| | Name | Description |
|---|
 | LogisticRegressionParameterCalc |
Default constructor. Constructs a LogisticRegression instance with
all sizes equal to zero.
|
| LogisticRegressionParameterCalc(DoubleMatrix, IListBoolean, Boolean) |
Constructs a LogisticRegression instance with the specifed regresssion matrix
and observation vector, optionally adding an intercept parameter. The
model parameter values are computed using the specified regression calculator.
|
| LogisticRegressionParameterCalc(DoubleMatrix, DoubleVector, PredicateDouble, Boolean) |
Constructs a LogisticRegression instance with the specifed regresssion matrix
and observation vector, optionally adding an intercept parameter. The vector
of floating point observations is converted to a vector of booleans by applying
the give predicate function.
|
| LogisticRegressionParameterCalc(DoubleMatrix, IListBoolean, Boolean, ParameterCalc) |
Constructs a LogisticRegression instance with the specifed regresssion matrix
and observation vector, optionally adding an intercept parameter. The
model parameter values are computed using the specified regression calculator.
|
| LogisticRegressionParameterCalc(DoubleMatrix, Int32, PredicateDouble, Boolean) |
Constructs a LogisticRegression instance optionally adding an intercept
parameter. The provided matrix of values contains the observation values
as one of its columns. The rest of the columns of the matrix forms the
regression matrix. The floating point observation value in the matrix are
converted to a vector of dichotomous values by applying the give predicate
function.
|
| LogisticRegressionParameterCalc(DoubleMatrix, DoubleVector, PredicateDouble, Boolean, ParameterCalc) |
Constructs a LogisticRegression instance with the specifed regresssion matrix
and observation vector, optionally adding an intercept parameter. The vector
of floating point observations is converted to a vector of booleans by applying
the give predicate function.
|
| LogisticRegressionParameterCalc(DoubleMatrix, Int32, PredicateDouble, Boolean, ParameterCalc) |
Constructs a LogisticRegression instance optionally adding an intercept
parameter. The provided matrix of values contains the observation values
as one of its columns. The rest of the columns of the matrix forms the
regression matrix. The floating point observation value in the matrix are
converted to a vector of dichotomous values by applying the give predicate
function.
|
Overload List