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Copy file name to clipboardExpand all lines: docs/src/using-turing/guide.md
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@@ -92,7 +92,7 @@ For detailed information on the samplers, please review Turing.jl's [API]({{site
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Using this syntax, a probabilistic model is defined in Turing. The model function generated by Turing can then be used to condition the model onto data. Subsequently, the sample function can be used to generate samples from the posterior distribution.
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In the following example, the defined model is conditioned to the date (arg*1 = 1, arg*2 = 2) by passing (1, 2) to the model function.
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In the following example, the defined model is conditioned to the data (arg*1 = 1, arg*2 = 2) by passing (1, 2) to the model function.
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