I am in the health cost regression task from the machine learning path. I am in the step where I want to create my model and for that I have to normalize my datas. If I wanna do that like its in the tensorflow doc Basic regression: Predict fuel efficiency | TensorFlow Core then I get the following error:
module 'sklearn.preprocessing' has no attribute
Here is how my code looks like for that issue:
normalizer = preprocessing.Normalization(axis=-1)
Here are my imports (I added more eventually possible imports but nothing worked):
# Import libraries. You may or may not use all of these. !pip install -q git+https://github.com/tensorflow/docs import matplotlib.pyplot as plt import numpy as np import pandas as pd from sklearn import preprocessing try: # %tensorflow_version only exists in Colab. %tensorflow_version 2.x except Exception: pass import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers from tensorflow.keras.layers import Normalization import tensorflow_docs as tfdocs import tensorflow_docs.plots import tensorflow_docs.modeling from keras import backend from keras.engine import base_preprocessing_layer
Would be thankful for some advice.