Python _linear_predictor_typecheck Examples

Example #1

File: classification.py Project: 4Quant/spark

 def predict(self, x):
     _linear_predictor_typecheck(x, self._coeff)
     margin = _dot(x, self._coeff) + self._intercept
     if margin > 0:
         prob = 1 / (1 + exp(-margin))
     else:
         prob = 1 - 1 / (1 + exp(margin))
     return 1 if prob > 0.5 else 0

Example #2

File: classification.py Project: twneale/spark

 def predict(self, x):
     _linear_predictor_typecheck(x, self._coeff)
     margin = _dot(x, self._coeff) + self._intercept
     if margin > 0:
         prob = 1 / (1 + exp(-margin))
     else:
         prob = 1 - 1 / (1 + exp(margin))
     return 1 if prob > 0.5 else 0

Example #3

 def predict(self, x):
     _linear_predictor_typecheck(x, self._coeff)
     margin = dot(x, self._coeff) + self._intercept
     return 1 if margin >= 0 else 0

Example #4

File: classification.py Project: EricChanBD/incubator-spark

 def predict(self, x):
     _linear_predictor_typecheck(x, self._coeff)
     margin = dot(x, self._coeff) + self._intercept
     return 1 if margin >= 0 else 0

Example #5

File: regression.py Project: sankumarbigdata/spark-client-test

 def predict(self, x):
     """Predict the value of the dependent variable given a vector x"""
     """containing values for the independent variables."""
     _linear_predictor_typecheck(x, self._coeff)
     return dot(self._coeff, x) + self._intercept

Example #6

File: classification.py Project: hanwei2008/Virtual_Environment

 def predict(self, x):
     _linear_predictor_typecheck(x, self._coeff)
     margin = _dot(x, self._coeff) + self._intercept
     return ('1', abs(margin)) if margin >= 0 else ('0', abs(margin))

Example #7

File: regression.py Project: ArchangelSeraphim/spark

 def predict(self, x):
     """Predict the value of the dependent variable given a vector x"""
     """containing values for the independent variables."""
     _linear_predictor_typecheck(x, self._coeff)
     return _dot(x, self._coeff) + self._intercept

Example #8

File: classification.py Project: hanwei2008/Virtual_Environment

 def predict(self, x):
     _linear_predictor_typecheck(x, self._coeff)
     margin = _dot(x, self._coeff) + self._intercept
     return ('1', abs(margin)) if margin >= 0 else ('0', abs(margin))