Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Hey! I Have My Custom Model, That Uses Models From Populars Frameworks Inside, Such As Lgbm, Catboost Etc. Also It Have Multiple Instances Of One Models Of One Framework.


` import numpy as np
import pandas as pd

from sklearn.metrics import roc_auc_score
from sklearn.model_selection import train_test_split

from lightautoml.tasks import Task
from lightautoml.automl.presets.tabular_presets import TabularAutoML

import clearml

cml_task = clearml.Task.get_task(clearml.config.get_remote_task_id())
logger = cml_task.get_logger()

data = pd.read_csv("./examples/data/sampled_app_train.csv")
....

automl = TabularAutoML(task=Task('binary'))
cml_task.connect(automl)
oof_pred = automl.fit_predict(train_data, roles={"target": "TARGET"})
logger.report_single_value("ROCAUC test", roc_auc_score(test_data["TARGET"].values, test_pred.data[:, 0]))
logger.flush() `
TabularAutoML is a custom class that uses some popular frameworks deep inside
https://github.com/sb-ai-lab/LightAutoML

  
  
Posted 2 years ago
170 Views
0 Answers
2 years ago
one year ago