Skip to content

Latest commit

 

History

History
46 lines (29 loc) · 893 Bytes

README.rst

File metadata and controls

46 lines (29 loc) · 893 Bytes

gpam_training

Module to facilitate the integration of a sklearn training pipeline into a deploy and retraining system

Install

pip install gpam_training

Usage

Multilabel training

First of all, it is needed to have in memory a dataframe from pandas. The csv must be in the following format:

process_id,page_text_extract,tema
1,Lorem ipsum dolor sit amet,1
2,Lorem ipsum dolor sit amet,2
2,Lorem ipsum dolor sit amet,3
42,Lorem ipsum dolor sit amet,2

To train the model, do as shown bellow:

from gpam_training import MultilabelTraining
import pandas as pd

df = pd.read_csv('example.csv')
model = MultilabelTraining(df)
model.train()

To dump a pickle file with the trained model, do the following:

model_pickle = model.get_pickle()