Functions | |
def | init |
def | sigm |
def | is_singularity_power_of_two |
def | build |
def | predict |
Variables | |
dictionary | ini = {} |
cm_kernel = None |
def model_fgg-hybrid-sigm-sing::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 } Output: { cm_return - return code >0 if error file_with_model - file with model }
Definition at line 56 of file model_fgg-hybrid-sigm-sing.py.
def model_fgg-hybrid-sigm-sing::init | ( | i | ) |
Definition at line 26 of file model_fgg-hybrid-sigm-sing.py.
def model_fgg-hybrid-sigm-sing::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 40 of file model_fgg-hybrid-sigm-sing.py.
def model_fgg-hybrid-sigm-sing::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 150 of file model_fgg-hybrid-sigm-sing.py.
def model_fgg-hybrid-sigm-sing::sigm | ( | x, | ||
x0, | ||||
k, | ||||
a, | ||||
c | ||||
) |
Signmoidal model Input: x0,k,a,c Return: linear function
Definition at line 30 of file model_fgg-hybrid-sigm-sing.py.
model_fgg-hybrid-sigm-sing::cm_kernel = None |
Definition at line 14 of file model_fgg-hybrid-sigm-sing.py.
dictionary model_fgg-hybrid-sigm-sing::ini = {} |
Definition at line 13 of file model_fgg-hybrid-sigm-sing.py.