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Fix stop_probability description
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@@ -564,7 +564,7 @@ def ransac(data, model_class, min_samples, residual_threshold,
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threshold.
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stop_probability : float in range [0, 1], optional
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RANSAC iteration stops if at least one outlier-free set of the
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training data is sampled in RANSAC. This requires to generate at least
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training data is sampled. This requires to generate at least
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N samples (iterations):
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N >= log(1 - probability) / log(1 - e**m)
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