Typically contains numbers stored in a (m x n) matrix, where m is the number of data and n is the number of features.
featureMatrix1 = {
{10,2, 9},
{1,3,6}
}
featureMatrix2 = {
{10, 2},
{1, 3},
{11, 30}
}
featureMatrix2 = {
{10, 23, 30, 111, 320},
{1, 31, 123, 30, 120},
{11, 30, 1234, 123, 0},
{11, 30, 123, 323, 12}
}
Typically contains numbers stored in a (1 x n) matrix, where n is the number of features.
featureVector1 = {
{10,2, 9}
}
featureVector2 = {
{11, 30}
}
featureVector3 = {
{1, 31, 123, 30, 120}
}
Typically contains numbers stored in a (m x 1) matrix, where m is the number of data.
labelVector1 = {
{10},
{1}
}
labelVector2 = {
{-1},
{1},
{1}
}
labelVector3 = {
{1},
{1},
{0},
{0},
}
Typically contains numbers stored in a (m x c) matrix, where m is the number of data and c is the number of classes.
labelMatrix1 = {
{1, 0.1, 99},
{1, 2, 3}
}
labelMatrix2 = {
{-1, 12},
{1, 12},
{2, 1}
}
labelMatrix3 = {
{1, 0, 0, 0, 0},
{0, 0, 0, 1, 0},
{0, 0, 1, 0, 0},
{0, 0, 0, 0, 1},
}