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eng1n3's Introduction

eng1n3

Description

Package that can create feature instances. At present there is one engine name EnginePandas which basically reads features from a file into a pandas dataframe and/or Numpy array. See the notebooks directory for examples.

The output of the engine can subsequently be used as input to Neural Net Models created by the m0d3ls package.

Example Usage

Pandas Engine

# Define Features
card = ft.FeatureSource('Card', ft.FEATURE_TYPE_STRING)
merchant = ft.FeatureSource('Merchant', ft.FEATURE_TYPE_STRING)

# Create TensorDefinition.
td = ft.TensorDefinition('Features', [card, merchant])

# Build a Pandas DataFrame from the TensorDefinition
with en.EnginePandas(num_threads=1) as e:
    df = e.df_from_csv(td, './file.csv', inference=False)

Requirements

PandasEngine

  • Pandas
  • Numpy
  • Numba

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