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schema[].name "neuralnet"
schema[].summaryclass[].name "default"
schema[].summaryclass[].fields[].name "rankfeatures"
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schema[].summaryclass[].fields[].name "summaryfeatures"
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schema[].summaryclass[].name "attributeprefetch"
schema[].summaryclass[].fields[].name "uniqueRCount"
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schema[].summaryclass[].fields[].name "pinned"
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schema[].summaryclass[].fields[].name "createdAt"
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schema[].summaryclass[].fields[].name "updatedAt"
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schema[].summaryclass[].fields[].name "uvCount"
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schema[].summaryclass[].fields[].name "dvCount"
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schema[].summaryclass[].fields[].name "aVoteCount"
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schema[].summaryclass[].fields[].name "rCount"
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schema[].summaryclass[].fields[].name "uniqueRACount"
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schema[].summaryclass[].fields[].name "rTo"
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schema[].summaryclass[].fields[].name "markedAsAAt"
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schema[].summaryclass[].fields[].name "rankfeatures"
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schema[].summaryclass[].fields[].name "summaryfeatures"
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schema[].rankprofile[].name "default"
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schema[].rankprofile[].hasRankFeatures false
schema[].rankprofile[].input[].name "query(W_0)"
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schema[].rankprofile[].input[].name "query(b_0)"
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schema[].rankprofile[].input[].name "query(W_1)"
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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"
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schema[].rankprofile[].hasRankFeatures false
schema[].rankprofile[].name "defaultRankProfile"
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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"
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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()"
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