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add a new example#14

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Merged
montanalow merged 2 commits intomasterfrommontana/api
Apr 17, 2022
Merged

add a new example#14

montanalow merged 2 commits intomasterfrommontana/api
Apr 17, 2022

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montanalow
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@montanalowmontanalow requested a review fromlevkkApril 17, 2022 04:32

from pgml.exceptions import PgMLException
from pgml.sql import q

def flatten(S):
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Are you sure this won't blow the stack on a large dataset?

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It’s called per row, and I haven’t seen datasets with more than 4D arrays.

SELECT models.*
FROM pgml.models
WHERE project_id = {q(project.id)}
ORDER by models.metrics->>{q(metric)} DESC
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@levkklevkkApr 17, 2022
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Why notflatten normalize the structure into the table?

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Relevant metrics are different depending on the objective. We could have another join table to hold just metrics per model, but that seems like overkill just yet.

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@levkklevkkApr 17, 2022
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I was just thinking of making them nullable and only fill in the relevant columns for the model being trained.

---
--- Predict
---
CREATE OR REPLACE FUNCTION pgml.predict(project_name TEXT,VARIADICfeaturesDOUBLE PRECISION[])
CREATE OR REPLACE FUNCTION pgml.predict(project_name TEXT, featuresNUMERIC[])
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I'm wondering about this because variadic allows us to pass columns as arguments, e.g.:

SELECTpgml.predict('Red Wine Quality',quality_wine_red.acidity,quality_wine_red.color, ...)FROM quality_wine_redWHERE ...

I see this to be the more likely use case than passing in some raw numbers.

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That’s true, but you can always put those columns in an array just like this, and having the features as a single param will allow us to extend the API with additional Paramus in the future if we need.

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Bump the version inpgml/__init__.py so this gets released to Pypi.

@montanalowmontanalow merged commit53c7e43 intomasterApr 17, 2022
@montanalowmontanalow deleted the montana/api branchMay 4, 2022 17:34
Sasasu added a commit to Sasasu/postgresml that referenced this pull requestAug 18, 2023
pgml is not compatible with plpython, if using both pgml and plpython in thesame session, postgresql will crash.minimum reproducible code:```sqlSELECT pgml.embed('intfloat/e5-small', 'hi mom');create or replace function pyudf()returns int as$$return 0$$ language 'plpython3u';```the call stack:``` Stack trace of thread 161970: #0  0x00007efc1429edb8 PyImport_Import (libpython3.9.so.1.0 + 0x9edb8)postgresml#1  0x00007efc1429f125 PyImport_ImportModule (libpython3.9.so.1.0 + 0x9f125)postgresml#2  0x00007efb04b0f496 n/a (plpython3.so + 0x10496)postgresml#3  0x00007efb04b1039d plpython3_validator (plpython3.so + 0x1139d)postgresml#4  0x0000559d0cdbc5c2 OidFunctionCall1Coll (postgres + 0x6465c2)postgresml#5  0x0000559d0c9d68bb ProcedureCreate (postgres + 0x2608bb)postgresml#6  0x0000559d0ca5030c CreateFunction (postgres + 0x2da30c)postgresml#7  0x0000559d0ce1c730 n/a (postgres + 0x6a6730)postgresml#8  0x0000559d0cc5a030 standard_ProcessUtility (postgres + 0x4e4030)postgresml#9  0x0000559d0cc545ed n/a (postgres + 0x4de5ed)postgresml#10 0x0000559d0cc546e7 n/a (postgres + 0x4de6e7)postgresml#11 0x0000559d0cc54beb PortalRun (postgres + 0x4debeb)postgresml#12 0x0000559d0cc55249 n/a (postgres + 0x4df249)postgresml#13 0x0000559d0cc576f0 PostgresMain (postgres + 0x4e16f0)postgresml#14 0x0000559d0cbc3e9c n/a (postgres + 0x44de9c)postgresml#15 0x0000559d0cbc50aa PostmasterMain (postgres + 0x44f0aa)postgresml#16 0x0000559d0c8ce7d2 main (postgres + 0x1587d2)postgresml#17 0x00007efc18427cd0 n/a (libc.so.6 + 0x27cd0)postgresml#18 0x00007efc18427d8a __libc_start_main (libc.so.6 + 0x27d8a)postgresml#19 0x0000559d0c8cee15 _start (postgres + 0x158e15)```this is because PostgreSQL is using dlopen(RTLD_GLOBAL). this will parse someof symbols into the previous opened .so file, but the others will use arelative offset in pgml.so, and will cause a null-pointer crash.this commit hide all symbols except the UDF symbols (ends with `_wrapper`) andthe magic symbols (`_PG_init` `Pg_magic_func`). so dlopen(RTLD_GLOBAL) willparse the symbols to the correct position.
SilasMarvin pushed a commit that referenced this pull requestOct 5, 2023
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