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Copy pathDDAS.py
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42 lines (38 loc) · 1.29 KB
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import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
class MakeReal(BaseEstimator, TransformerMixin):
def __init__(self, RealPart = True, ImaginaryPart=True, magnitude = False, Phase = False):
self.real = RealPart
self.imag = ImaginaryPart
self.magnitude = magnitude
self.phase = Phase
def fit(self,X, y = None):
return self
def transform(self,XX,y=None):
X = np.array(XX)
c = 0
if(self.real == True):
c += 1
if(self.imag == True):
c += 1
if(self.magnitude == True):
c += 1
if(self.phase == True):
c += 1
s = X.shape
X_transformed = np.zeros((s[0], c*s[1]))
for i in range(s[1]):
k = 0
if(self.real == True):
X_transformed[:,c*i + k] = np.real(X[:,i])
k+= 1
if(self.imag == True):
X_transformed[:,c*i+k] = np.imag(X[:,i])
k+= 1
if(self.magnitude == True):
X_transformed[:,c*i+k] = np.absolute(X[:,i])
k += 1
if(self.phase == True):
X_transformed[:,c*i+k] = np.angle(X[:,i])
k += 1
return X_transformed