| DiscriminantAnalysis Methods |
The DiscriminantAnalysis type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Classify(Double) |
Classify a set of observations using the linear or quadratic
discriminant functions generated during the training process.
|
| Classify(Double, Int32) |
Classify a set of observations using the linear or quadratic
discriminant functions generated during the training process.
|
| Classify(Double, Int32, Double) |
Classify a set of observations and associated frequencies and weights
using the linear or quadratic discriminant functions generated
during the training process.
|
| Classify(Double, Int32, Int32) |
Classify a set of observations and compare against known groups using
the linear or quadratic discriminant functions generated during the
training process.
|
| Classify(Double, Int32, Int32, Double) |
Classify a set of observations and associated frequencies and weights
using the linear or quadratic discriminant functions generated
during the training process.
|
| Classify(Double, Int32, Int32, Int32, Double) |
Classify a set of observations, associated frequencies and weights, and
compare against known groups using the linear or quadratic discriminant
functions generated during the training process.
|
| Downdate(Double, Int32) |
Removes a set of observations from the discriminant functions.
|
| Downdate(Double, Int32, Int32) |
Removes a set of observations from the discriminant functions.
|
| Downdate(Double, Int32, Int32, Double) |
Removes a set of observations and associated frequencies and weights
from the discriminant functions.
|
| Downdate(Double, Int32, Int32, Int32, Double) |
Removes a set of observations and associated frequencies and weights
from the discriminant functions.
|
| 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.) |
| GetClassMembership | Returns the group number to which the observation was classified.
|
| GetClassTable | Returns the classification table.
|
| GetCoefficients | Returns the linear discriminant function coefficients.
|
| GetCovariance |
Returns the array of covariances.
|
| GetGroupCounts |
Returns the group counts.
|
| GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
| GetMahalanobis | Returns the Mahalanobis distances between the group means.
|
| GetMeans |
Returns the variable means.
|
| GetPrior |
Returns the prior probabilities.
|
| GetProbability | Returns the posterior probabilities for each observation.
|
| GetStatistics | Returns statistics.
|
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| SetPrior |
Specifies user supplied prior probabilities.
|
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
See Also