poly/poly_test.v (4)

25-25: Remove unnecessary print statement.

The print statement is not needed in a test function and should be removed to keep the test output clean.

-  println('Add result: ${result}')

---

33-33: Remove unnecessary print statement.

The print statement is not needed in a test function and should be removed to keep the test output clean.

-  println('Subtract result: ${result}')

---

42-42: Remove unnecessary print statement.

The print statement is not needed in a test function and should be removed to keep the test output clean.

-  println('Multiply result: ${result}')

---

51-52: Remove unnecessary print statements.

The print statements are not needed in a test function and should be removed to keep the test output clean.

-  println('Divide quotient: ${quotient}')
-  println('Divide remainder: ${remainder}')

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Review profile: CHILL

poly/README.md (9)

29-29: Clarify the output array description.

The description of the output array for eval_derivs can be made clearer by explicitly stating that the array contains the polynomial value and its derivatives.

- The output array contains the values of `d^k P(x)/d x^k` for the specified value of `x`, starting with `k = 0`.
+ The output array contains the polynomial value and its derivatives, specifically the values of `d^k P(x)/d x^k` for the specified value of `x`, starting with `k = 0`.

---

43-43: Use an en dash for numerical ranges.

Consider using an en dash to indicate numerical ranges for better readability.

- The number of real roots (either zero, one, or two) is returned, and their locations are returned as `[ x0, x1 ]`.
+ The number of real roots (either zero, one, or two) is returned, and their locations are returned as `[ x0, x1 ]`.

---

59-59: Remove unnecessary hyphen.

The hyphen in "closely-spaced" is not necessary.

- finite precision may cause equal or closely-spaced real roots to move off the real axis into the complex plane
+ finite precision may cause equal or closely spaced real roots to move off the real axis into the complex plane

Tools

LanguageTool

[style] ~59-~59: Although a hyphen is possible, it is not necessary in a compound modifier in which the first word is an adverb that ends in ‘ly’.
Context: ...se, finite precision may cause equal or closely-spaced real roots to move off the real axis in...

(HYPHENATED_LY_ADVERB_ADJECTIVE)

---

75-75: Specify the language for the code block.

The fenced code block should have a language specified for better syntax highlighting.

- ```
+ ```console

Tools

Markdownlint

75-75: null
Fenced code blocks should have a language specified

(MD040, fenced-code-language)

---

97-97: Remove trailing spaces.

There is a trailing space that should be removed.

- Adds two polynomials: 
+ Adds two polynomials:

Tools

Markdownlint

97-97: Expected: 0 or 2; Actual: 1
Trailing spaces

(MD009, no-trailing-spaces)

---

103-103: Clarify the result description for add.

The description of the result for the add function can be made clearer by explicitly stating that the result is a polynomial with the summed coefficients.

- Returns the result as `[a_0 + b_0, a_1 + b_1, ..., max(a_k, b_k), ...]`.
+ Returns the result as a polynomial with the summed coefficients `[a_0 + b_0, a_1 + b_1, ..., max(a_k, b_k), ...]`.

---

115-115: Clarify the result description for subtract.

The description of the result for the subtract function can be made clearer by explicitly stating that the result is a polynomial with the subtracted coefficients.

- Returns the result as `[a_0 - b_0, a_1 - b_1, ..., a_k - b_k, ...]`.
+ Returns the result as a polynomial with the subtracted coefficients `[a_0 - b_0, a_1 - b_1, ..., a_k - b_k, ...]`.

---

127-127: Clarify the result description for multiply.

The description of the result for the multiply function can be made clearer by explicitly stating that the result is a polynomial with the multiplied coefficients.

- Returns the result as `[c_0, c_1, ..., c_{n+m}]` where `c_k = ∑_{i+j=k} a_i * b_j`.
+ Returns the result as a polynomial with the multiplied coefficients `[c_0, c_1, ..., c_{n+m}]` where `c_k = ∑_{i+j=k} a_i * b_j`.

---

139-139: Clarify the result description for divide.

The description of the result for the divide function can be made clearer by explicitly stating that the result is a tuple containing the quotient and remainder polynomials.

- Uses polynomial long division algorithm. Returns `(q, r)` where `q` is the quotient and `r` is the remainder such that `a(x) = b(x) * q(x) + r(x)` and `degree(r) < degree(b)`.
+ Uses polynomial long division algorithm. Returns a tuple `(q, r)` where `q` is the quotient polynomial and `r` is the remainder polynomial such that `a(x) = b(x) * q(x) + r(x)` and `degree(r) < degree(b)`.

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Review profile: CHILL

ml/random_forest_test.v (4)

5-12: Suggestion: Add edge case tests and more assertions.

The test function verifies the creation of a RandomForest object but could include edge case tests (e.g., zero or negative values) and additional assertions to ensure robustness.

+  // Add edge case tests
+  rf_zero := RandomForest.new(0, 0, 0, 0)
+  assert rf_zero.n_trees == 0
+  assert rf_zero.max_depth == 0
+  assert rf_zero.min_samples_split == 0
+  assert rf_zero.feature_subset_size == 0
+  assert rf_zero.trees.len == 0

---

14-24: Suggestion: Add assertions to verify the integrity of the sampled data.

The test function verifies the bootstrap sample size but could include additional assertions to check the integrity of the sampled data.

+  // Add assertions to verify the integrity of the sampled data
+  for sample in bootstrap.samples {
+    assert dataset.samples.contains(sample)
+  }

---

34-54: Suggestion: Add assertions to verify prediction accuracy.

The test function verifies the training and prediction capabilities but could include additional assertions to check the accuracy of the predictions.

+  // Add assertions to verify prediction accuracy
+  mut correct_predictions := 0
+  for i in 0 .. 100 {
+    features := [f64(i * 10), f64(i * 20), f64(i * 30), f64(i * 40)]
+    prediction := rf.predict(features)
+    if prediction == (i % 2) {
+      correct_predictions += 1
+    }
+  }
+  assert correct_predictions > 80 // Example threshold for accuracy

---

56-62: Suggestion: Improve the success message.

The success message could be more informative by including the number of tests passed.

-  println('All Random Forest tests passed successfully!')
+  println('${__FUNCTION__.len} Random Forest tests passed successfully!')

ml/decision_tree_test.v (4)

5-11: Suggestion: Add edge case tests and more assertions.

The test function verifies the creation of a DecisionTree object but could include edge case tests (e.g., zero or negative values) and additional assertions to ensure robustness.

+  // Add edge case tests
+  dt_zero := DecisionTree.new(0, 0)
+  assert dt_zero.max_depth == 0
+  assert dt_zero.min_samples_split == 0

---

22-34: Suggestion: Add assertions to verify the integrity of the added samples.

The test function verifies the addition of samples but could include additional assertions to check the integrity of the added samples.

+  // Add assertions to verify the integrity of the added samples
+  for sample in dataset.samples {
+    assert sample.features.len == 3
+    assert sample.label >= 0 && sample.label < 4
+  }

---

49-62: Suggestion: Add assertions to verify prediction accuracy.

The test function verifies the training and prediction capabilities but could include additional assertions to check the accuracy of the predictions.

+  // Add assertions to verify prediction accuracy
+  mut correct_predictions := 0
+  for sample in dataset.samples {
+    prediction := dt.predict(sample.features)
+    if prediction == sample.label {
+      correct_predictions += 1
+    }
+  }
+  assert correct_predictions > 3 // Example threshold for accuracy

---

86-93: Suggestion: Improve the success message.

The success message could be more informative by including the number of tests passed.

-  println('All Decision Tree tests passed successfully!')
+  println('${__FUNCTION__.len} Decision Tree tests passed successfully!')

ml/svm_test.v (3)

76-117: Suggestion: Add assertions to verify prediction accuracy.

The test function verifies the SVM training and prediction but could include additional assertions to check the accuracy of the predictions.

+  // Add assertions to verify prediction accuracy
+  mut correct_predictions := 0
+  for point in data {
+    pred := predict(model, point.x)
+    if pred == point.y {
+      correct_predictions += 1
+    }
+  }
+  assert correct_predictions > 3 // Example threshold for accuracy

---

119-168: Suggestion: Add assertions to verify prediction accuracy.

The test function verifies the multiclass SVM training and prediction but could include additional assertions to check the accuracy of the predictions.

+  // Add assertions to verify prediction accuracy
+  mut correct_predictions := 0
+  for point in data {
+    predicted_class := predict_multiclass(multiclass_model, point.x)
+    if predicted_class == point.y {
+      correct_predictions += 1
+    }
+  }
+  assert correct_predictions > 3 // Example threshold for accuracy

---

170-180: Suggestion: Improve the success message.

The success message could be more informative by including the number of tests passed.

-  println('All SVM tests passed successfully!')
+  println('${__FUNCTION__.len} SVM tests passed successfully!')

poly/README.md (2)

46-50: Approved: Improved readability and grammar.

The changes enhance the clarity and grammatical correctness of the description.

Apply grammatical improvements.

Add a comma after "i.e." and "for example" for better readability.

- If one real root is found (i.e. if `a=0`) then it is returned as `[ x0 ]`.
+ If one real root is found (i.e., if `a=0`) then it is returned as `[ x0 ]`.

- For example `(x-1)^2=0` will have two roots, which happen to have exactly equal values.
+ For example, `(x-1)^2=0` will have two roots, which happen to have exactly equal values.

Tools

LanguageTool

[typographical] ~48-~48: Consider adding a comma.
Context: ...f one real root is found (i.e. if a=0) then it is returned as [ x0 ]. When two re...

(IF_THEN_COMMA)

---

[typographical] ~50-~50: After the expression ‘for example’ a comma is usually used.
Context: ...nt roots is not considered special. For example (x-1)^2=0 will have two roots, which ...

(COMMA_FOR_EXAMPLE)

---

70-75: Approved: Improved readability and style.

The changes enhance the clarity and readability of the description.

Apply style improvement.

Remove the unnecessary hyphen in "closely-spaced".

- finite precision may cause equal or closely-spaced real roots to move off the real axis
+ finite precision may cause equal or closely spaced real roots to move off the real axis

Tools

LanguageTool

[style] ~75-~75: Although a hyphen is possible, it is not necessary in a compound modifier in which the first word is an adverb that ends in ‘ly’.
Context: ...se, finite precision may cause equal or closely-spaced real roots to move off the real axis in...

(HYPHENATED_LY_ADVERB_ADJECTIVE)

ml/random_forest.v (3)

24-32: Approved: Correct bootstrap sample function.

The bootstrap_sample function correctly creates a bootstrap sample from the given dataset.

Add error handling for rand.intn.

The use of rand.intn without error handling might lead to unexpected behavior. Consider adding error handling.

- sample_index := rand.intn(dataset.samples.len) or { 0 }
+ sample_index := rand.intn(dataset.samples.len) or { panic("Failed to generate random index") }

---

40-50: Approved: Correct training function.

The RandomForest.train function correctly trains the random forest on the given dataset.

Add logging for debugging.

Consider adding logging to help with debugging during the training process.

+ println("Training tree \${_ + 1} of \${rf.n_trees}")

---

52-65: Approved: Correct prediction function.

The RandomForest.predict function correctly predicts the class label for the given features using the trained random forest.

Use a more descriptive sentinel value.

Consider using a more descriptive sentinel value instead of -1 for no trees.

- return -1
+ return -9999 // No trees available

ml/decision_tree.v (3)

62-71: Approved: Correct sample addition function.

The Dataset.add_sample function correctly adds a sample to the dataset.

Improve return type for better readability.

Consider using a more descriptive return type, such as Result<bool, String>, for better readability and error handling.

- pub fn (mut dataset Dataset) add_sample(features []f64, label int) bool {
+ pub fn (mut dataset Dataset) add_sample(features []f64, label int) Result<bool, String> {

---

89-124: Approved: Correct best split function.

The find_best_split function correctly finds the best split for the dataset.

Add logging for debugging.

Consider adding logging to help with debugging during the split finding process.

+ println("Evaluating feature \${feature} with threshold \${threshold}")

---

126-179: Approved: Correct tree building function.

The build_tree function correctly builds a decision tree from the dataset.

Add logging for debugging.

Consider adding logging to help with debugging during the tree building process.

+ println("Building tree node with feature \${best_feature} and threshold \${best_threshold}")

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Review profile: CHILL

Configuration used: CodeRabbit UI
Review profile: CHILL