.boost(fessConfig.getQueryBoostFuzzyTitleAsDecimal().floatValue())
                    .prefixLength(fessConfig.getQueryBoostFuzzyTitlePrefixLengthAsInteger())
                    .transpositions(Constants.TRUE.equalsIgnoreCase(fessConfig.getQueryBoostFuzzyTitleTranspositions()))
                    .fuzziness(Fuzziness.build(fessConfig.getQueryBoostFuzzyTitleFuzziness()))

query.boost.fuzzy.title.expansions=10
query.boost.fuzzy.title.prefix_length=0
query.boost.fuzzy.title.transpositions=true
query.boost.fuzzy.content=0.005
query.boost.fuzzy.content.fuzziness=AUTO
query.boost.fuzzy.content.expansions=10
query.boost.fuzzy.content.prefix_length=0
query.boost.fuzzy.content.transpositions=true

query.default.query_type=bool
query.dismax.tie_breaker=0.1
query.bool.minimum_should_match=

    /**
     * Get the value for the key 'query.boost.fuzzy.title.transpositions'. <br>
     * The value is, e.g. true <br>
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getQueryBoostFuzzyTitleTranspositions();

    /**
     * Is the property for the key 'query.boost.fuzzy.title.transpositions' true? <br>
     * The value is, e.g. true <br>

    Direct batched convolution Pooling: maximum, minimum, average Normalization:
    LRN, batch normalization Activation: rectified linear unit (ReLU) Data
    manipulation: multi-dimensional transposition (conversion), split, concat,
    sum and scale.

*   TensorForest Estimator now supports SavedModel export for serving.

*   Support client-provided ClusterSpec's and propagate them to all workers to