.maxExpansions(fessConfig.getQueryFuzzyExpansionsAsInteger())
                            .prefixLength(fessConfig.getQueryFuzzyPrefixLengthAsInteger())
                            .transpositions(Constants.TRUE.equalsIgnoreCase(fessConfig.getQueryFuzzyTranspositions())));
        }

        if (isSearchField(field)) {
            final String text = term.text();
            context.addFieldLog(field, text);

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

# Number of expansions for fuzzy title queries.
query.boost.fuzzy.title.expansions=10
# Prefix length for fuzzy title queries.
query.boost.fuzzy.title.prefix_length=0
# Whether to allow transpositions in fuzzy title queries.
query.boost.fuzzy.title.transpositions=true
# Boost value for fuzzy content queries.
query.boost.fuzzy.content=0.005
# Fuzziness for fuzzy content queries.
query.boost.fuzzy.content.fuzziness=AUTO

     * Get the value for the key 'query.fuzzy.transpositions'. <br>
     * The value is, e.g. true <br>
     * comment: Whether to allow transpositions in fuzzy queries.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getQueryFuzzyTranspositions();

    /**
     * Is the property for the key 'query.fuzzy.transpositions' 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