model_fgg-hybrid-with-rules Namespace Reference

Functions
def	init
def	is_singularity_power_of_two
def	lm
def	build
def	predict
Variables
dictionary	ini = {}
	cm_kernel = None

---

Function Documentation

def model_fgg-hybrid-with-rules::build

(

i

)

Build model

Input:  {
          data                 
          ct_dimensions_input
          ct_dimensions_output
          desc
          model_name                   - (earth, svm)
          (record_data_to_file_prefix) - if !='', use this filename prefix instead of randomly generated
          additional_params            - x1 - cuts on first axis
                                         x2 - cuts on first axis
                                         x3 - cuts on first axis
        }

Output: {
          cm_return       - return code >0 if error
          file_with_model - file with model
        }

Definition at line 55 of file model_fgg-hybrid-with-rules.py.

def model_fgg-hybrid-with-rules::init

(

i

)

Definition at line 24 of file model_fgg-hybrid-with-rules.py.

def model_fgg-hybrid-with-rules::is_singularity_power_of_two

(

x

)

Separate possible singularities (for now, power of 2)

Input:  x - float number
Return: True if power of 2, otherwise False

Definition at line 28 of file model_fgg-hybrid-with-rules.py.

def model_fgg-hybrid-with-rules::lm	(		x,
			x1,
			a1,
			k1
	)

Linear model 

Input:  x1,a1,k1
Return: linear function

Definition at line 44 of file model_fgg-hybrid-with-rules.py.

def model_fgg-hybrid-with-rules::predict

(

i

)

Predict using model

Input:  {
          model_file 
          data                 
          ct_dimensions_input
          (ct_dimensions_output)  - for comparison
          desc                    - cM data description
          model_name              - (earth, svm)
          (max_variation_percent) - for comparison, report points where variation is more than this number (default=0.2)
        }

Output: {
          cm_return - return code >0 if error
          (rmse)    - if comparison, root mean square error for predictions vs original
          (max_var) - list of points with variation more than max_variation_percent          
        }

Definition at line 180 of file model_fgg-hybrid-with-rules.py.

---

Variable Documentation

model_fgg-hybrid-with-rules::cm_kernel = None

Definition at line 12 of file model_fgg-hybrid-with-rules.py.

dictionary model_fgg-hybrid-with-rules::ini = {}

Definition at line 11 of file model_fgg-hybrid-with-rules.py.