AppDividend

Diagram TypeError: doc2bow expects an array of unicode tokens on input, not a single string error typically occurs when the “doc2bow() function from the Gensim library expects an array of unicode tokens as input, but you are providing a single string.” The doc2bow() function is used to create a bag-of-words representation of a document. A … Read more

AttributeError: type object ‘neuralcoref.neuralcoref.array’ has no attribute ‘__reduce_cython__’ error typically occurs when there’s a compatibility issue, possibly between the versions of neuralcoref and spaCy you are using, or perhaps with some other part of your environment. Here are some more specific troubleshooting steps to fix the error. Upgrade Neuralcoref and spaCy Upgrading to the latest … Read more

Diagram Unable to Load the Spacy Model encoreweblg on Google Colab error occurs when “there is an issue while you are working on Google Colab and you try to load the Spacy model encoreweblg.” When working with Google Colab, installing and using the en_core_web_lg model from spaCy might require additional steps compared to running the code … Read more

Diagram Failed building wheel for spacy error typically occurs when trying to “install the spacy library, and the installation process encounters issues.” The main reason for the Failed building wheel for spacy error is when pip is unable to build a wheel file for the spaCy library. Common reasons for the error Incorrect Python Version: spaCy … Read more

OSError: Can’t find model ‘en’ error typically occurs in Python when the “English language model you’re trying to use with spaCy hasn’t been installed in your machine.” When you install spaCy, the core library is installed, but language models must be downloaded separately. How to fix the error Here are some steps to fix this … Read more

ImportError: No module named ‘spacy.en’ error occurs in Python when the “spacy library is not installed on your system.” How to fix it? To fix the ImportError: No module named ‘spacy.en’ error, install the “spacy” library in your system. pip install spacy Once spaCy is installed, you should be able to run my code without … Read more

OSError: [E050] Can’t find model ‘en_core_web_sm’ error occurs when “spacy model en_core_web_sm is not installed on your system.” This model is needed to do some of my tasks, such as named entity recognition and part-of-speech tagging. How to fix it? To fix the OSError: [E050] Can’t find model ‘en_core_web_sm’ error, “install the en_core_web_sm model.” To … Read more

ImportError: No module named ‘pyLDAvis’ error typically occurs in Python when “pyLDAvis library is not installed in the environment you are working in.” How to fix it? To fix the ImportError: No module named ‘pyLDAvis’, “install the pyLDAvis library in your system or environment.” pip install pyLDAvis Once pyLDAvis is installed, you should be able … Read more

AttributeError: ‘list’ object has no attribute ‘copy’ error typically occurs in Python because the “list copy() method does not exist in python 2.x.” The copy method was added in Python 3.3. If you’re using a version prior to this (which is unlikely but possible), the copy() method will not be available. How to fix it? … Read more

To convert bytes to int in Python, you can “use the int.from_bytes() method.” It takes bytes, byteorder, signed, * as parameters and returns the integer represented by the given array of bytes. Syntax int.from_bytes(bytes, byteorder, *, signed=False) Parameters bytes: It is a byte object. byteorder: It determines the order of representation of the integer value. The byteorder can … Read more

The error loading preloads: could not find renderer typically occurs while working with the “Jupyter Notebook extension when there might be an error with the installation or compatibility of the extension.” How to fix it? To fix the error loading preloads: could not find renderer, press the ctrl+shift+P command and Reload a window. If you just … Read more

“There was an error checking the latest version of pip” error occurs in Python when there are “bugs in the pip module while installing the module.” The message is simply informing you that pip couldn’t check for its latest version due to network issues or because internet access is disabled (as is the case in this … Read more

JSONDecodeError: Expecting value: line 1 column 1 (char 0) error typically occurs when you “parse a string as JSON, but the string is not in a valid JSON format.” Common reasons Empty Input: The JSON data you’re trying to decode is an empty string. Invalid Input: The data you’re trying to decode isn’t JSON-formatted. Source … Read more

