Revision ff4bb90d1135f1b57db3e4f6e4a2173894aa1b73 authored by st-- on 01 December 2020, 12:56:56 UTC, committed by GitHub on 01 December 2020, 12:56:56 UTC 
Release 2.1.4 (#1613)
 
* Replace len(inducing_variable) with inducing_variable.num inducing property (#1594).

  Adds support for inducing variables with dynamically changing shape. Change usage from `len(inducing_variable)` to `inducing_variable.num_inducing` instead. Resolves #1578.

* HeteroskedasticTFPConditional should construct tensors at class-construction, not at module-import time (#1598)
2 parent s 6f7f0d8 + 60e19f8
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__init__.py
from . import multioutput
from .base import Combination, Kernel, Product, Sum
from .changepoints import ChangePoints
from .convolutional import Convolutional
from .linears import Linear, Polynomial
from .misc import ArcCosine, Coregion
from .multioutput import (
    IndependentLatent,
    LinearCoregionalization,
    MultioutputKernel,
    SeparateIndependent,
    SharedIndependent,
)
from .periodic import Periodic
from .statics import Constant, Static, White

from .stationaries import (  # isort:skip
    # base classes:
    Stationary,
    IsotropicStationary,
    AnisotropicStationary,
    # actual kernel classes:
    Cosine,
    Exponential,
    Matern12,
    Matern32,
    Matern52,
    RationalQuadratic,
    SquaredExponential,
)

Bias = Constant
RBF = SquaredExponential
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