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Use pm.Data instead of deprecated pm.ConstantData #83

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Merged
michaelosthege merged 1 commit into from
Aug 13, 2025
Merged

Use pm.Data instead of deprecated pm.ConstantData #83

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10 changes: 5 additions & 5 deletions bletl/growth.py
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Original file line number Diff line number Diff line change
Expand Up @@ -352,10 +352,10 @@ def fit_mu_t(
"segment": numpy.arange(TS),
}
with pm.Model(coords=coords) as pmodel:
pm.ConstantData("known_switchpoints", t_switchpoints_known)
pm.ConstantData("t_data", t_data, dims="timepoint")
pm.ConstantData("t_segments", t_segments, dims="segment")
dt = pm.ConstantData("dt", numpy.diff(t_data), dims="segment")
pm.Data("known_switchpoints", t_switchpoints_known)
pm.Data("t_data", t_data, dims="timepoint")
pm.Data("t_segments", t_segments, dims="segment")
dt = pm.Data("dt", numpy.diff(t_data), dims="segment")

# The init dist for the random walk is where each segment starts.
# Here we center it on the user-provided mu_prior,
Expand Down Expand Up @@ -428,7 +428,7 @@ def fit_mu_t(
)
calibration_model.loglikelihood(
x=Xt,
y=pm.ConstantData("backscatter", y, dims=("timepoint",)),
y=pm.Data("backscatter", y, dims=("timepoint",)),
name=f"{replicate_id}_{calibration_model.dependent_key}",
dims="timepoint",
)
Expand Down
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