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dcb189943b
This is one of a series of CLs adding a new metric type, EventMetric, which is used for tracking numerical distributions. ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=132103552
68 lines
2.6 KiB
Java
68 lines
2.6 KiB
Java
// Copyright 2016 The Domain Registry Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package google.registry.monitoring.metrics;
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import static com.google.common.base.Preconditions.checkArgument;
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import static google.registry.monitoring.metrics.MetricsUtils.checkDouble;
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import com.google.auto.value.AutoValue;
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import com.google.common.collect.ImmutableSortedSet;
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/**
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* Models a {@link DistributionFitter} with intervals of exponentially increasing size.
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*
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* <p>The interval boundaries are defined by {@code scale * Math.pow(base, i)} for {@code i} in
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* {@code [0, numFiniteIntervals]}.
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*
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* <p>For example, an {@link ExponentialFitter} with {@code numFiniteIntervals=3, base=4.0,
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* scale=1.5} represents a histogram with intervals {@code (-inf, 1.5), [1.5, 6), [6, 24), [24, 96),
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* [96, +inf)}.
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*/
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@AutoValue
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public abstract class ExponentialFitter implements DistributionFitter {
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/**
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* Create a new {@link ExponentialFitter}.
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*
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* @param numFiniteIntervals the number of intervals, excluding the underflow and overflow
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* intervals
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* @param base the base of the exponent
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* @param scale a multiplicative factor for the exponential function
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* @throws IllegalArgumentException if {@code numFiniteIntervals <= 0}, {@code width <= 0} or
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* {@code base <= 1}
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*/
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public static ExponentialFitter create(int numFiniteIntervals, double base, double scale) {
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checkArgument(numFiniteIntervals > 0, "numFiniteIntervals must be greater than 0");
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checkArgument(scale != 0, "scale must not be 0");
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checkArgument(base > 1, "base must be greater than 1");
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checkDouble(base);
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checkDouble(scale);
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ImmutableSortedSet.Builder<Double> boundaries = ImmutableSortedSet.naturalOrder();
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for (int i = 0; i < numFiniteIntervals + 1; i++) {
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boundaries.add(scale * Math.pow(base, i));
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}
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return new AutoValue_ExponentialFitter(base, scale, boundaries.build());
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}
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public abstract double base();
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public abstract double scale();
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@Override
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public abstract ImmutableSortedSet<Double> boundaries();
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}
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