getawork

## get_f1_score_from_confusion_matrix.py
'''
從 Confusion Matrix 計算 F1 Score 分類評量值
'''
def get_f1_score(confusion_matrix, i):
    TP = 0
    FP = 0
    TN = 0
    FN = 0

    for j in range(len(confusion_matrix)):

## ML_test.ipynb

      
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                getawork
                / ML_test.ipynb
            
            
              Created
              November 13, 2019 15:28
                — forked from jgomezdans/ML_test.ipynb
            
              
                Maximum likelihood classifier
              
          
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## snappy_proc.py
import os
import snappy
from snappy import GPF
from snappy import ProductIO
from snappy import HashMap
from snappy import jpy
import subprocess
from time import *

# documentation: http://step.esa.int/docs/v2.0/apidoc/engine/overview-summary.html
	'''
	從 Confusion Matrix 計算 F1 Score 分類評量值
	'''
	def get_f1_score(confusion_matrix, i):
	TP = 0
	FP = 0
	TN = 0
	FN = 0

	for j in range(len(confusion_matrix)):
	import os
	import snappy
	from snappy import GPF
	from snappy import ProductIO
	from snappy import HashMap
	from snappy import jpy
	import subprocess
	from time import *

	# documentation: http://step.esa.int/docs/v2.0/apidoc/engine/overview-summary.html