isotrackTrainRegressorNoOptimization Namespace Reference

Functions
def	fac0 (jeta)
	marinas correction form More...
def	fac1 (jeta)
def	fac2 (jeta)
def	propweights (y_true)

Function Documentation

fac0()

def isotrackTrainRegressorNoOptimization.fac0

(

jeta

)

marinas correction form

Definition at line 135 of file isotrackTrainRegressorNoOptimization.py.

References createfilelist.int.

def fac0(jeta):
    PU_IETA_1 = 9
    PU_IETA_2 = 16
    PU_IETA_3 = 25
    idx = (int(jeta >= PU_IETA_1) + int(jeta >= PU_IETA_2) + int(jeta >= PU_IETA_3))
    return a0[idx]

fac1()

def isotrackTrainRegressorNoOptimization.fac1

(

jeta

)

Definition at line 141 of file isotrackTrainRegressorNoOptimization.py.

References createfilelist.int.

def fac1(jeta):
    PU_IETA_1 = 9
    PU_IETA_2 = 16
    PU_IETA_3 = 25
    idx = (int(jeta >= PU_IETA_1) + int(jeta >= PU_IETA_2) + int(jeta >= PU_IETA_3))
    return a1[idx]

fac2()

def isotrackTrainRegressorNoOptimization.fac2

(

jeta

)

Definition at line 147 of file isotrackTrainRegressorNoOptimization.py.

References funct.abs(), and createfilelist.int.

def fac2(jeta):
    PU_IETA_1 = 9
    PU_IETA_2 = 16
    PU_IETA_3 = 25
    idx = (int(jeta >= PU_IETA_1) + int(jeta >= PU_IETA_2) + int(jeta >= PU_IETA_3))
    return a2[idx]


# In[44]:

propweights()

def isotrackTrainRegressorNoOptimization.propweights

(

y_true

)

Definition at line 174 of file isotrackTrainRegressorNoOptimization.py.

References funct.abs().

def propweights(y_true):
    weight = np.copy(y_true)
    weight[abs(y_true - meany) > 0] = 1.90*abs(y_true - meany)/stdy  #1.25
#    weight[abs(y_true - meany) > stdy] = 1.75*abs((weight[abs(y_true - meany) > stdy]) - meany)/(stdy)
    weight[abs(y_true - meany) < stdy] =  1
    print ("wieght : ", weight)
    return weight


# In[46]: