이 문서는 틀:NumBlk에 대한 설명입니다. 여기에는 틀 사용법, 분류 등 원래의 틀 문서에는 포함되지 않는 내용을 담고 있습니다.
This template creates a numbered block which is usually used to number mathematical formulae. This template can be used together with {{EquationRef}} and {{EquationNote}} to produce nicely formatted numbered equations if a back reference to an equation is wanted.
Parameters {{{1}}}, {{{2}}}, and {{{3}}} of this template are required. In addition, there are three optional parameters {{{RawN}}}, {{{LnSty}}} and {{{Border}}}.
{{{1}}}: Specify indentation. The more colons (:) you put, the further indented the block will be, up to a limit of 20. This parameter can be empty if no indentation is needed.
{{{2}}}: The body or content of the block.
{{{3}}}: Specify the block number.
{{{RawN}}}: If a non-empty non-whitespace value, no extra formatting will be applied to the block number.
{{{LnSty}}}: Specify the line style.
{{{Border}}}: If set, put a box around the equation. (Experimental.)
Numbered blocks should be able to be placed around images that take up space on the left or right side of the screen. To ensure numbered block has access to the entire line, consider using a {{clear}}-like template.
To illustrate, consider the example:
마크업
[[Image:Bnet_fan2.png|frame|right|Fig.1: Bayesian Network representation of Eq.(6)]]
[[Image:Bnet_fan2.png|frame|left|Fig.1: Bayesian Network representation of Eq.(6)]]
<br><br>A Bayesian network (or a belief network) is a probabilistic graphical model that represents a set of
variables and their probabilistic independencies. For example, a Bayesian network could represent the
probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute
the probabilities of the presence of various diseases.
{{NumBlk|1=:|2=<math>
P(a, b, \lambda) = P(a| \lambda) P(b | \lambda) P(\lambda)\,
</math>,|3='''Eq.(6)'''|RawN=.}}
렌더링 결과
A Bayesian network (or a belief network) is a probabilistic graphical model that represents a set of
variables and their probabilistic independencies. For example, a Bayesian network could represent the
probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute
the probabilities of the presence of various diseases.
,
Eq.(6)
If it is desirable for the numbered block to span the entire line, a {{clear}} should be placed before it.
마크업
[[Image:Bnet_fan2.png|frame|right|Fig.1: Bayesian Network representation of Eq.(6)]]
[[Image:Bnet_fan2.png|frame|left|Fig.1: Bayesian Network representation of Eq.(6)]]
<br><br>A Bayesian network (or a belief network) is a probabilistic graphical model that represents a set of
variables and their probabilistic independencies. For example, a Bayesian network could represent the
probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute
the probabilities of the presence of various diseases.
{{clear}}
{{NumBlk|1=:|2=<math>
P(a, b, \lambda) = P(a| \lambda) P(b | \lambda) P(\lambda)\,
</math>,|3='''Eq.(6)'''|RawN=.}}
렌더링 결과
A Bayesian network (or a belief network) is a probabilistic graphical model that represents a set of
variables and their probabilistic independencies. For example, a Bayesian network could represent the
probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute
the probabilities of the presence of various diseases.
within a table yields a nested table. Due to a bug in MediaWiki's handling of nested tables, {{NumBlk}} must be used carefully in this case. In particular, when indentation for the outer table is desired, use explicit <dl><dd>...</dd></dl> tags for indentation instead of a leading colon (:).