ngocbienml 1.0

An ecosystem for machine learning project

This is a machine learning tools with pipeline.

Here some example to run machine learning project:

from ngocbienml import MyPipeline
pipeline = MyPipeline()
pipeline.fit(data, target)
pipeline.score(new_data, new_target)

note that data must be data frame and target is a binary target for this beta version.

You can use to save and reload pipeline for a long usage.

from joblib import dump, load
dump(pipeline, path)
pipeline = load(path)
pipeline.score(data, target)

You can use include many preprocessing classes like Fillna, Scale, or Labelencoder in your customized pipeline. Note that actually, you can not use full labelencoder by sklearn

from ngocbienml import Scale, Fillna, Labelencoder, ModelWithPipeline
from sklearn.pipeline import Pipeline
pipeline = Pipeline([('label_encoder', Labelencoder()),
                    ('fillna', Fillna()), 
                    ('scale', Scale()),
                    ('model', ModelWithPipeline())])
pipeline.fit(data, target)
pipline.score(test,  y_test)

from ngocbienml import PipelineKfold
pipeline = PipelineKfold()
pipeline.fit(data, target)
pipline.score(test, y_test)