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Fix LDA comment grammar #14800

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Fix LDA comment grammar #14800

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12 changes: 5 additions & 7 deletions machine_learning/linear_discriminant_analysis.py
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Original file line number Diff line number Diff line change
Expand Up @@ -311,7 +311,7 @@ def main():

print("-" * 100)

# Trying to get number of instances in classes and theirs means to generate
# Trying to get number of instances in classes and their means to generate
# dataset
counts = [] # An empty list to store instance counts of classes in dataset
for i in range(n_classes):
Expand All @@ -336,12 +336,12 @@ def main():
print("-" * 100)

print("Standard deviation: ", std_dev)
# print out the number of instances in classes in separated line
# Print the number of instances in each class on separate lines.
for i, count in enumerate(counts, 1):
print(f"Number of instances in class_{i} is: {count}")
print("-" * 100)

# print out mean values of classes separated line
# Print the mean value for each class on separate lines.
for i, user_mean in enumerate(user_means, 1):
print(f"Mean of class_{i} is: {user_mean}")
print("-" * 100)
Expand All @@ -361,8 +361,7 @@ def main():

# Calculating the value of actual mean for each class
actual_means = [calculate_mean(counts[k], x[k]) for k in range(n_classes)]
# for loop iterates over number of elements in 'actual_means' list and print
# out them in separated line
# Iterate over 'actual_means' and print each value on a separate line.
for i, actual_mean in enumerate(actual_means, 1):
print(f"Actual(Real) mean of class_{i} is: {actual_mean}")
print("-" * 100)
Expand All @@ -372,8 +371,7 @@ def main():
calculate_probabilities(counts[i], sum(counts)) for i in range(n_classes)
]

# for loop iterates over number of elements in 'probabilities' list and print
# out them in separated line
# Iterate over 'probabilities' and print each value on a separate line.
for i, probability in enumerate(probabilities, 1):
print(f"Probability of class_{i} is: {probability}")
print("-" * 100)
Expand Down