Submitted models for IEST@WASSA-2018.

Release contains models used in creating the submissions for IEST@WASSA-2018. You can load these models using following code segment.

from tklearn.utils import load_pipeline

pipeline = load_pipeline(PATH_TO_MODEL_DIR)

y_pred = pipeline.predict(X)

Here PATH_TO_MODEL_DIR is the path to unzipped directory containing the model files. pipeline is an instance of sklearn.pipeline.Pipeline

Please note that models are under Creative Commons Attribution - Non Commercial 2.0 Generic license.