Skip to main content

AutoML library for solving text -> label task

Project description

AutoML NLP library

use to find baseline in text to label task

Source code

Usage

from sklearn.metrics import accuracy_score

from nlp_automl.auto_ml_pipeline import AutoMLPipeline

config = {
    'text_column': 'message',
    'target_column': 'intent',
    'dataset': dataset,
    'evaluator': accuracy_score,
}
automl = AutoMLPipeline(config=config)
best_params, pipeline = automl.find_solution(timeout=200)
preprocessor, vectorizer, model = pipeline

More detailed usage example ./examples/intent_prediction.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

NLP AutoML-0.0.tar.gz (5.4 kB view details)

Uploaded Source

File details

Details for the file NLP AutoML-0.0.tar.gz.

File metadata

  • Download URL: NLP AutoML-0.0.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.7

File hashes

Hashes for NLP AutoML-0.0.tar.gz
Algorithm Hash digest
SHA256 c542800255482bcad870e2c7668bc5d62d7d3b45da3b30134dfcce6e1ee590fa
MD5 d06b9c48174f653f1affcd4b96730d16
BLAKE2b-256 2bde4ffe877c1d44fdbb5e7c7f4456cfce05e5f1ab52af30ee3612980b8d309e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page