public abstract class NvmmLikelihoodAscentEM(T) : MixtureOptimizer!T, LikelihoodAscent!T
if(isFloatingPoint!T)
Normal variance-mean mixture optimizer
public this(
in T[] _grid,
size_t maxLength)
Constructor
Contracts
in
{
assert (_grid.length);
assert (maxLength);
}
Parameters
| _grid | Array of parameters u. [u_1, ..., u_k] |
| maxLength | maximal length of sample |
public final void optimize(
scope bool delegate(
T betaPrev,
T beta,
T likelihoodValuePrev,
T likelihoodValue,
in T[] weightsPrev,
in T[] weights
) tolerance,
scope bool delegate(
T a,
T b
) @nogc nothrow findRootTolerance = null)
Performs optimization.
Parameters
| tolerance | Defines an early termination condition. Receives the current and previous versions of various parameters. The delegate must return true when parameters are acceptable. |
| findRootTolerance | Tolerance for inner optimization. |
Throws
FeaturesException if isFeaturesCorrect is false.
See Also:
public final void optimize(
scope bool delegate(
T betaPrev,
T beta,
T likelihoodValuePrev,
T likelihoodValue
) tolerance,
scope bool delegate(
T a,
T b
) @nogc nothrow findRootTolerance = null)
Performs optimization.
Parameters
| tolerance | Defines an early termination condition. Receives the current and previous versions of various parameters. The delegate must return true when parameters are acceptable. |
| findRootTolerance | Tolerance for inner optimization. |
Throws
FeaturesException if isFeaturesCorrect is false.
See Also:
public final void optimize(
scope bool delegate(
T betaPrev,
T beta,
in T[] weightsPrev,
in T[] weights
) tolerance,
scope bool delegate(
T a,
T b
) @nogc nothrow findRootTolerance = null)
Performs optimization.
Parameters
| tolerance | Defines an early termination condition. Receives the current and previous versions of various parameters. The delegate must return true when parameters are acceptable. |
| findRootTolerance | Tolerance for inner optimization. |
Throws
FeaturesException if isFeaturesCorrect is false.
See Also:
public final void sample(in T[] _sample) @property
Sets sample and recalculates beta and mixture.
Contracts
in
{
assert (_sample.length <= this._sample.length);
foreach (s; _sample)
{
assert (std.math.isFinite(s));
}
assert (_featuresT.matrix.shift >= _sample.length);
}
Parameters
| _sample | new sample with length less or equal |
Throws
FeaturesException if isFeaturesCorrect is false.
public final const(T)[] sample() @property const
Returns
Const slice of the internal sample representation.
public final T mean() @property const
Returns
sample mean
public final T beta() @property const
Returns
beta
public final const(T)[] grid() @property const
Returns
Const slice of the internal grid representation.
Functions
| this | Constructor | |
| optimize | Performs optimization. | |
| optimize | Performs optimization. | |
| optimize | Performs optimization. | |
| sample@property | Sets sample and recalculates beta and mixture. | |
| sample@property, const | Returns: Const slice of the internal sample representation. | |
| mean@property, const | Returns: sample mean | |
| beta@property, const | Returns: beta | |
| grid@property, const | Returns: Const slice of the internal grid representation. |
Structs
| CorePDF |