take no more than a few minutes.
1. One active learning step using GPR models built with GPy
#
Topic covered#
building a pal_coregionalized GPR model using
build_coregionalized_model()
using coregionalized models with
PALCoregionalized
attributes of the
PAL
instance
2. Active learning with “measure” function and sklearn
models#
Topic covered#
using
sklearn
models withPALSklearn
selecting an initial set with
get_maxmin_samples()
plotting with
plot_jointplot()
3. Quantile regression#
Using LightGBM models with quantile loss with
PALGBDT
selecting an initial set with
get_kmeans_samples()
4. Plotting a learning curve#
Using sklearn Gaussian process models with RBF kernels
Plotting learning curves