schema[].name "neuralnet"
schema[].field[].name "uniqueRCount"
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schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "pinned"
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schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "createdAt"
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schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "updatedAt"
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schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "uvCount"
schema[].field[].type "int"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "dvCount"
schema[].field[].type "int"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "aVoteCount"
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schema[].field[].index false
schema[].field[].name "rCount"
schema[].field[].type "int"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "uniqueRACount"
schema[].field[].type "int"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "rTo"
schema[].field[].type "string"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "markedAsAAt"
schema[].field[].type "long"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "normalizedTextScore"
schema[].field[].type "float"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "t"
schema[].field[].type "float"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "relevance"
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schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "normalizedCS"
schema[].field[].type "float"
schema[].field[].attribute true
schema[].field[].index false
schema[].field[].name "laAt"
schema[].field[].type "long"
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schema[].field[].index false
schema[].field[].name "hsScore"
schema[].field[].type "double"
schema[].field[].attribute true
schema[].field[].index false
schema[].fieldset[].name "[document]"
schema[].fieldset[].field[] "aVoteCount"
schema[].fieldset[].field[] "createdAt"
schema[].fieldset[].field[] "dvCount"
schema[].fieldset[].field[] "hsScore"
schema[].fieldset[].field[] "laAt"
schema[].fieldset[].field[] "markedAsAAt"
schema[].fieldset[].field[] "normalizedCS"
schema[].fieldset[].field[] "normalizedTextScore"
schema[].fieldset[].field[] "pinned"
schema[].fieldset[].field[] "rCount"
schema[].fieldset[].field[] "rTo"
schema[].fieldset[].field[] "relevance"
schema[].fieldset[].field[] "t"
schema[].fieldset[].field[] "uniqueRACount"
schema[].fieldset[].field[] "uniqueRCount"
schema[].fieldset[].field[] "updatedAt"
schema[].fieldset[].field[] "uvCount"
schema[].summaryclass[].name "default"
schema[].summaryclass[].fields[].name "rankfeatures"
schema[].summaryclass[].fields[].type "featuredata"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "summaryfeatures"
schema[].summaryclass[].fields[].type "featuredata"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "documentid"
schema[].summaryclass[].fields[].type "longstring"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].name "attributeprefetch"
schema[].summaryclass[].fields[].name "uniqueRCount"
schema[].summaryclass[].fields[].type "double"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "pinned"
schema[].summaryclass[].fields[].type "integer"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "createdAt"
schema[].summaryclass[].fields[].type "int64"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "updatedAt"
schema[].summaryclass[].fields[].type "int64"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "uvCount"
schema[].summaryclass[].fields[].type "integer"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "dvCount"
schema[].summaryclass[].fields[].type "integer"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "aVoteCount"
schema[].summaryclass[].fields[].type "integer"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "rCount"
schema[].summaryclass[].fields[].type "integer"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "uniqueRACount"
schema[].summaryclass[].fields[].type "integer"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "rTo"
schema[].summaryclass[].fields[].type "longstring"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "markedAsAAt"
schema[].summaryclass[].fields[].type "int64"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "normalizedTextScore"
schema[].summaryclass[].fields[].type "float"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "t"
schema[].summaryclass[].fields[].type "float"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "relevance"
schema[].summaryclass[].fields[].type "float"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "normalizedCS"
schema[].summaryclass[].fields[].type "float"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "laAt"
schema[].summaryclass[].fields[].type "int64"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "hsScore"
schema[].summaryclass[].fields[].type "double"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "rankfeatures"
schema[].summaryclass[].fields[].type "featuredata"
schema[].summaryclass[].fields[].dynamic false
schema[].summaryclass[].fields[].name "summaryfeatures"
schema[].summaryclass[].fields[].type "featuredata"
schema[].summaryclass[].fields[].dynamic false
schema[].rankprofile[].name "default"
schema[].rankprofile[].hasSummaryFeatures false
schema[].rankprofile[].hasRankFeatures false
schema[].rankprofile[].input[].name "query(W_0)"
schema[].rankprofile[].input[].type "tensor(hidden[9],x[9])"
schema[].rankprofile[].input[].name "query(b_0)"
schema[].rankprofile[].input[].type "tensor(hidden[9])"
schema[].rankprofile[].input[].name "query(W_1)"
schema[].rankprofile[].input[].type "tensor(hidden[9],out[9])"
schema[].rankprofile[].input[].name "query(b_1)"
schema[].rankprofile[].input[].type "tensor(out[9])"
schema[].rankprofile[].input[].name "query(W_out)"
schema[].rankprofile[].input[].type "tensor(out[9])"
schema[].rankprofile[].input[].name "query(b_out)"
schema[].rankprofile[].input[].type "tensor(out[1])"
schema[].rankprofile[].input[].name "query(foo)"
schema[].rankprofile[].input[].type "tensor()"
schema[].rankprofile[].name "unranked"
schema[].rankprofile[].hasSummaryFeatures false
schema[].rankprofile[].hasRankFeatures false
schema[].rankprofile[].name "defaultRankProfile"
schema[].rankprofile[].hasSummaryFeatures false
schema[].rankprofile[].hasRankFeatures false
schema[].rankprofile[].input[].name "query(W_0)"
schema[].rankprofile[].input[].type "tensor(hidden[9],x[9])"
schema[].rankprofile[].input[].name "query(b_0)"
schema[].rankprofile[].input[].type "tensor(hidden[9])"
schema[].rankprofile[].input[].name "query(W_1)"
schema[].rankprofile[].input[].type "tensor(hidden[9],out[9])"
schema[].rankprofile[].input[].name "query(b_1)"
schema[].rankprofile[].input[].type "tensor(out[9])"
schema[].rankprofile[].input[].name "query(W_out)"
schema[].rankprofile[].input[].type "tensor(out[9])"
schema[].rankprofile[].input[].name "query(b_out)"
schema[].rankprofile[].input[].type "tensor(out[1])"
schema[].rankprofile[].input[].name "query(foo)"
schema[].rankprofile[].input[].type "tensor()"
schema[].rankprofile[].name "neuralNetworkProfile"
schema[].rankprofile[].hasSummaryFeatures false
schema[].rankprofile[].hasRankFeatures false
schema[].rankprofile[].input[].name "query(W_0)"
schema[].rankprofile[].input[].type "tensor(hidden[9],x[9])"
schema[].rankprofile[].input[].name "query(b_0)"
schema[].rankprofile[].input[].type "tensor(hidden[9])"
schema[].rankprofile[].input[].name "query(W_1)"
schema[].rankprofile[].input[].type "tensor(hidden[9],out[9])"
schema[].rankprofile[].input[].name "query(b_1)"
schema[].rankprofile[].input[].type "tensor(out[9])"
schema[].rankprofile[].input[].name "query(W_out)"
schema[].rankprofile[].input[].type "tensor(out[9])"
schema[].rankprofile[].input[].name "query(b_out)"
schema[].rankprofile[].input[].type "tensor(out[1])"
schema[].rankprofile[].input[].name "query(foo)"
schema[].rankprofile[].input[].type "tensor()"