8000 clarify uniform weight in forest docstrings · scikit-learn/scikit-learn@bef26bd · GitHub
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clarify uniform weight in forest docstrings
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‎sklearn/ensemble/forest.py

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@@ -796,7 +796,9 @@ class RandomForestClassifier(ForestClassifier):
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min_weight_fraction_leaf : float, optional (default=0.)
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The minimum weighted fraction of the sum total of weights (of all
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the input samples) required to be at a leaf node.
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the input samples) required to be at a leaf node. Samples have
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equal weight when sample_weight is not provided, but
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min_samples_leaf is more efficient.
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max_leaf_nodes : int or None, optional (default=None)
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Grow trees with ``max_leaf_nodes`` in best-first fashion.
@@ -1001,7 +1003,9 @@ class RandomForestRegressor(ForestRegressor):
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min_weight_fraction_leaf : float, optional (default=0.)
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The minimum weighted fraction of the sum total of weights (of all
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the input samples) required to be at a leaf node.
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the input samples) required to be at a leaf node. Samples have
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equal weight when sample_weight is not provided, but
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min_samples_leaf is more efficient.
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max_leaf_nodes : int or None, optional (default=None)
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Grow trees with ``max_leaf_nodes`` in best-first fashion.
@@ -1166,7 +1170,9 @@ class ExtraTreesClassifier(ForestClassifier):
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min_weight_fraction_leaf : float, optional (default=0.)
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The minimum weighted fraction of the sum total of weights (of all
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the input samples) required to be at a leaf node.
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the input samples) required to be at a leaf node. Samples have
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equal weight when sample_weight is not provided, but
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min_samples_leaf is more efficient.
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max_leaf_nodes : int or None, optional (default=None)
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Grow trees with ``max_leaf_nodes`` in best-first fashion.
@@ -1370,7 +1376,9 @@ class ExtraTreesRegressor(ForestRegressor):
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min_weight_fraction_leaf : float, optional (default=0.)
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The minimum weighted fraction of the sum total of weights (of all
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the input samples) required to be at a leaf node.
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the input samples) required to be at a leaf node. Samples have
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equal weight when sample_weight is not provided, but
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min_samples_leaf is more efficient.
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max_leaf_nodes : int or None, optional (default=None)
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Grow trees with ``max_leaf_nodes`` in best-first fashion.
@@ -1521,7 +1529,9 @@ class RandomTreesEmbedding(BaseForest):
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min_weight_fraction_leaf : float, optional (default=0.)
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The minimum weighted fraction of the sum total of weights (of all
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the input samples) required to be at a leaf node.
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the input samples) required to be at a leaf node. Samples have
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equal weight when sample_weight is not provided, but
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min_samples_leaf is more efficient.
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max_leaf_nodes : int or None, optional (default=None)
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Grow trees with ``max_leaf_nodes`` in best-first fashion.

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