Accord.NET Framework

## HiddenConditionalRandomFieldT Methods |

The HiddenConditionalRandomFieldT generic type exposes the following members.

Methods

Name | Description | |
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Clone |
Creates a new object that is a copy of the current instance.
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Compute(T) | Obsolete.
Computes the most likely output for the given observations.
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Compute(T, Double) | Obsolete.
Computes the most likely output for the given observations.
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Compute(T, Double) | Obsolete.
Computes the most likely output for the given observations.
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Decide(TInput) |
Computes class-label decisions for a given set of input vectors.
(Inherited from ClassifierBaseTInput, TClasses.) | |

Decide(T) |
Computes a class-label decision for a given input.
(Overrides ClassifierBaseTInput, TClassesDecide(TInput).) | |

Decide(TInput, TClasses) |
Computes a class-label decision for a given input.
(Inherited from ClassifierBaseTInput, TClasses.) | |

Decide(TInput, Boolean) |
Computes class-label decisions for the given input.
(Inherited from MulticlassClassifierBaseTInput.) | |

Decide(TInput, Double) |
Computes class-label decisions for the given input.
(Inherited from MulticlassClassifierBaseTInput.) | |

Decide(TInput, Int32) |
Computes class-label decisions for the given input.
(Inherited from MulticlassClassifierBaseTInput.) | |

Decide(TInput, Double) |
Computes a class-label decision for a given input.
(Inherited from MulticlassClassifierBaseTInput.) | |

Decode(T, Int32) |
Computes the most likely state labels for the given observations,
returning the overall sequence probability for this model.
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Decode(T, Int32, Double) |
Computes the most likely state labels for the given observations,
returning the overall sequence probability for this model.
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |

Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |

GetHashCode | Serves as the default hash function. (Inherited from Object.) | |

GetType | Gets the Type of the current instance. (Inherited from Object.) | |

Load(Stream) | Obsolete.
Loads a random field from a stream.
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Load(String) | Obsolete.
Loads a random field from a file.
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LogLikelihood(T, Int32) |
Computes the log-likelihood that the given
observations belong to the desired output.
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LogLikelihood(T, Int32) |
Computes the log-likelihood that the given
observations belong to the desired outputs.
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LogLikelihood(T, Int32, Double) |
Computes the log-likelihood that the given
observations belong to the desired output.
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LogLikelihood(T, Int32, Double) |
Computes the log-likelihood that the given
observations belong to the desired outputs.
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LogPartition(T) |
Computes the log-partition function ln Z(x).
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LogPartition(T, Int32) |
Computes the log-partition function ln Z(x,y).
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MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |

Partition(T) |
Computes the partition function Z(x).
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Partition(T, Int32) |
Computes the partition function Z(x,y).
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Save(Stream) | Obsolete.
Saves the random field to a stream.
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Save(String) | Obsolete.
Saves the random field to a stream.
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ToMultilabel |
Views this instance as a multi-label classifier,
giving access to more advanced methods, such as the prediction
of one-hot vectors.
(Inherited from MulticlassClassifierBaseTInput.) | |

ToString | Returns a string that represents the current object. (Inherited from Object.) | |

Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.) | |

Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.) | |

Transform(TInput, TClasses) |
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.) | |

Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |

Extension Methods

Name | Description | |
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HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |

IsEqual | Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.) | |

ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |

ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by Matrix.) |

See Also