type ConditionalProbDistI
source code
object --+
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ConditionalProbDistI
- Known Subclasses:
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A collection of probability distributions for a single experiment run
under different conditions. Conditional probability distributions are
used to estimate the likelihood of each sample, given the condition under
which the experiment was run. For example, a conditional probability
distribution could be used to estimate the probability of each word type
in a document, given the length of the word type. Formally, a
conditional probability distribution can be defined as a function that
maps from each condition to the ProbDist for the experiment
under that condition.
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ProbDistI
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__getitem__(self,
condition)
Returns:
The probability distribution for the experiment run under the given
condition. |
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int
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__len__(self)
Returns:
The number of conditions that are represented by this
ConditionalProbDist. |
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list
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conditions(self)
Returns:
A list of the conditions that are represented by this
ConditionalProbDist. |
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- Overrides:
object.__init__
- (inherited documentation)
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__getitem__(self,
condition)
(Indexing operator)
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- Parameters:
condition (any) - The condition whose probability distribution should be returned. - Returns:
ProbDistI
- The probability distribution for the experiment run under the
given condition.
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- Returns:
int
- The number of conditions that are represented by this
ConditionalProbDist.
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- Returns:
list
- A list of the conditions that are represented by this
ConditionalProbDist. Use the indexing operator to
access the probability distribution for a given condition.
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