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Ignored LLPO in the removed nodes; using 0.0 for floating point error #75

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merged 3 commits into from
Jul 8, 2024
Merged

Ignored LLPO in the removed nodes; using 0.0 for floating point error #75

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6b8ff71
Ignored LLPO in the removed nodes; using 0.0 for floating point error
May 1, 2024
f97241b
since llpo is hidden, no need to remove from removed_nodes
Jul 8, 2024
d5a96ed
removed unwanted comments
Jul 8, 2024
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17 changes: 16 additions & 1 deletion causing/model.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
from __future__ import annotations

from dataclasses import dataclass, field
from typing import Iterable, Callable
from functools import cached_property
Expand Down Expand Up @@ -82,8 +83,22 @@ def compute(
eq_inputs[:, fixed_from_ind] = fixed_vals

try:
# print(f"Comuting variable: {self.yvars[i]}")
# yhat[i] = np.array(
# [eq(*eq_in, *parameters.values()) for eq_in in eq_inputs],
# dtype=np.float64,
# )
computed_yvars = []
for eq_in in eq_inputs:
try:
computed_yvars.append(eq(*eq_in, *parameters.values()))
except FloatingPointError:
# Floating Point Error for self.yvars[i]
# Adding 0.0 to overcome this.
computed_yvars.append(0.0)

yhat[i] = np.array(
[eq(*eq_in, *parameters.values()) for eq_in in eq_inputs],
computed_yvars,
dtype=np.float64,
)
except Exception as e:
Expand Down
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