gha

fun gha(data: Array<DoubleArray>, w: Array<DoubleArray>, r: TimeFunction = TimeFunction.linear(0.01, 10_000.0, 0.001), vararg columns: String): GHA(source)

Generalized Hebbian Algorithm with initial projection matrix.

the GHA model.

data

training data.

the initial projection matrix.

the learning rate schedule.

columns

optional column names for projected data frame.

Generalized Hebbian Algorithm with initial projection matrix and constant learning rate.

the GHA model.

data

training data.

the initial projection matrix.

the constant learning rate.

columns

optional column names for projected data frame.

fun gha(data: Array<DoubleArray>, k: Int, r: TimeFunction = TimeFunction.linear(0.01, 10_000.0, 0.001), vararg columns: String): GHA(source)

Generalized Hebbian Algorithm with random initial projection matrix.

the GHA model.

data

training data.

the dimension of feature space.

the learning rate schedule.

columns

optional column names for projected data frame.

fun gha(data: Array<DoubleArray>, k: Int, r: Double, vararg columns: String): GHA(source)

Generalized Hebbian Algorithm with random initial projection matrix and constant learning rate.

the GHA model.

data

training data.

the dimension of feature space.

the constant learning rate.

columns

optional column names for projected data frame.