pipefitter.estimator.LinearRegression

class pipefitter.estimator.LinearRegression(intercept=True, max_effects=0, selection='none', sig_level=0.05, criterion=None, target=None, nominals=None, inputs=None)

Bases: pipefitter.base.BaseEstimator

Linear Regression

Parameters:

intercept : bool, optional

Include the intercept term in the model?

max_effects : int, optional

Specifies the maximum number of effects in any model to consider during the selection process

selection : string, optional

Specifies the selection method. Valid values are ‘none’, ‘backward’, ‘forward’, ‘lasso’, and ‘stepwise’.

sig_level : float, optional

Specifies the significance level

criterion : string, optional

Specifies selection criterion. Valid values are ‘sl’, ‘aic’, ‘aicc’, and ‘sbc’.

target : string, optional

The target variable

nominals : string or list of strings, optional

The nominal variables

inputs : string or list of strings, optional

The input variables

Returns:

LinearRegression

Examples

>>> lin = LinearRegression(target='MSRP',
...                        inputs=['MPG_City', 'MPG_Highway', 'Length',
...                                'Weight', 'Type', 'Cylinders'],
...                        nominals = ['Type', 'Cylinders', 'Origin'])

__init__(intercept=True, max_effects=0, selection='none', sig_level=0.05, criterion=None, target=None, nominals=None, inputs=None)

Methods

__init__([intercept, max_effects, ...])
fit(table, \*args, \*\*kwargs)	Fit function for linear regression
get_combined_params(\*args, \*\*kwargs)	Merge all parameters and verify that they valid
get_filtered_params(\*args, \*\*kwargs)	Merge parameters that keys that belong to self
get_param(\*names)	Return a copy of the requested parameters
get_params(\*names)	Return a copy of the requested parameters
has_param(name)	Does the parameter exist?
set_param(\*args, \*\*kwargs)	Set one or more parameters
set_params(\*args, \*\*kwargs)	Set one or more parameters
transform(table, \*args, \*\*kwargs)	Transform function for transformer

Attributes

param_defs
static_params