
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.