org.tribuo.math.kernel.Sigmoid Maven / Gradle / Ivy
/*
* Copyright (c) 2015-2020, Oracle and/or its affiliates. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.tribuo.math.kernel;
import com.oracle.labs.mlrg.olcut.config.Config;
import com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance;
import com.oracle.labs.mlrg.olcut.provenance.impl.ConfiguredObjectProvenanceImpl;
import org.tribuo.math.la.SparseVector;
/**
* A sigmoid kernel, tanh(gamma*u.dot(v) + intercept).
*/
public class Sigmoid implements Kernel {
private static final long serialVersionUID = 1L;
@Config(mandatory = true,description="Coefficient to multiply the dot product by.")
private double gamma;
@Config(mandatory = true,description="Scalar intercept to add to the dot product.")
private double intercept;
/**
* For olcut.
*/
private Sigmoid() {}
/**
* A sigmoid kernel, tanh(gamma*u.dot(v) + intercept).
* @param gamma A scalar coefficient.
* @param intercept An additive coefficient.
*/
public Sigmoid(double gamma, double intercept) {
this.gamma = gamma;
this.intercept = intercept;
}
@Override
public double similarity(SparseVector a, SparseVector b) {
return Math.tanh(gamma * a.dot(b) + intercept);
}
@Override
public String toString() {
return "Sigmoid(gamma="+gamma+",intercept="+intercept+")";
}
@Override
public ConfiguredObjectProvenance getProvenance() {
return new ConfiguredObjectProvenanceImpl(this,"Kernel");
}
}
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