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fixing the documentation for the class flat (#5497)
* fixing the documentation for the class flat * update the alias * update the alias
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pymc/distributions/continuous.py

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@@ -382,7 +382,7 @@ def logp(value):
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Parameters
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----------
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value: numeric
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value : tensor_like of float
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Value(s) for which log-probability is calculated. If the log probabilities for multiple
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values are desired the values must be provided in a numpy array or Aesara tensor
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@@ -399,7 +399,7 @@ def logcdf(value):
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Parameters
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----------
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value: numeric or np.ndarray or aesara.tensor
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value : tensor_like of float
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Value(s) for which log CDF is calculated. If the log CDF for multiple
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values are desired the values must be provided in a numpy array or Aesara tensor.
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