Add the Distribution data type for instrumentation

This is one of a series of CLs adding a new metric type, EventMetric, which
is used for tracking numerical distributions.

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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132103552
This commit is contained in:
shikhman 2016-09-02 14:23:08 -07:00 committed by Ben McIlwain
parent 180240ae04
commit dcb189943b
13 changed files with 961 additions and 0 deletions

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// Copyright 2016 The Domain Registry Authors. 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 or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package google.registry.monitoring.metrics;
import com.google.common.collect.ImmutableSortedSet;
/**
* A companion interface to {@link Distribution} which fits samples to a histogram in order to
* estimate the probability density function (PDF) of the {@link Distribution}.
*
* <p>The fitter models the histogram with a set of finite boundaries. The closed-open interval
* [a,b) between two consecutive boundaries represents the domain of permissible values in that
* interval. The values less than the first boundary are in the underflow interval of (-inf, a) and
* values greater or equal to the last boundary in the array are in the overflow interval of [a,
* inf).
*/
public interface DistributionFitter {
/** Returns a sorted set of the boundaries modeled by this {@link DistributionFitter}. */
ImmutableSortedSet<Double> boundaries();
}