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Sophie

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ocaml-gpr-devel-1.2.1-2.mga6.x86_64.rpm

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<link title="Gpr" rel="Chapter" href="Gpr.html">
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<link title="Gpr_cov_se_fat" rel="Chapter" href="Gpr_cov_se_fat.html">
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<link title="Gpr_version" rel="Chapter" href="Gpr_version.html"><title></title>
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<li><a href="index_types.html">Index of types</a></li>
<li><a href="index_exceptions.html">Index of exceptions</a></li>
<li><a href="index_values.html">Index of values</a></li>
<li><a href="index_modules.html">Index of modules</a></li>
<li><a href="index_module_types.html">Index of module types</a></li>
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<tr><td class="module"><a href="Gpr.html">Gpr</a></td><td></td></tr>
<tr><td class="module"><a href="Gpr_interfaces.html">Gpr_interfaces</a></td><td><div class="info">
Representations of (sparse) derivative matrices
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<tr><td class="module"><a href="Gpr_utils.html">Gpr_utils</a></td><td></td></tr>
<tr><td class="module"><a href="Gpr_block_diag.html">Gpr_block_diag</a></td><td><div class="info">
Type of block diagonal matrices
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<tr><td class="module"><a href="Gpr_cov_const.html">Gpr_cov_const</a></td><td><div class="info">
Covariance of a constant function
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<tr><td class="module"><a href="Gpr_cov_lin_ard.html">Gpr_cov_lin_ard</a></td><td><div class="info">
Covariance of linear functions with Automatic Relevance Determination
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<tr><td class="module"><a href="Gpr_cov_lin_one.html">Gpr_cov_lin_one</a></td><td><div class="info">
Covariance of linear functions with one hyperparameter
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<tr><td class="module"><a href="Gpr_cov_se_iso.html">Gpr_cov_se_iso</a></td><td><div class="info">
Isotropic squared exponential covariance
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<tr><td class="module"><a href="Gpr_cov_se_fat.html">Gpr_cov_se_fat</a></td><td><div class="info">
Feature-rich ("fat") squared exponential covariance
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<tr><td class="module"><a href="Gpr_fitc_gp.html">Gpr_fitc_gp</a></td><td><div class="info">
Evaluation
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<tr><td class="module"><a href="Gpr_version.html">Gpr_version</a></td><td></td></tr>
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