Python’s “requests” module makes HTTP requests to web services or APIs. It provides a simple and convenient way to send HTTP requests and handle responses, making it easier to interact with web services than using the built-in urllib library. Requests module allows you to send HTTP/1.1 requests exceptionally easily. There’s no need to manually add … Read more

TypeError: ‘numpy.float64’ object cannot be interpreted as an integer error typically occurs when “you try to use a floating-point number where an integer is expected.” Many functions in the numpy library expect integer arguments for certain parameters. When you mistakenly provide a floating-point value (like numpy.float64) to such functions, you encounter the error. Common scenarios … Read more

TypeError: ‘numpy.float64’ object is not callable error typically occurs in Python when you use the “multiplication without using * sign” or “overwrite the sum() function with a numpy.float64 object“. Reason 1: Multiplication without using * sign import numpy as np # Define arrays x = np.array([1, 2, 3, 4, 5]) y = np.array([12, 14, 14, … Read more

Diagram The Could not load dynamic library ‘cudart64_101.dll’ on tensorflow CPU-only installation error occurs when TensorFlow cannot load the CUDA runtime libraries required for GPU acceleration. These libraries are typically installed with NVIDIA’s CUDA toolkit. This error usually occurs when TensorFlow is installed without the appropriate CUDA and cuDNN libraries or when these libraries are not … Read more

Tensorflow ValueError Failed to convert a NumPy array to a Tensor Unsupported object type float error occurs when you are “converting a NumPy array into a TensorFlow tensor because it contains an unsupported data type (in this case, float).” Here are the solutions that you can work on to fix the ValueError Failed to convert … Read more

  ModuleNotFoundError: no module named ‘tensorflow.contrib’ error occurs when you are using “TensorFlow version 2.x.x and tf.contrib no longer exist in Tensorflow 2.x.x because its modules were moved.” How to fix it? To fix the ModuleNotFoundError: no module named ‘tensorflow.contrib’ error, install the “tensorflow-addons” module. pip install tensorflow-addons TensorFlow Addons is a repository of contributions … Read more

Diagram ImportError: cannot import name ‘docevents’ from ‘botocore.docs.bcdoc’ error occurs when the “version of the botocore library installed on your system is incompatible with the version of the AWS CLI that CodeBuild is using.” To fix the ImportError: cannot import name ‘docevents’ from ‘botocore.docs.bcdoc’ error, “upgrade the version of the AWS CLI that CodeBuild is … Read more

ImportError: cannot import name ‘pad_sequences’ from ‘keras.preprocessing.sequence’ error occurs because the “pad_sequences function has been moved from the keras.preprocessing.sequence module to the keras.utils module.“ How to fix it? To fix the ImportError: cannot import name ‘pad_sequences’ from ‘keras.preprocessing.sequence’ error, import “pad_sequences” from “keras.utils” module. from keras.utils import pad_sequences You can also import pad_sequences from the … Read more

  AttributeError: module ‘tensorflow’ has no attribute ‘reset_default_graph’ error occurs when you try to “reset the default graph in TensorFlow using the reset_default_graph() function, but the function is not available in the current version of TensorFlow that you are using.” The reset_default_graph() function is a utility function in TensorFlow that clears the default graph and … Read more

Diagram Tensorflow: None of the MLIR optimization passes are enabled (registered 1) warning is about MLIR (Multi-Level Intermediate Representation) optimization passes in TensorFlow. This warning is typically informational and doesn’t necessarily indicate a problem with your code or model. MLIR is a compiler infrastructure that aims to provide optimizations at different levels of abstraction. TensorFlow … Read more

The error “Cannot convert a symbolic Tensor (2nd_target:0) to a Numpy Array” occurs when there is a “version mismatch between Numpy and TensorFlow.” Mixing symbolic tensors with non-symbolic types, like NumPy arrays, can lead to this error. In TensorFlow, symbolic tensors are used to define a computational graph, and their values are not immediately known. … Read more

