Diagram
AttributeError: module ‘tensorflow.python.estimator.estimator_lib’ has no attribute ‘LinearRegressor’ error typically occurs when you are “using an outdated version of TensorFlow.”
How to fix it?
To fix the AttributeError: module ‘tensorflow.python.estimator.estimator_lib’ has no attribute ‘LinearRegressor’ error, upgrade your TensorFlow version using this command: pip install –upgrade tensorflow
To check the currently installed version of TensorFlow in your system, run the following code:
import tensorflow as tf
print(tf.__version__)Output
Our installed version is 2.x.x which is the kind of latest version.
Get back to the error; now, we can use the ‘LinearRegressor’ attribute in our program like this:
import tensorflow as tf
import numpy as np
# Simulated data: number of rooms
features = {'rooms': np.array([1, 2, 3, 4, 5])}
# Simulated labels: house prices
labels = np.array([100, 150, 200, 250, 300])
# Define the feature columns
feature_columns = [tf.feature_column.numeric_column(key='rooms')]
# Instantiate the LinearRegressor estimator
linear_regressor = tf.estimator.LinearRegressor(
feature_columns=feature_columns)I hope this will fix your error.
You might get the below warning.
WARNING:tensorflow: RegressionOutput.__init__ (from tensorflow.python.saved_model.model_utils.export_output) is deprecated and will be removed in a future version.
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Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.
