function
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![[Resolved] The term ‘scriptcs’ is not recognized as a cmdlet, function, or script file](https://i0.wp.com/jscommands.com/wp-content/uploads/2024/04/1712206657_maxresdefault.jpg?resize=400%2C266&ssl=1)
[Resolved] The term ‘scriptcs’ is not recognized as a cmdlet, function, or script file
[Fix] The term ‘scriptcs’ is not recognized Fixing the term ‘scriptcs’ is not recognized error If you are receiving the…
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TensorFlow Tutorial: Implementing the ReLU Activation Function
112: relu | TensorFlow | Tutorial 112: relu | TensorFlow | Tutorial When working with neural networks and deep learning,…
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Python Program to Calculate Factorial of Any Number Using Recursive Function
Calculating Factorials in Python Calculate the factorial of any number using recursive function in Python Factorial of a non-negative integer…
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TensorFlow Tutorial: Implementing log_sigmoid Function
81: log_sogmoid | TensorFlow | Tutorial Introduction to log_sigmoid in TensorFlow When working with machine learning models, activation functions play…
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HYLP-16: Advanced Water PET Bottle Unscrambler with Automated Function
Automatic Bottle Unscrambler for Water PET Bottles HYLP-16 Automatic Bottle Unscrambler for Water PET Bottles HYLP-16 If you are in…
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Differences between CSS Media Queries and CSS Clamp Function
CSS Media Query vs CSS Clamp Function body { font-family: Arial, sans-serif; margin: 0; padding: 0; } .container { max-width:…
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![Function Title: Create Confusion Matrix
def create_confusion_matrix(actual, predicted, classes):
matrix = [[0 for _ in range(len(classes))] for _ in range(len(classes))]
for i in range(len(actual)):
actual_index = classes.index(actual[i])
predicted_index = classes.index(predicted[i])
matrix[actual_index][predicted_index] += 1
return matrix](https://i0.wp.com/jscommands.com/wp-content/uploads/2024/03/1710174224_maxresdefault.jpg?resize=400%2C266&ssl=1)
Function Title: Create Confusion Matrix def create_confusion_matrix(actual, predicted, classes): matrix = [[0 for _ in range(len(classes))] for _ in range(len(classes))] for i in range(len(actual)): actual_index = classes.index(actual[i]) predicted_index = classes.index(predicted[i]) matrix[actual_index][predicted_index] += 1 return matrix
Understanding Confusion Matrix Function in Python Confusion Matrix Function in Python In machine learning, a confusion matrix is a table…
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Securing a String and Executing a Function using the Evervault Node.js SDK
Encrypting a String and Running a Function with the Evervault Node.js SDK Encrypting a String and Running a Function with…
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Exploring Python’s Filter Function to Find Perfect Squares! 🐍🔍 #python #codingtips #coding #dev
Mastering Python’s Filter Function: Perfect Squares! 🐍🔍 Mastering Python’s Filter Function: Perfect Squares! 🐍🔍 Python’s filter function is a powerful…
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Nesting a Function Inside Another in JavaScript
Return a Nested Function in JavaScript Return a Nested Function in JavaScript JavaScript allows you to nest functions within other…
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