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+/*
+ * Copyright (C) 2011 The Android Open Source Project
+ *
+ * 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 or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.bordeaux.learning;
+
+import java.util.HashMap;
+import java.util.Map;
+import android.util.Log;
+
+/**
+ * A simple impelentation of histograms with sparse enteries using HashMap.
+ * User can push examples or extract probabilites from this histogram.
+ */
+public class predictorHist {
+ private HashMap<String, Integer> mCountHist;
+ private int mSampleCount;
+ String TAG = "PredicrtHist";
+
+ public predictorHist() {
+ mCountHist = new HashMap<String, Integer>();
+ mSampleCount = 0;
+ }
+
+ // reset histogram
+ public void ResetPredictorHist() {
+ mCountHist.clear();
+ mSampleCount = 0;
+ }
+
+ // getters
+ public final HashMap<String, Integer> getHist() {
+ return mCountHist;
+ }
+
+ public int getHistCounts() {
+ return mSampleCount;
+ }
+
+ //setter
+ public void set(HashMap<String, Integer> hist) {
+ ResetPredictorHist();
+ for (Map.Entry<String, Integer> x : hist.entrySet()) {
+ mCountHist.put(x.getKey(), x.getValue());
+ mSampleCount = mSampleCount + x.getValue();
+ }
+ }
+
+ /**
+ * pushes a new example to the histogram
+ */
+ public void pushSample( String fs) {
+ int histValue = 1;
+ if (mCountHist.get(fs) != null )
+ histValue = histValue + mCountHist.get(fs);
+ mCountHist.put(fs,histValue);
+ mSampleCount++;
+ }
+
+ /**
+ * return probabilty of an exmple using the histogram
+ */
+ public float getProbability(String fs) {
+ float res = 0;
+ if (mCountHist.get(fs) != null )
+ res = ((float) mCountHist.get(fs)) / ((float)mSampleCount);
+ return res;
+ }
+}