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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
33 lines
1.5 KiB
Java
33 lines
1.5 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 com.google.common.collect.ImmutableSortedSet;
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/**
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* A companion interface to {@link Distribution} which fits samples to a histogram in order to
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* estimate the probability density function (PDF) of the {@link Distribution}.
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*
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* <p>The fitter models the histogram with a set of finite boundaries. The closed-open interval
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* [a,b) between two consecutive boundaries represents the domain of permissible values in that
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* interval. The values less than the first boundary are in the underflow interval of (-inf, a) and
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* values greater or equal to the last boundary in the array are in the overflow interval of [a,
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* inf).
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*/
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public interface DistributionFitter {
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/** Returns a sorted set of the boundaries modeled by this {@link DistributionFitter}. */
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ImmutableSortedSet<Double> boundaries();
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}
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