scikit-learn-pipeline-utils 0.0.4

Custom Pipeline Transformers for Sklearn Pipelines

Helpful Package For Custom Transformers To Use In Sklearn Pipelines

Installation

pip install scikit-learn-pipeline-utils

Quick Start

from sklearn_pipeline_utils import DFSelector
from sklearn.pipeline import Pipeline
import pandas as pd

df = pd.DataFrame({
    "col1": ["a", "b", "a"],
    "col2": [1, 2, 3]
})

pipeline = Pipeline([
    ("dfselectcol1", DFSelector("col1"))
    ])

print(pipeline.transform(df))
'''
expected result:
  col1
0    a
1    b
2    a
'''

Dataframe Transformers List

1. DFSelector
2. DFObjectSelector
3. DFFeatureUnion
4. DFImputer
5. DFImputerMostFrequent
6. DFOrdinalEncoder
7. DFStandardScaler