Skip to main content

Linear regression

LINEAR_REGRESSION​

linear_regression(Matrix s, Number learning_rate, Number max_iteration, Vector of Number ind_vars, Number predict_index, Vector of Number starting_weights) -> Vector
STABLE

No description.

linear_regression(Charstring model, Matrix dataset, Number learning_rate, Number max_iteration) -> Record
STABLE

No description.

linear_regression(Matrix s, Number learning_rate, Number max_iteration, Vector of Number ind_vars, Number predict_index) -> Vector
STABLE

No description.

LINEAR_REGRESS_DADX​

linear_regress_dadx(Matrix x) -> Vector of Number
STABLE

No description.

LINEAR_REGRESS_FX​

linear_regress_fx(Vector of Number a, Vector of Number ind_vars, Number predict_index, Matrix s) -> Matrix
STABLE

No description.

LOGISTIC_REGRESSION_ESTIMATE​

logistic_regression_estimate(Vector of Number weights, Vector of Number input) -> Number
STABLE

No description.

LOGISTIC_REGRESS_DADX​

logistic_regress_dadx(Matrix x) -> Vector of Number
STABLE

No description.

LOGISTIC_REGRESS_FX​

logistic_regress_fx(Vector of Number a, Vector of Number ind_vars, Number predict_index, Matrix s) -> Matrix
STABLE

No description.

LR_ESTIMATE​

lr_estimate(Vector of Number weights, Vector of Number input) -> Number
STABLE

Make an estimation using the weights from a trained model.

lr_estimate(Charstring model, Vector of Number input) -> Number
STABLE

Make an estimation on input with linear regression model named model

lr_estimate(Record model, Vector of Number input) -> Number
STABLE

Make an estimation on input with linear regression model

LR_IND_VARS​

lr_ind_vars(Record lr_model) -> Vector of Number
STABLE

Retrieve the variable indices of the linear regression model record lr_model

LR_MODEL​

lr_model(Charstring name) -> Record
STABLE

No description.

LR_PREDICT_INDEX​

lr_predict_index(Record lr_model) -> Number
STABLE

Retrieve the prdiction index of the linear regression model record lr_model

LR_R2​

lr_r2(Record model, Matrix dataset) -> Number
STABLE

Calculate the R-square for a linear regression model over the given dataset

-model Record containing model data, can be obtained with lr_model(Charstring)->Record -dataset Matrix containing the dataset to calculate R-squared on. Must be on the same format as the model was trained on.

lr_r2(Matrix dataset, Number predict_index, Vector of Number predictions) -> Number
STABLE

Calculates the R-squared metric given dataset, predict_index and

predictions

-dataset Matrix dataset to calculate R-squared for -predict_index What index of each vector in the dataset to calculate R-squared for. -predictions Vector of Number containing the predictions of the model over the dataset.

lr_r2(Charstring model, Matrix dataset) -> Number
STABLE

Convenience function to calculate R-squared for a linear regression model.

see lr_r2(Record model, Matrix dataset) -> Number for details.

LR_WEIGHTS​

lr_weights(Record lr_model) -> Vector of Number
STABLE

Retrieve the wieghts of the linear regression model record lr_model

NEW_LR_MODEL​

new_lr_model(Charstring name, Vector of Number ind_vars, Number predict_index) -> Object
STABLE

No description.

new_lr_model(Charstring name, Vector of Number ind_vars, Number predict_index, Vector of Number starting_weights) -> Object
STABLE

No description.