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Improve description of stop_probability

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Johannes Schönberger
2014-10-01 15:30:27 -04:00
parent c594416b78
commit 06fd017828
1 changed files with 6 additions and 5 deletions
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skimage/measure/fit.py
+6 -5
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@@ -564,14 +564,15 @@ def ransac(data, model_class, min_samples, residual_threshold,
threshold.
stop_probability : float in range [0, 1], optional
RANSAC iteration stops if at least one outlier-free set of the
training data is sampled. This requires to generate at least
N samples (iterations):
training data is sampled with ``probability >= stop_probability``,
depending on the current best model's inlier ratio and the number
of trials. This requires to generate at least N samples (trials):
N >= log(1 - probability) / log(1 - e**m)
where the probability (confidence) is typically set to high value such
as 0.99 and e is the current fraction of inliers w.r.t. the total
number of samples.
where the probability (confidence) is typically set to a high value
such as 0.99, and e is the current fraction of inliers w.r.t. the
total number of samples.
Returns
-------