From 761df90cebc0e0fb443c1333f7d97347cd5ebd98 Mon Sep 17 00:00:00 2001
From: Birte Kristina Friesel <birte.friesel@uos.de>
Date: Wed, 21 Feb 2024 13:10:52 +0100
Subject: rename build_dtree to build_rmt
---
lib/model.py | 8 ++++----
lib/parameters.py | 12 ++++++------
2 files changed, 10 insertions(+), 10 deletions(-)
(limited to 'lib')
diff --git a/lib/model.py b/lib/model.py
index 3d3e45d..26c4646 100644
--- a/lib/model.py
+++ b/lib/model.py
@@ -325,8 +325,8 @@ class AnalyticModel:
threshold = self.attr_by_name[name][attr].stats.std_param_lut
else:
threshold = 0
- logger.debug(f"build_dtree({name}, {attr}, threshold={threshold})")
- self.attr_by_name[name][attr].build_dtree(
+ logger.debug(f"build_rmt({name}, {attr}, threshold={threshold})")
+ self.attr_by_name[name][attr].build_rmt(
threshold=threshold,
)
else:
@@ -369,9 +369,9 @@ class AnalyticModel:
):
threshold = self.dtree_max_std[name][attr]
logger.debug(
- f"build_dtree({name}, {attr}, threshold={threshold})"
+ f"build_rmt({name}, {attr}, threshold={threshold})"
)
- self.attr_by_name[name][attr].build_dtree(
+ self.attr_by_name[name][attr].build_rmt(
threshold=threshold,
)
else:
diff --git a/lib/parameters.py b/lib/parameters.py
index 0e09610..1ae4e4c 100644
--- a/lib/parameters.py
+++ b/lib/parameters.py
@@ -1004,7 +1004,7 @@ class ModelAttribute:
)
return False
- def build_dtree(
+ def build_rmt(
self,
with_function_leaves=None,
with_nonbinary_nodes=None,
@@ -1047,16 +1047,16 @@ class ModelAttribute:
if loss_ignore_scalar and not with_function_leaves:
logger.warning(
- "build_dtree {self.name} {self.attr} called with loss_ignore_scalar=True, with_function_leaves=False. This does not make sense."
+ "build_rmt {self.name} {self.attr} called with loss_ignore_scalar=True, with_function_leaves=False. This does not make sense."
)
relevance_threshold = float(os.getenv("DFATOOL_PARAM_RELEVANCE_THRESHOLD", 0.5))
logger.debug(
- f"build_dtree(threshold={threshold}, relevance_threshold={relevance_threshold})"
+ f"build_rmt(threshold={threshold}, relevance_threshold={relevance_threshold})"
)
- self.model_function = self._build_dtree(
+ self.model_function = self._build_rmt(
self.param_values,
self.data,
with_function_leaves=with_function_leaves,
@@ -1067,7 +1067,7 @@ class ModelAttribute:
relevance_threshold=relevance_threshold,
)
- def _build_dtree(
+ def _build_rmt(
self,
parameters,
data,
@@ -1291,7 +1291,7 @@ class ModelAttribute:
child_parameters = list(map(lambda i: parameters[i], indexes))
child_data = list(map(lambda i: data[i], indexes))
assert len(child_data)
- child[value] = self._build_dtree(
+ child[value] = self._build_rmt(
child_parameters,
child_data,
with_function_leaves=with_function_leaves,
--
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