gpflow

library2.10.0pypypi✓ verified 83d ago

GPflow is a Gaussian process library in TensorFlow, designed for GP regression and advanced GP models. It provides a flexible, composable framework for building and training GP models using TensorFlow's automatic differentiation. Current version 2.10.0 targets TensorFlow 2.x and has a moderate release cadence (major/minor roughly every few months).

ai-ml data

pip install gpflow

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · GPFLOW

gpflow

ai-mlpythonv2.10.0

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

gpflow.kernels

✓ from gpflow import kernels

✗ import gpflow.kernels

In GPflow 2.x, submodules are not automatically imported; use `from gpflow import kernels` or import explicitly.

GPR

✓ from gpflow.models import GPR

SVGP

✓ from gpflow.models import SVGP

Basic GP regression with GPflow: create data, build GPR model with SquaredExponential kernel, optimise hyperparameters, and predict.

import gpflow import numpy as np import tensorflow as tf # Create synthetic data X = np.random.randn(20, 1) Y = np.sin(X) + 0.1 * np.random.randn(20, 1) # Build model k = gpflow.kernels.SquaredExponential() m = gpflow.models.GPR(data=(X, Y), kernel=k, noise_variance=1.0) # Optimise opt = gpflow.optimizers.Scipy() opt.minimize(m.training_loss, m.trainable_variables) # Predict Xtest = np.linspace(-3, 3, 100)[:, None] mean, var = m.predict_f(Xtest) print("Predictions:", mean.numpy().flatten()[:5])

Debug

Known issues

breakingGPflow 2.x is a major rewrite with breaking changes from 1.x. The API, module structure, and TensorFlow version requirements (TF 2.x) are different. Models built for GPflow 1.x will not work without modification.

fix

Migrate code: use `from gpflow import ...` (not `import gpflow as gp` submodules), replace `gpflow.kernels.RBF` with `gpflow.kernels.SquaredExponential`, and update to TF 2.x.

affects: 1.x -> 2.0+

deprecatedGPflow 2.10.0 still supports TensorFlow 2.x, but future versions may require TensorFlow 2.10+ or higher. Check compatibility matrix.

fix

Keep TensorFlow updated and pin versions if needed.

affects: >=2.0

gotchaWhen using `gpflow.models.GPR` (or other models), the training loss is a TensorFlow tensor, not a scalar. Use `.numpy()` to get a Python float if needed.

fix

Call `m.training_loss.numpy()` to get the value as a float.

affects: >=2.0

Errors

Common errors & fixes

AttributeError: module 'gpflow' has no attribute 'kernels'

GPflow 2.x lazy-loads submodules; you must import them explicitly.

fix

Use `from gpflow import kernels` instead of `import gpflow.kernels`.

TypeError: Expected float64, got float32

GPflow defaults to float64; TensorFlow may produce float32 from default settings.

fix

Cast input data: `tf.cast(X, tf.float64)` or set global default to float64.

Upgrade

Version history

2.10.0latest on PyPI · released May 29, 2025

Audit

Dependencies

tensorflowrequiredCore backend for GPflow; must be installed separately (TF 2.x).

tensorflow-probabilityoptionalOptional but recommended for certain models and utilities.

Agent activity

11 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/GPflow/GPflow ↗

packagehttps://pypi.org/project/gpflow/ ↗

homepagehttps://www.gpflow.org ↗

docshttps://gpflow.github.io/GPflow/ ↗