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simplify doctest outputs #285

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merged 4 commits into from
Jan 5, 2024
Merged

simplify doctest outputs #285

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61646c1
simplify doctest outputs
jpreszler Dec 28, 2023
99de90f
reduce precision of prepostfit summary
jpreszler Dec 28, 2023
d337038
remove RegressionDiscontinuity summary - too problematic
jpreszler Dec 28, 2023
4a88f76
clean-up
jpreszler Dec 28, 2023
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33 changes: 7 additions & 26 deletions causalpy/pymc_experiments.py
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Original file line number Diff line number Diff line change
Expand Up @@ -128,10 +128,10 @@ class PrePostFit(ExperimentalDesign):
>>> result = cp.pymc_experiments.PrePostFit(
... sc,
... treatment_time,
... formula="actual ~ 0 + a + b + c + d + e + f + g",
... formula="actual ~ 0 + a + g",
... model=cp.pymc_models.WeightedSumFitter(
... sample_kwargs={
... "draws": 2000,
... "draws": 400,
... "target_accept": 0.95,
... "random_seed": seed,
... "progressbar": False
Expand All @@ -140,16 +140,11 @@ class PrePostFit(ExperimentalDesign):
... )
>>> result.summary() # doctest: +NUMBER
==================================Pre-Post Fit==================================
Formula: actual ~ 0 + a + b + c + d + e + f + g
Formula: actual ~ 0 + a + g
Model coefficients:
a 0.3, 94% HDI [0.3, 0.3]
b 0.0, 94% HDI [0.0, 0.0]
c 0.3, 94% HDI [0.2, 0.3]
d 0.0, 94% HDI [0.0, 0.1]
e 0.0, 94% HDI [0.0, 0.0]
f 0.1, 94% HDI [0.1, 0.2]
g 0.0, 94% HDI [0.0, 0.0]
sigma 0.2, 94% HDI [0.2, 0.3]
a 0.6, 94% HDI [0.6, 0.6]
g 0.3, 94% HDI [0.3, 0.3]
sigma 0.7, 94% HDI [0.6, 0.9]
"""

def __init__(
Expand Down Expand Up @@ -777,28 +772,14 @@ class RegressionDiscontinuity(ExperimentalDesign):
... formula="y ~ 1 + x + treated + x:treated",
... model=cp.pymc_models.LinearRegression(
... sample_kwargs={
... "draws": 2000,
... "draws": 100,
... "target_accept": 0.95,
... "random_seed": seed,
... "progressbar": False,
... },
... ),
... treatment_threshold=0.5,
... )
>>> result.summary() # doctest: +NUMBER
============================Regression Discontinuity============================
Formula: y ~ 1 + x + treated + x:treated
Running variable: x
Threshold on running variable: 0.5
<BLANKLINE>
Results:
Discontinuity at threshold = 0.91
Model coefficients:
Intercept 0.0, 94% HDI [0.0, 0.1]
treated[T.True] 2.4, 94% HDI [1.6, 3.2]
x 1.3, 94% HDI [1.1, 1.5]
x:treated[T.True] -3.0, 94% HDI [-4.1, -2.0]
sigma 0.3, 94% HDI [0.3, 0.4]
"""

def __init__(
Expand Down