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Richard Geoghegan RichardGeoghegan

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{
"embeddings": [
{
"tensorName": "word embeddings",
"tensorShape": [
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],
"tensorPath": "https://gist.githubusercontent.com/RichardGeoghegan/720cb8a88009b8180cc150d1e4d63dfc/raw/374c2182f0204f7ad7d52fb1a38f2b23ab7fe7a6/businessline_word_vect.tsv",
"metadataPath": "https://gist.githubusercontent.com/RichardGeoghegan/720cb8a88009b8180cc150d1e4d63dfc/raw/374c2182f0204f7ad7d52fb1a38f2b23ab7fe7a6/businessline_word_freq.tsv"
{
"embeddings": [
{
"tensorName": "loops: n=5000 z scores",
"tensorShape": [
5000,
128
],
"tensorPath": "https://gist.githubusercontent.com/RichardGeoghegan/720cb8a88009b8180cc150d1e4d63dfc/raw/032ac13f61d0bf26a65255df82e9e476ae2ee3ea/z_mu_1.tsv",
"metadataPath": "https://gist.githubusercontent.com/RichardGeoghegan/720cb8a88009b8180cc150d1e4d63dfc/raw/624cdccb51e49da3159854025ce7f49194edfc8f/z_hold_labels_1.tsv",
{
"embeddings": [
{
"tensorName": "5000 z scores holdout",
"tensorShape": [
5000,
128
],
"tensorPath": "https://gist.githubusercontent.com/RichardGeoghegan/720cb8a88009b8180cc150d1e4d63dfc/raw/032ac13f61d0bf26a65255df82e9e476ae2ee3ea/z_mu_1.tsv",
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word count
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a 2022199
please 1918756
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