def train(self):
        """
        Train model with transformed data
        """
        for i, model in enumerate(self.models):
            N = [int(i * len(self.y)) for i in self.lc_range]
            for n in N:
                X = self.X[:n]
                y = self.y[:n]
                e = Experiment(X, y, model.estimator, self.scores,
                               self.validation_method)
                e.log_folder = self.log_folder
                e.train()
def train(self):
        """
        Train model with transformed data
        """
        for i, model in enumerate(self.models):
            N = [int(i * len(self.y)) for i in self.lc_range]
            for n in N:
                X = self.X[:n]
                y = self.y[:n]
                e = Experiment(X, y, model.estimator, self.scores,
                               self.validation_method)
                e.log_folder = self.log_folder
                e.train()
def train ( self ) : for i , model in enumerate ( self . models ) : N = [ int ( i * len ( self . y ) ) for i in self . lc_range ] for n in N : X = self . X [ : n ] y = self . y [ : n ] e = Experiment ( X , y , model . estimator , self . scores , self . validation_method ) e . log_folder = self . log_folder e . train ( )
Train model with transformed data
Train model with transformed data