labels.facet_filetype_txt=filetype:txt\t\
labels.facet_filetype_others=filetype:others\n\

# ranking
rank.fusion.window_size=200
rank.fusion.rank_constant=20
rank.fusion.threads=-1
rank.fusion.score_field=rf_score

# acl
smb.role.from.file=true
smb.available.sid.types=1,2,4:2,5:1
file.role.from.file=true
ftp.role.from.file=true

# backup

    /** The key of the configuration. e.g. -1 */
    String RANK_FUSION_THREADS = "rank.fusion.threads";

    /** The key of the configuration. e.g. rf_score */
    String RANK_FUSION_score_field = "rank.fusion.score_field";

    /** The key of the configuration. e.g. true */
    String SMB_ROLE_FROM_FILE = "smb.role.from.file";

public class QueryFieldConfig {

    private static final Logger logger = LogManager.getLogger(QueryFieldConfig.class);

    public static final String SCORE_FIELD = "score";

    public static final String DOC_SCORE_FIELD = "_score";

    public static final String SITE_FIELD = "site";

    public static final String INURL_FIELD = "inurl";

    protected static final String SCORE_SORT_VALUE = "score";

    protected String[] responseFields;

import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.opensearch.index.query.functionscore.ScoreFunctionBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.rescore.QueryRescorerBuilder;

public class PopularWordsRequest extends Request<PopularWordsResponse> {
    private String index = null;

    private int size = 10;

    private final List<String> tags = new ArrayList<>();

        // set query.
        final QueryBuilder q = buildQuery(query, fields);

        // set function score
        final QueryBuilder queryBuilder = buildFunctionScoreQuery(query, q);
        builder.addSort("_score", SortOrder.DESC);

        // set filter query.
        final List<QueryBuilder> filterList = new ArrayList<>(10);
        if (!tags.isEmpty()) {
            filterList.add(buildFilterQuery(FieldNames.TAGS, tags));

### Major Features and Improvements

*   Added F-Score metrics `tf.keras.metrics.FBetaScore`, `tf.keras.metrics.F1Score`, and `tf.keras.metrics.R2Score`.
*   Added activation function `tf.keras.activations.mish`.