davidmcclure

cwu.edu 2494709
wikifoundry.com 2145313
iit.edu 1930197
highlands.edu 1868155
uwaterloo.ca 1814597
georgetown.edu 1686941
wichita.edu 1548553
uoguelph.ca 1389396
carleton.edu 1261968
baylor.edu 1210951

davidmcclure

// Switch from geometric --> semantic zoom at this size.
const MAX_DISPLAY_SIZE = 50;

// Min picking point size, to produce "envelope" around small points.
const MIN_PICKING_SIZE = 10;

// Above this size, add a border to the point.
const BORDER_THRESHOLD_SIZE = 30;

davidmcclure

class Field(PointIndex):

    fields = {
        'title': {
            'type': 'text',
            'term_vector': 'with_positions_offsets',
        },
        'description': {
            'type': 'text',
            'term_vector': 'with_positions_offsets',

davidmcclure

root
 |-- article_id: long (nullable = true)
 |-- text: string (nullable = true)
 |-- tokens: array (nullable = true)
 |    |-- element: string (containsNull = true)
 |-- clf_tokens: array (nullable = true)
 |    |-- element: string (containsNull = true)
 |-- first_ts: integer (nullable = true)
 |-- url: string (nullable = true)
 |-- domain: string (nullable = true)

davidmcclure

[Row(pair=Row(t_tokens=['hamlet', 'on', 'friendship'], a_tokens=['shakespeare']), logp=-39.098968505859375, work_id=223338697031),
 Row(pair=Row(t_tokens=['hamlet', 'grosse', 'oper', 'in', '5', 'akten', 'und', '7', 'tableaux'], a_tokens=['shakespeare']), logp=-116.32585144042969, work_id=42949996797),
 Row(pair=Row(t_tokens=['hamlet', 'first', 'quarto', '1603'], a_tokens=['shakespeare']), logp=-50.56448745727539, work_id=42949996797),
 Row(pair=Row(t_tokens=['hamlet', 'tragedy', 'in', 'five', 'acts'], a_tokens=['shakespeare']), logp=-56.80743408203125, work_id=42949996797),
 Row(pair=Row(t_tokens=['hamlet', 'first', 'quarto', '1603'], a_tokens=['shakespeare']), logp=-50.56448745727539, work_id=42949996797),
 Row(pair=Row(t_tokens=['hamlet', 'tragedy', 'in', 'five', 'acts'], a_tokens=['shakespeare']), logp=-56.80743408203125, work_id=42949996797),
 Row(pair=Row(t_tokens=['hamlet', 'tragedy'], a_tokens=['shakespeare']), logp=-34.793853759765625, work_id=42949996797),
 Row(pair=Row(t_tokens=['hamlet', 'ishkhan',

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davidmcclure