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Description:
sigkerax 0.2.1
Sigkerax
Sigkerax is a JAX library for signature kernels. Features include:
Custom static kernels (at time of writing only linear and RBF kernels are implemented);
All the benefits of working with JAX: autodiff, autoparallelism, GPU/TPU support etc.
Installation
pip install sigkerax
Requires Python 3.8+, JAX 0.4.11+.
Documentation
Coming soon...
Quick example
Lineax can solve a least squares problem with an explicit matrix operator:
import jax
from sigkerax.sigkernel import SigKernel
key1, key2, key3 = jax.random.split(jax.random.PRNGKey(0), num=3)
batch_X, batch_Y, length_X, length_Y, channels = 20, 50, 100, 200, 10
X = 1e-1 * jax.random.normal(key1, shape=(batch_X, length_X, channels)).cumsum(axis=1)
Y = 1e-1 * jax.random.normal(key2, shape=(batch_Y, length_Y, channels)).cumsum(axis=1)
scales = jax.random.exponential(key3, shape=(10,))
signature_kernel = SigKernel(refinement_factor=2, static_kernel_kind="linear", scales=scales, add_time=False)
signature_kernel_matrix = signature_kernel.kernel_matrix(X, Y)
Other signature libraries in JAX
Signax: signatures.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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