Python one_step_pca Examples

Example #1

import os
root_path = os.path.dirname(os.path.abspath('__file__'))
import sys
sys.path.append(root_path)
from PCA import one_step_pca

if __name__ == "__main__":
    # for n_components in range(44,58):
    one_step_pca(
        root_path=root_path,
        station='Zhangjiashan',
        decomposer='dwt',
        predict_pattern='forecast',
        n_components=60,  #60 input variables
    )

Example #2

File: pca_one_step_one_month.py Project: YX577/MonthlyRunoffForecastByAutoReg

import os
root_path = os.path.dirname(os.path.abspath('__file__'))
# root_path = os.path.abspath(os.path.join(root_path,os.path.pardir))
# root_path = os.path.abspath(os.path.join(root_path,os.path.pardir))
print("Root path:{}".format(root_path))
import sys
sys.path.append(root_path)
from PCA import one_step_pca

if __name__ == "__main__":
    one_step_pca(
        root_path=root_path,
        station='Huaxian',
        decomposer='eemd',
        predict_pattern='forecast',
        n_components=51,  # 51 input variables
    )

Example #3

File: pca_one_step_one_month.py Project: YX577/MonthlyRunoffForecastByAutoReg

import os
root_path = os.path.dirname(os.path.abspath('__file__'))
import sys
sys.path.append(root_path)
from PCA import one_step_pca

if __name__ == "__main__":
    one_step_pca(
        root_path=root_path,
        station='Xianyang',
        decomposer='eemd',
        predict_pattern='forecast',
        n_components=47,  # 47 input variables
    )

Example #4

File: pca_one_step_one_month.py Project: YX577/MonthlyRunoffForecastByAutoReg

import os
root_path = os.path.dirname(os.path.abspath('__file__'))
import sys
sys.path.append(root_path)
from PCA import one_step_pca

if __name__ == "__main__":
    # for n_components in range(39,54):
    one_step_pca(
        root_path=root_path,
        station='Xianyang',
        decomposer='ssa',
        predict_pattern='forecast',
        n_components=54,  #54 input variables
    )