protected boolean step() { // Compute the learner based on the current weighting of the samples this.result = this.iterationLearner.learn( this.weightedData ); // Update the weight set using the result function and the Kernel // and track the how much the weights have changed double change = this.updateWeights( this.result ); // If the weights have stabilized, then we're done. return (change > this.tolerance); }
protected boolean step() { // Compute the learner based on the current weighting of the samples this.result = this.iterationLearner.learn( this.weightedData ); // Update the weight set using the result function and the Kernel // and track the how much the weights have changed double change = this.updateWeights( this.result ); // If the weights have stabilized, then we're done. return (change > this.tolerance); }
protected boolean step() { // Compute the learner based on the current weighting of the samples this.result = this.iterationLearner.learn( this.weightedData ); // Update the weight set using the result function and the Kernel // and track the how much the weights have changed double change = this.updateWeights( this.result ); // If the weights have stabilized, then we're done. return (change > this.tolerance); }