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BART: improve sampling #5229

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Nov 30, 2021
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5 changes: 0 additions & 5 deletions pymc/bart/bart.py
Original file line number Diff line number Diff line change
Expand Up @@ -67,9 +67,6 @@ class BART(NoDistribution):
k : float
Scale parameter for the values of the leaf nodes. Defaults to 2. Recomended to be between 1
and 3.
response : str
How the leaf_node values are computed. Available options are ``constant`` (default),
``linear`` or ``mix``.
split_prior : array-like
Each element of split_prior should be in the [0, 1] interval and the elements should sum to
1. Otherwise they will be normalized.
Expand All @@ -84,7 +81,6 @@ def __new__(
m=50,
alpha=0.25,
k=2,
response="constant",
split_prior=None,
**kwargs,
):
Expand All @@ -103,7 +99,6 @@ def __new__(
m=m,
alpha=alpha,
k=k,
response=response,
split_prior=split_prior,
),
)()
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