ModuleNotFoundError: No module named 'LabelBuilders'

thseol

Article: Idiosyncratic risk ranking using eXplainable AI

https://github.com/Refinitiv-API-Samples/Article.RD.XAI.Python.Explaining.Idiosyncratic.Risk

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# Label Builder

class LabelBuilders:

def __init__(self, beta_window) -> None:

self.beta_window = beta_window

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# Feature Engineering

import pandas as pd

import numpy as np

import torch

from LabelBuilders import LabelBuilder

from functools import reduce

from utilities import drop_features, study_features

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Error Message

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[4], line 8
      6 from sklearn.preprocessing import MinMaxScaler, OneHotEncoder
      7 from tqdm import tqdm
----> 8 from LabelBuilders import LabelBuilder
      9 from functools import reduce
     10 from utilities import drop_features, study_features

ModuleNotFoundError: No module named 'LabelBuilders'

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How to solve it?

Jirapongse

@thseol

I think the LabelBuilder is available on GitHub.

The FeatureEngineering.py uses this class: LabelBuilder.

The code in the question is different from GitHub. There is no LabelBuilders.

wasin.w

Hello @thseol

Thank you for contacting us. However, this Q&A forum is for Refinitiv APIs general usage questions only. Which Refinitiv APIs that you are using?

By the way, the "ModuleNotFoundError: No module named 'LabelBuilders'" indicates that the Python cannont find the LabelBuilders library in the environment. Did you install the library yet?

thseol

Download the script from https://github.com/Refinitiv-API-Samples/Article.RD.XAI.Python.Explaining.Idiosyncratic.Risk

change the filename extension from .py to .ipynb

Running on jupyter notebook

thseol

Thank you for answering