AttributeError: module ‘google.protobuf.descriptor’ has no attribute ‘_internal_create_key’ error typically occurs when you are using an outdated version of the “protobuf” package. It can occur when there is a version mismatch between the “protobuf” and “protoc” libraries. How to fix it? To fix the AttributeError: module ‘google.protobuf.descriptor’ has no attribute ‘_internal_create_key’ error, “upgrade the protobuf” package … Read more

ImportError: No module named ‘_pywrap_tensorflow_internal’ error occurs when there’s an issue with the TensorFlow installation. This can be due to an incompatible version, a corrupted installation, or a problem with the specific environment you are using. Here are some solutions you can take to troubleshoot the issue: Solution 1: Reinstall TensorFlow Simply reinstalling TensorFlow can … Read more

ModuleNotFoundError: No module named ‘tools.nnwrap’ error typically occurs when “installing torch not is working as expected.” How to fix it? To fix the ModuleNotFoundError: No module named ‘tools.nnwrap’, install the “pytorch” library using this command: pip3 install https://download.pytorch.org/whl/cu90/torch-1.1.0-cp36-cp36m-win_amd64.whl pip3 install https://download.pytorch.org/whl/cu90/torchvision-0.3.0-cp36-cp36m-win_amd64.whl To install the stable version of pytorch in Windows 10 for PyCharm, the following … Read more

RuntimeError: Can’t call numpy() on Variable that requires grad. Use var.detach().numpy() instead error occurs when you try to “convert a PyTorch tensor that has requires_grad=True to a NumPy array.” This is because NumPy does not support gradients, and calling numpy() on a tensor with gradients will cause an error. How to fix it? Here are … Read more

Diagram RuntimeError: “nll_loss_forward_reduce_cuda_kernel_2d_index” not implemented for ‘Int’ error occurs when “there’s an issue with the data types being used in your loss function, specifically the negative log-likelihood loss (nll_loss).” This error often happens when the target labels are passed as integers, but the loss function expects them to be in a different format. Common reasons … Read more

AttributeError: Module ‘TensorFlow’ has no attribute ‘set_random_seed’ error occurs when you try to “call the set_random_seed()” function on the TensorFlow version 2.x in which it does not exist.” How to fix it? To fix the AttributeError: Module ‘TensorFlow’ has no attribute ‘set_random_seed’ error, use the “tf.random.set_seed()” method if you are using TensorFlow version 2.x. You … Read more

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 … Read more

Diagram AttributeError: ‘module’ object has no attribute ‘mul’ error occurs because you “use the mul attribute, which was renamed in version 2.0 of TensorFlow.” To fix the AttributeError: ‘module’ object has no attribute ‘mul’ error, use the “tf.multiply()” function instead of “tf.mul()” function. Reproduce the error import tensorflow as tf # Define two tensors a … Read more

Diagram The tf-trt warning: could not find tensorrt occurs when “TensorRT is not installed on your machine.” TensorRT is a high-performance deep learning inference optimizer and runtime library developed by NVIDIA for production deployment. How to fix it? To fix the tf-trt warning: could not find tensorrt, install tensorrt using this command: pip install tensorrt … Read more

Diagram AttributeError: module ‘tensorflow’ has no attribute ‘test’ error occurs when the Python interpreter cannot find the ‘test’ attribute in the ‘tensorflow’ module. In the early days of TensorFlow, the ‘test’ attribute was a part of the TensorFlow module. It provided a testing framework for TensorFlow code, allowing users to write and run tests for … Read more

Diagram AttributeError: module ‘tensorflow’ has no attribute ‘variable_scope’ error occurs when you are using the ‘variable_scope’ attribute on TensorFlow version 2, and it does not exist because it is deprecated. How to fix it? To fix the AttributeError: module ‘tensorflow’ has no attribute ‘variable_scope’ error, use a “tf.Variable” directly or use Keras layers and models … Read more

