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Drop tensorflow backend #122

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Merged
frazane merged 1 commit into from
May 4, 2026
Merged

Drop tensorflow backend #122

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -33,7 +33,7 @@ The scoring rules available in `scoringrules` include, but are not limited to, t
## Features

- **Fast** computation of several probabilistic univariate and multivariate verification metrics
- **Multiple backends**: support for numpy (accelerated with numba), jax, pytorch and tensorflow
- **Multiple backends**: support for numpy (accelerated with numba), jax and pytorch
- **Didactic approach** to probabilistic forecast evaluation through clear code and documentation

## Installation
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2 changes: 1 addition & 1 deletion docs/index.md
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Expand Up @@ -53,7 +53,7 @@ reference.md
## Features

- **Fast** computation of several probabilistic univariate and multivariate verification metrics
- **Multiple backends**: support for numpy (accelerated with numba), jax, pytorch and tensorflow
- **Multiple backends**: support for numpy (accelerated with numba), jax and pytorch
- **Didactic approach** to probabilistic forecast evaluation through clear code and documentation

## Installation
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3 changes: 0 additions & 3 deletions pyproject.toml
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Expand Up @@ -41,9 +41,6 @@ jax = [
torch = [
"torch>=2.4.1",
]
tensorflow = [
"tensorflow>=2.17.0",
]

[dependency-groups]
dev = [
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4 changes: 1 addition & 3 deletions scoringrules/backend/registry.py
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Expand Up @@ -4,7 +4,6 @@
from .base import ArrayBackend
from .jax import JaxBackend
from .numpy import NumbaBackend, NumpyBackend
from .tensorflow import TensorflowBackend
from .torch import TorchBackend

if tp.TYPE_CHECKING:
Expand All @@ -14,7 +13,6 @@
"jax": JaxBackend,
"numpy": NumpyBackend,
"torch": TorchBackend,
"tensorflow": TensorflowBackend,
"numba": NumbaBackend,
}

Expand Down Expand Up @@ -46,7 +44,7 @@ def available_backends(self):
return avail_backends

def register_backend(self, backend_name: "Backend"):
"""Register a backend. Currently supported backends are numpy, numba, jax, torch and tensorflow."""
"""Register a backend. Currently supported backends are numpy, numba, jax, and torch."""
if backend_name not in self.available_backends:
raise BackendNotAvailable(
f"The backend '{backend_name}' is not available. "
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