Ejemplo n.º 1
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def test_t1_predict(rowid, colno, confidence):
    with analyzed_bayesdb_population(t1(), 1, 1) as (bdb, pop_id, gen_id):
        if rowid == 0: rowid = bayesdb_maxrowid(bdb, pop_id)
        bqlfn.bql_predict(bdb, pop_id, None, None, rowid, colno, confidence,
                          None)
Ejemplo n.º 2
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def test_t1_predict(rowid, colno, confidence):
    with analyzed_bayesdb_generator(t1(), 1, 1) as (bdb, generator_id):
        if rowid == 0: rowid = bayesdb_maxrowid(bdb, generator_id)
        bqlfn.bql_predict(bdb, generator_id, None, colno, rowid, confidence)
Ejemplo n.º 3
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def test_t1_predict(rowid, colno, confidence):
    with analyzed_bayesdb_generator(t1(), 1, 1) as (bdb, generator_id):
        if rowid == 0: rowid = bayesdb_maxrowid(bdb, generator_id)
        bqlfn.bql_predict(bdb, generator_id, None, colno, rowid, confidence)
Ejemplo n.º 4
0
def test_t1_predict(rowid, colno, confidence):
    with analyzed_bayesdb_population(t1(), 1, 1) as (bdb, pop_id, gen_id):
        if rowid == 0: rowid = bayesdb_maxrowid(bdb, pop_id)
        bqlfn.bql_predict(
            bdb, pop_id, None, None, rowid, colno, confidence, None)