Diagram AttributeError: module ‘tensorflow’ has no attribute ‘layers’ error occurs when you are using “tf.layers.Sequential”, which is deprecated and removed from TensorFlow version 2. To fix the AttributeError: module ‘tensorflow’ has no attribute ‘layers’ error, use the “tf.keras.Sequential” instead of “tf.layers.Sequential“. With the release of TensorFlow 2.0, things took a turn. The ‘layers’ module was … Read more

Diagram AttributeError: ‘Sequential’ Object Has No Attribute ‘predict_classes’ error occurs because “you are using a version of Keras or TensorFlow where ‘predict_classes’ no longer exists.” In Keras, the ‘predict_classes’ was deprecated in Keras 2.3.0 and completely removed in Keras 2.4.0. Reproducing the error from keras.models import Sequential model = Sequential() y_pred = model.predict_classes(validation_data) Output AttributeError: … Read more

Diagram AttributeError: module tensorflow has no attribute ConfigProto error occurs in Python because, with the advent of TensorFlow 2.x, ConfigProto was removed from the TensorFlow module.  What is ConfigProto? ConfigProto is a configuration protocol used in TensorFlow 1.x versions. It handled session configuration, such as limiting resource use and facilitating logging. Changes from TensorFlow 1.x … Read more

Diagram ImportError: cannot import name ‘dataclass_transform’ error occurs when you are “trying to import a name or function called dataclass_transform from a module, but that name does not exist in the specified module.” Here are the different ways to fix the ImportError: cannot import name ‘dataclass_transform’: Solution 1: Upgrade to Python 3.7+ The dataclass was … Read more

ImportError: cannot import name ‘_representation’ error occurs because the “statsmodels” module is dependent upon several packages installed before it so that it can compile its modules. How to fix it? To fix the ImportError: cannot import name ‘_representation’ error, follow the below steps: Uninstall the “statsmodels” module Install the dependencies such as a “numpy”, “scipy”, … Read more

Diagram “FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version” error means that the Int64Index class in the pandas library is deprecated and will eventually be removed. The “Int64Index class was deprecated in version 1.1.0 of the Pandas library, and it is scheduled to be removed in version 1.3.0.” This … Read more

Diagram AttributeError: ‘Pipeline’ object has no attribute ‘fit_resample’ error occurs when the Pipeline object you are trying to use does not have an attribute called “fit_resample” because the “fit_resample” attribute was introduced in version 0.22 of the scikit-learn library, but you are using an older version. How to fix it? To fix the AttributeError: ‘Pipeline’ … Read more

Diagram AttributeError: ‘Simple_Imputer’ object has no attribute ‘fill_value_categorical’ error occurs when Simple_Imputer class does not have an attribute called “fill_value_categorical”. The “fill_value_categorical” attribute was removed in version 0.24 of the scikit-learn library. How to fix it? To fix the AttributeError: ‘Simple_Imputer’ object has no attribute ‘fill_value_categorical’ error, use the “fill_value” attribute instead of the “fill_value_categorical” … Read more

Diagram AttributeError: ‘RandomUnderSampler’ object has no attribute ‘fit_resample’ error occurs because you are using an “older version of imbalanced-learn”. The “fit_resample” attribute was introduced in version 0.8 of the imbalanced-learn library, but you are using an older version. How to fix it? To fix the AttributeError: ‘RandomUnderSampler’ object has no attribute ‘fit_resample’ error, “upgrade the … Read more

Diagram AttributeError: ‘SMOTE’ object has no attribute ‘fit_sample’ error occurs when you “try to call the fit_sample() method on a SMOTE object from the imbalanced-learn library, but it does not exist.” To fix the AttributeError: ‘SMOTE’ object has no attribute ‘fit_sample’ error, use the “fit_resample()” method instead of “fit_sample()” method. Reproduce the error from imblearn.over_sampling … Read more

Diagram AttributeError: ‘module’ object has no attribute ‘choice’ error typically occurs when you try to “access the choice() function from a module that doesn’t have that attribute.” How to fix it? To fix the AttributeError: ‘module’ object has no attribute ‘choice’ error, ensure that the module you are trying to use exists and that the … Read more