1 files changed, 0 insertions, 84 deletions
diff --git a/bordeaux/learning/predictor_histogram/java/android/bordeaux/learning/PredictorHist.java b/bordeaux/learning/predictor_histogram/java/android/bordeaux/learning/PredictorHist.java
deleted file mode 100644
index c332be560..000000000
--- a/bordeaux/learning/predictor_histogram/java/android/bordeaux/learning/PredictorHist.java
+++ /dev/null
@@ -1,84 +0,0 @@
-/*
- * 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.containsKey(fs)) {
-            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.containsKey(fs)) {
-            res = ((float) mCountHist.get(fs)) / ((float)mSampleCount);
-        }
-        return res;
-    }
-}