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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
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 * to you 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,
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package com.gengoai.apollo.ml.observation;

import com.fasterxml.jackson.annotation.JsonSubTypes;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.gengoai.Copyable;
import com.gengoai.apollo.math.linalg.DenseMatrix;
import com.gengoai.apollo.math.linalg.NDArray;
import com.gengoai.apollo.math.linalg.SparseMatrix;
import com.gengoai.apollo.math.linalg.Tensor;
import com.gengoai.json.TypeInfo;
import lombok.NonNull;

import java.io.Serializable;
import java.util.function.Consumer;
import java.util.function.Function;
import java.util.function.Predicate;
import java.util.stream.Stream;

/**
 * 

* An observation represents a single data point derived from an object which describes an input or * output for a model. Observations are made up of one or more variables, which are aspects of the object * from which the observation is derived. All variables in Apollo are continuous having a name and value. *

*

* Categorical variables are represented with their category as the variable name and a 1 as the value. For * example, given a Categorical variable HomeType made up of the values Ranch, * Colonial, and Tudor, we can represent an instance of Ranch as a continuous * variable Ranch=1. *

* * @author David B. Bracewell */ @TypeInfo @JsonTypeInfo(use = JsonTypeInfo.Id.NAME) @JsonSubTypes( { @JsonSubTypes.Type(value = Variable.class, name = "v"), @JsonSubTypes.Type(value = VariableList.class, name = "vl"), @JsonSubTypes.Type(value = VariableCollectionSequence.class, name = "vcs"), @JsonSubTypes.Type(value = VariableSequence.class, name = "vs"), @JsonSubTypes.Type(value = DenseMatrix.class, name = "dm"), @JsonSubTypes.Type(value = SparseMatrix.class, name = "sm"), @JsonSubTypes.Type(value = Tensor.class, name = "tensor"), } ) public interface Observation extends Copyable, Serializable { /** * Casts this Observation as a {@link Classification} throwing {@link IllegalArgumentException} if the cast is * invalid. * * @return the classification */ default Classification asClassification() { throw new IllegalArgumentException(getClass().getSimpleName() + " is not a Classification."); } /** * Casts this Observation as a {@link NDArray} throwing {@link IllegalArgumentException} if the cast is invalid. * * @return the nd array */ default NDArray asNDArray() { throw new IllegalArgumentException(getClass().getSimpleName() + " is not an NDArray."); } /** * Casts this Observation as a {@link Sequence} throwing {@link IllegalArgumentException} if the cast is invalid. * * @return the sequence */ default Sequence asSequence() { throw new IllegalArgumentException(getClass().getSimpleName() + " is not a Sequence."); } /** * Casts this Observation as a {@link Variable} throwing {@link IllegalArgumentException} if the cast is invalid. * * @return the variable */ default Variable asVariable() { throw new IllegalArgumentException(getClass().getSimpleName() + " is not a Variable."); } /** * Casts this Observation as a {@link VariableCollection} throwing {@link IllegalArgumentException} if the cast is * invalid. * * @return the variable collection */ default VariableCollection asVariableCollection() { throw new IllegalArgumentException(getClass().getSimpleName() + " is not a VariableCollection."); } /** * Gets a stream of all of the variables making up this observation and any sub-observations (e.g. {@link * VariableCollectionSequence )}. * * @return the variable space */ Stream getVariableSpace(); /** * Type check for {@link Classification} * * @return True - if this observation is an instance of a Classification, False otherwise. */ default boolean isClassification() { return false; } /** * Type check for {@link NDArray} * * @return True - if this observation is an instance of an NDArray, False otherwise. */ default boolean isNDArray() { return false; } /** * Type check for {@link Sequence} * * @return True - if this observation is an instance of a Sequence, False otherwise. */ default boolean isSequence() { return false; } /** * Type check for {@link Variable} * * @return True - if this observation is an instance of a Variable, False otherwise. */ default boolean isVariable() { return false; } /** * Type check for {@link VariableCollection} * * @return True - if this observation is an instance of a VariableCollection, False otherwise. */ default boolean isVariableCollection() { return false; } /** * Maps the variables in this Observation to new values * * @param mapper the mapper */ void mapVariables(@NonNull Function mapper); /** * Filters out, i.e. removes, the variables evaluating to true for the given filter. * * @param filter the filter */ void removeVariables(@NonNull Predicate filter); /** * Updates the variables in this Observation * * @param updater the updater */ void updateVariables(@NonNull Consumer updater); }//END OF Observation




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