The TrigRegression companion object provides factory methods and functions for creating functional forms.
Attributes
- Companion
- class
- Graph
-
- Supertypes
-
class Objecttrait Matchableclass Any
- Self type
-
TrigRegression.type
Members list
Value members
Concrete methods
Create all forms/terms for each row/point placing them in a new matrix.
Create all forms/terms for each row/point placing them in a new matrix.
Value parameters
- ord
-
the number of harmomics
- x
-
the original un-expanded input/data matrix
Attributes
Create a TrigRegression object from a combined data-response matrix.
Create a TrigRegression object from a combined data-response matrix.
Value parameters
- col
-
the designated response column (defaults to the last column)
- fname_
-
the feature/variable names (defaults to null)
- hparam
-
the hyper-parameters (defaults to Regression.hp)
- ord
-
the number of harmomics
- xy
-
the initial combined data-response matrix (before term expansion)
Attributes
Create a TrigRegression object from a combined data-response matrix.
Create a TrigRegression object from a combined data-response matrix.
Value parameters
- fname_
-
the feature/variable names
- hparam
-
the hyper-parameters
- ord
-
the number of harmomics
- t
-
the initial data/input vector: t_i expands to x_i = [1, t_i, t_i^2, ... t_i^k]
- y
-
the response/ouput vector
Attributes
Given a 1-vector/point 'v', compute the values for all of its trigonmetric forms/terms, returning them as a vector. '[1, sin (wt), cos (wt), sin (2wt), cos (2wt), ...]'.
Given a 1-vector/point 'v', compute the values for all of its trigonmetric forms/terms, returning them as a vector. '[1, sin (wt), cos (wt), sin (2wt), cos (2wt), ...]'.
Value parameters
- k
-
number of features/predictor variables (not counting intercept) = 1
- nt
-
the number of terms
- v
-
the vector/point (i-th row of t) for creating forms/terms
- w
-
the base displacement angle in radians
Attributes
Return the number of terms in the model.
Return the number of terms in the model.
Value parameters
- ord
-
the number of harmomics (max k in kwt)
Attributes
Create a TrigRegression object from a data matrix and a response vector. This method provides data rescaling.
Create a TrigRegression object from a data matrix and a response vector. This method provides data rescaling.
Value parameters
- fname
-
the feature/variable names (defaults to null)
- hparam
-
the hyper-parameters (defaults to Regression.hp)
- ord
-
the number of harmomics
- x
-
the initial data/input matrix (before term expansion)
- y
-
the response/output m-vector