Commit 57ff00a1 authored by Thibault Hallouin's avatar Thibault Hallouin
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fix typo in docstrings

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...@@ -103,7 +103,7 @@ namespace evalhyd ...@@ -103,7 +103,7 @@ namespace evalhyd
/// bootstrap: ``std::unordered_map<std::string, int>``, optional /// bootstrap: ``std::unordered_map<std::string, int>``, optional
/// Parameters for the bootstrapping method used to estimate the /// Parameters for the bootstrapping method used to estimate the
/// sampling uncertainty in the evaluation of the predictions. /// sampling uncertainty in the evaluation of the predictions.
/// Two parameters are mandatory ('n_samples' the number of random /// Three parameters are mandatory ('n_samples' the number of random
/// samples, 'len_sample' the length of one sample in number of years, /// samples, 'len_sample' the length of one sample in number of years,
/// and 'summary' the statistics to return to characterise the /// and 'summary' the statistics to return to characterise the
/// sampling distribution), and one parameter is optional ('seed'). /// sampling distribution), and one parameter is optional ('seed').
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...@@ -74,7 +74,7 @@ namespace evalhyd ...@@ -74,7 +74,7 @@ namespace evalhyd
/// bootstrap: ``std::unordered_map<std::string, int>``, optional /// bootstrap: ``std::unordered_map<std::string, int>``, optional
/// Parameters for the bootstrapping method used to estimate the /// Parameters for the bootstrapping method used to estimate the
/// sampling uncertainty in the evaluation of the predictions. /// sampling uncertainty in the evaluation of the predictions.
/// Two parameters are mandatory ('n_samples' the number of random /// Three parameters are mandatory ('n_samples' the number of random
/// samples, 'len_sample' the length of one sample in number of years, /// samples, 'len_sample' the length of one sample in number of years,
/// and 'summary' the statistics to return to characterise the /// and 'summary' the statistics to return to characterise the
/// sampling distribution), and one parameter is optional ('seed'). /// sampling distribution), and one parameter is optional ('seed').
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