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Implement specialized Hurdle distribution #7810

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3f7efa1
Implement specialized Hurdle class
ricardoV94 Jun 4, 2025
3944eb3
.WIP model memoization
ricardoV94 Jun 11, 2025
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12 changes: 7 additions & 5 deletions pymc/backends/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,11 +30,9 @@
)

import numpy as np
import pytensor

from pymc.backends.report import SamplerReport
from pymc.model import modelcontext
from pymc.pytensorf import compile
from pymc.util import get_var_name

logger = logging.getLogger(__name__)
Expand Down Expand Up @@ -171,10 +169,14 @@ def __init__(

if fn is None:
# borrow=True avoids deepcopy when inputs=output which is the case for untransformed value variables
fn = compile(
inputs=[pytensor.In(v, borrow=True) for v in model.value_vars],
outputs=[pytensor.Out(v, borrow=True) for v in vars],
fn = model.compile_fn(
inputs=model.value_vars,
outputs=vars,
on_unused_input="ignore",
random_seed=False,
borrow_inputs=True,
borrow_outputs=True,
wrap_point_fn=False,
)
fn.trust_input = True

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